biolab/orange3-timeseries

🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Orange3-Timeseries

Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.

Package documentation: http://orange3-timeseries.readthedocs.io/

Installing

Via Add-on Dialogue

Go to Options - Add-ons in Orange, select Timeseries from the list of add-on and install. Restart Orange for the add-on to appear.

With Anaconda

The easiest way to install Orange3-Timeseries on a non-GNU/Linux system is with Anaconda distribution for your OS (Python version 3.5). In your Anaconda Prompt, first add conda-forge to your channels:

conda config --add channels conda-forge

Then install Orange3:

conda install orange3

This will install the latest release of Orange. Then install Orange3-Timeseries:

conda install Orange3-Timeseries

Run:

orange-canvas

to open Orange and check if everything is installed properly.

From source

To install the add-on from source

# Clone the repository and move into it
git clone https://github.com/biolab/orange3-timeseries.git
cd orange3-timeseries

# Install corresponding wheels for your OS:
pip install some-wheel.whl

# Install Orange3-Timeseries in editable/development mode.
pip install -e .

• numpy+mkl
• scipy
• statsmodels

To register this add-on with Orange, run

python setup.py install

orange3-timeseries's Issues

Line Chart: crashes when var name changed

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

Line Chart updates variable list and keeps the selection when changing variable name.

Actual behavior

Line Chart crashes.

Steps to reproduce the behavior

Yahoo Finance - Edit Domain - Line Chart. Select a variable to show.
Change variable name in Edit Domain. Re-select the renamed variable.

Additional info (worksheets, data, screenshots, ...)

---------------------------- ValueError Exception -----------------------------
Traceback (most recent call last):
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owlinechart.py", line 171, in setSeries
    newseries.append(data.get_column_view(attr)[0])
  File "/Users/ajda/orange/orange3/Orange/data/table.py", line 1109, in get_column_view
    col_index = self.domain.index(index)
  File "/Users/ajda/orange/orange3/Orange/data/domain.py", line 356, in index
    raise ValueError("'%s' is not in domain" % var)
ValueError: 'New name' is not in domain
-------------------------------------------------------------------------------

Line Chart: if no attr selected, show count

Timeseries version

0.3.6

Orange version

3.26.0.dev

Requested feature

By default (if not attribute is selected), Line Chart shows nothing. It would be nice if it showed occurrences of data instances (just like one would add a column with all 1).

Line Chart Widget is missing in Timeseries

The Line Chart Widget seems to be missing in the Timeseries add-on

Error while importing 'orangecontrib.timeseries.widgets.owyahoofinance'. The widget will not be shown.

$ orange-canvas 
Error while importing 'orangecontrib.timeseries.widgets.owyahoofinance'. The widget will not be shown.
Traceback (most recent call last):
  File "/usr/local/lib/python3.6/site-packages/Orange/canvas/registry/discovery.py", line 261, in iter_widget_descriptions
    module = asmodule(name)
  File "/usr/local/lib/python3.6/site-packages/Orange/canvas/registry/discovery.py", line 491, in asmodule
    return __import__(module, fromlist=[""])
  File "/usr/local/lib/python3.6/site-packages/orangecontrib/timeseries/widgets/owyahoofinance.py", line 10, in <module>
    from orangecontrib.timeseries.datasources import finance_data
  File "/usr/local/lib/python3.6/site-packages/orangecontrib/timeseries/datasources.py", line 4, in <module>
    import pandas_datareader.data as web
  File "/usr/local/lib/python3.6/site-packages/pandas_datareader/__init__.py", line 2, in <module>
    from .data import (DataReader, Options, get_components_yahoo,
  File "/usr/local/lib/python3.6/site-packages/pandas_datareader/data.py", line 14, in <module>
    from pandas_datareader.fred import FredReader
  File "/usr/local/lib/python3.6/site-packages/pandas_datareader/fred.py", line 1, in <module>
    from pandas.core.common import is_list_like
ImportError: cannot import name 'is_list_like'

orange3-3.13.0.120
py36-orange3-timeseries-0.3.3
py36-pandas-0.23.0
py36-pandas-datareader-0.6.0_1

Orange TimeSeries installation fails

Installation from Options->Add-Ons in Orange, fails with error below:

Collecting Orange3-Timeseries
  Using cached Orange3-Timeseries-0.3.2.tar.gz
Requirement already satisfied: Orange3 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3-Timeseries)
Collecting statsmodels>=0.6.1 (from Orange3-Timeseries)
  Using cached statsmodels-0.8.0.tar.gz
Requirement already satisfied: pandas in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3-Timeseries)
Requirement already satisfied: numpy in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3-Timeseries)
Collecting scipy>=0.17 (from Orange3-Timeseries)
  Using cached scipy-1.0.0-cp34-none-win32.whl
Requirement already satisfied: chardet>=2.3.0 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: pip>=9.0 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: keyring in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: scikit-learn>=0.18.1 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: setuptools>=36.3 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: pyqtgraph>=0.10.0 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: serverfiles in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: bottleneck>=1.0.0 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: dill in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: keyrings.alt in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: docutils in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: AnyQt>=0.0.8 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: joblib>=0.9.4 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: typing; python_version <= "3.4" in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: xlrd>=0.9.2 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: CommonMark>=0.5.5 in c:\users\alireza\appdata\local\orange\lib\site-packages (from Orange3->Orange3-Timeseries)
Requirement already satisfied: pytz>=2011k in c:\users\alireza\appdata\local\orange\lib\site-packages (from pandas->Orange3-Timeseries)
Requirement already satisfied: python-dateutil>=2 in c:\users\alireza\appdata\local\orange\lib\site-packages (from pandas->Orange3-Timeseries)
Requirement already satisfied: pywin32-ctypes; sys_platform == "win32" in c:\users\alireza\appdata\local\orange\lib\site-packages (from keyring->Orange3->Orange3-Timeseries)
Requirement already satisfied: requests>=2.11.1 in c:\users\alireza\appdata\local\orange\lib\site-packages (from serverfiles->Orange3->Orange3-Timeseries)
Requirement already satisfied: pyreadline>=1.7.1 in c:\users\alireza\appdata\local\orange\lib\site-packages (from dill->Orange3->Orange3-Timeseries)
Requirement already satisfied: six in c:\users\alireza\appdata\local\orange\lib\site-packages (from keyrings.alt->Orange3->Orange3-Timeseries)
Requirement already satisfied: future in c:\users\alireza\appdata\local\orange\lib\site-packages (from CommonMark>=0.5.5->Orange3->Orange3-Timeseries)
Requirement already satisfied: urllib3<1.23,>=1.21.1 in c:\users\alireza\appdata\local\orange\lib\site-packages (from requests>=2.11.1->serverfiles->Orange3->Orange3-Timeseries)
Requirement already satisfied: certifi>=2017.4.17 in c:\users\alireza\appdata\local\orange\lib\site-packages (from requests>=2.11.1->serverfiles->Orange3->Orange3-Timeseries)
Requirement already satisfied: idna<2.7,>=2.5 in c:\users\alireza\appdata\local\orange\lib\site-packages (from requests>=2.11.1->serverfiles->Orange3->Orange3-Timeseries)
Installing collected packages: statsmodels, scipy, Orange3-Timeseries
  Running setup.py install for statsmodels: started
    Running setup.py install for statsmodels: finished with status 'error'
    Complete output from command C:\Users\Alireza\AppData\Local\Orange\Scripts\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\Alireza\\AppData\\Local\\Temp\\pip-build-lybsqx1l\\statsmodels\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\Alireza\AppData\Local\Temp\pip-6egdiyom-record\install-record.txt --single-version-externally-managed --compile --install-headers C:\Users\Alireza\AppData\Local\Orange\include\site\python3.4\statsmodels:
    running install
    running build
    running build_py
    creating build
    creating build\lib.win32-3.4
    creating build\lib.win32-3.4\statsmodels
    copying statsmodels\api.py -> build\lib.win32-3.4\statsmodels
    copying statsmodels\info.py -> build\lib.win32-3.4\statsmodels
    copying statsmodels\version.py -> build\lib.win32-3.4\statsmodels
    copying statsmodels\__init__.py -> build\lib.win32-3.4\statsmodels
    creating build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\covtype.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\data.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\elastic_net.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\l1_cvxopt.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\l1_slsqp.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\l1_solvers_common.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\model.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\optimizer.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\wrapper.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\_constraints.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\_penalties.py -> build\lib.win32-3.4\statsmodels\base
    copying statsmodels\base\__init__.py -> build\lib.win32-3.4\statsmodels\base
    creating build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\collections.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\counter.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\numpy.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\ordereddict.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\pandas.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\python.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\scipy.py -> build\lib.win32-3.4\statsmodels\compat
    copying statsmodels\compat\__init__.py -> build\lib.win32-3.4\statsmodels\compat
    creating build\lib.win32-3.4\statsmodels\datasets
    copying statsmodels\datasets\template_data.py -> build\lib.win32-3.4\statsmodels\datasets
    copying statsmodels\datasets\utils.py -> build\lib.win32-3.4\statsmodels\datasets
    copying statsmodels\datasets\__init__.py -> build\lib.win32-3.4\statsmodels\datasets
    creating build\lib.win32-3.4\statsmodels\discrete
    copying statsmodels\discrete\discrete_margins.py -> build\lib.win32-3.4\statsmodels\discrete
    copying statsmodels\discrete\discrete_model.py -> build\lib.win32-3.4\statsmodels\discrete
    copying statsmodels\discrete\__init__.py -> build\lib.win32-3.4\statsmodels\discrete
    creating build\lib.win32-3.4\statsmodels\distributions
    copying statsmodels\distributions\edgeworth.py -> build\lib.win32-3.4\statsmodels\distributions
    copying statsmodels\distributions\empirical_distribution.py -> build\lib.win32-3.4\statsmodels\distributions
    copying statsmodels\distributions\mixture_rvs.py -> build\lib.win32-3.4\statsmodels\distributions
    copying statsmodels\distributions\__init__.py -> build\lib.win32-3.4\statsmodels\distributions
    creating build\lib.win32-3.4\statsmodels\duration
    copying statsmodels\duration\api.py -> build\lib.win32-3.4\statsmodels\duration
    copying statsmodels\duration\hazard_regression.py -> build\lib.win32-3.4\statsmodels\duration
    copying statsmodels\duration\survfunc.py -> build\lib.win32-3.4\statsmodels\duration
    copying statsmodels\duration\__init__.py -> build\lib.win32-3.4\statsmodels\duration
    creating build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\aft_el.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\api.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\descriptive.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\elanova.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\elregress.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\koul_and_mc.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\originregress.py -> build\lib.win32-3.4\statsmodels\emplike
    copying statsmodels\emplike\__init__.py -> build\lib.win32-3.4\statsmodels\emplike
    creating build\lib.win32-3.4\statsmodels\formula
    copying statsmodels\formula\api.py -> build\lib.win32-3.4\statsmodels\formula
    copying statsmodels\formula\formulatools.py -> build\lib.win32-3.4\statsmodels\formula
    copying statsmodels\formula\__init__.py -> build\lib.win32-3.4\statsmodels\formula
    creating build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\api.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\cov_struct.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\generalized_estimating_equations.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\generalized_linear_model.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\_prediction.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\_tweedie_compound_poisson.py -> build\lib.win32-3.4\statsmodels\genmod
    copying statsmodels\genmod\__init__.py -> build\lib.win32-3.4\statsmodels\genmod
    creating build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\api.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\boxplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\correlation.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\dotplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\factorplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\functional.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\gofplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\mosaicplot.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\plottools.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\plot_grids.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\regressionplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\tsaplots.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\tukeyplot.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\utils.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\_regressionplots_doc.py -> build\lib.win32-3.4\statsmodels\graphics
    copying statsmodels\graphics\__init__.py -> build\lib.win32-3.4\statsmodels\graphics
    creating build\lib.win32-3.4\statsmodels\imputation
    copying statsmodels\imputation\mice.py -> build\lib.win32-3.4\statsmodels\imputation
    copying statsmodels\imputation\ros.py -> build\lib.win32-3.4\statsmodels\imputation
    copying statsmodels\imputation\__init__.py -> build\lib.win32-3.4\statsmodels\imputation
    creating build\lib.win32-3.4\statsmodels\interface
    copying statsmodels\interface\__init__.py -> build\lib.win32-3.4\statsmodels\interface
    creating build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\api.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\foreign.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\openfile.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\smpickle.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\stata_summary_examples.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\summary.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\summary2.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\table.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\tableformatting.py -> build\lib.win32-3.4\statsmodels\iolib
    copying statsmodels\iolib\__init__.py -> build\lib.win32-3.4\statsmodels\iolib
    creating build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\api.py -> build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\count.py -> build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\nonlinls.py -> build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\tmodel.py -> build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\try_mlecov.py -> build\lib.win32-3.4\statsmodels\miscmodels
    copying statsmodels\miscmodels\__init__.py -> build\lib.win32-3.4\statsmodels\miscmodels
    creating build\lib.win32-3.4\statsmodels\multivariate
    copying statsmodels\multivariate\pca.py -> build\lib.win32-3.4\statsmodels\multivariate
    copying statsmodels\multivariate\__init__.py -> build\lib.win32-3.4\statsmodels\multivariate
    creating build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\api.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\bandwidths.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\kde.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\kdetools.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\kernels.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\kernel_density.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\kernel_regression.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\smoothers_lowess.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\smoothers_lowess_old.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\_kernel_base.py -> build\lib.win32-3.4\statsmodels\nonparametric
    copying statsmodels\nonparametric\__init__.py -> build\lib.win32-3.4\statsmodels\nonparametric
    creating build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\feasible_gls.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\linear_model.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\mixed_linear_model.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\quantile_regression.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\recursive_ls.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\_prediction.py -> build\lib.win32-3.4\statsmodels\regression
    copying statsmodels\regression\__init__.py -> build\lib.win32-3.4\statsmodels\regression
    creating build\lib.win32-3.4\statsmodels\resampling
    copying statsmodels\resampling\__init__.py -> build\lib.win32-3.4\statsmodels\resampling
    creating build\lib.win32-3.4\statsmodels\robust
    copying statsmodels\robust\norms.py -> build\lib.win32-3.4\statsmodels\robust
    copying statsmodels\robust\robust_linear_model.py -> build\lib.win32-3.4\statsmodels\robust
    copying statsmodels\robust\scale.py -> build\lib.win32-3.4\statsmodels\robust
    copying statsmodels\robust\__init__.py -> build\lib.win32-3.4\statsmodels\robust
    creating build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\bspline.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\contrast_old.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\cox.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\descstats.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\formula.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\gam.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\infotheo.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\km_class.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\mle.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\multilinear.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\pca.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\predict_functional.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\rls.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\survival.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\survival2.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\sysreg.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\utils_old.py -> build\lib.win32-3.4\statsmodels\sandbox
    copying statsmodels\sandbox\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox
    creating build\lib.win32-3.4\statsmodels\src
    copying statsmodels\src\__init__.py -> build\lib.win32-3.4\statsmodels\src
    creating build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\anova.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\api.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\base.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\contingency_tables.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\contrast.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\correlation_tools.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\descriptivestats.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\diagnostic.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\gof.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\inter_rater.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\mediation.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\moment_helpers.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\multicomp.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\multitest.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\multivariate_tools.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\outliers_influence.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\power.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\proportion.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\sandwich_covariance.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\stattools.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\tabledist.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\weightstats.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\_adnorm.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\_lilliefors.py -> build\lib.win32-3.4\statsmodels\stats
    copying statsmodels\stats\__init__.py -> build\lib.win32-3.4\statsmodels\stats
    creating build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\catadd.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\data.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\decorators.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\dump2module.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\eval_measures.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\grouputils.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\linalg.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\numdiff.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\parallel.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\print_version.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\rootfinding.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\sm_exceptions.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\testing.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\tools.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\transform_model.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\web.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\wrappers.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\_testing.py -> build\lib.win32-3.4\statsmodels\tools
    copying statsmodels\tools\__init__.py -> build\lib.win32-3.4\statsmodels\tools
    creating build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\adfvalues.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\api.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\arima_model.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\arima_process.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\arma_mle.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\ar_model.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\descriptivestats.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\mlemodel.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\seasonal.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\stattools.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\tsatools.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\varma_process.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\x13.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\_bds.py -> build\lib.win32-3.4\statsmodels\tsa
    copying statsmodels\tsa\__init__.py -> build\lib.win32-3.4\statsmodels\tsa
    creating build\lib.win32-3.4\statsmodels\base\tests
    copying statsmodels\base\tests\test_data.py -> build\lib.win32-3.4\statsmodels\base\tests
    copying statsmodels\base\tests\test_generic_methods.py -> build\lib.win32-3.4\statsmodels\base\tests
    copying statsmodels\base\tests\test_optimize.py -> build\lib.win32-3.4\statsmodels\base\tests
    copying statsmodels\base\tests\test_shrink_pickle.py -> build\lib.win32-3.4\statsmodels\base\tests
    copying statsmodels\base\tests\__init__.py -> build\lib.win32-3.4\statsmodels\base\tests
    creating build\lib.win32-3.4\statsmodels\compat\tests
    copying statsmodels\compat\tests\test_collections.py -> build\lib.win32-3.4\statsmodels\compat\tests
    copying statsmodels\compat\tests\test_itercompat.py -> build\lib.win32-3.4\statsmodels\compat\tests
    copying statsmodels\compat\tests\test_scipy_compat.py -> build\lib.win32-3.4\statsmodels\compat\tests
    copying statsmodels\compat\tests\__init__.py -> build\lib.win32-3.4\statsmodels\compat\tests
    creating build\lib.win32-3.4\statsmodels\datasets\anes96
    copying statsmodels\datasets\anes96\data.py -> build\lib.win32-3.4\statsmodels\datasets\anes96
    copying statsmodels\datasets\anes96\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\anes96
    creating build\lib.win32-3.4\statsmodels\datasets\cancer
    copying statsmodels\datasets\cancer\data.py -> build\lib.win32-3.4\statsmodels\datasets\cancer
    copying statsmodels\datasets\cancer\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\cancer
    creating build\lib.win32-3.4\statsmodels\datasets\ccard
    copying statsmodels\datasets\ccard\data.py -> build\lib.win32-3.4\statsmodels\datasets\ccard
    copying statsmodels\datasets\ccard\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\ccard
    creating build\lib.win32-3.4\statsmodels\datasets\china_smoking
    copying statsmodels\datasets\china_smoking\data.py -> build\lib.win32-3.4\statsmodels\datasets\china_smoking
    copying statsmodels\datasets\china_smoking\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\china_smoking
    creating build\lib.win32-3.4\statsmodels\datasets\co2
    copying statsmodels\datasets\co2\data.py -> build\lib.win32-3.4\statsmodels\datasets\co2
    copying statsmodels\datasets\co2\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\co2
    creating build\lib.win32-3.4\statsmodels\datasets\committee
    copying statsmodels\datasets\committee\data.py -> build\lib.win32-3.4\statsmodels\datasets\committee
    copying statsmodels\datasets\committee\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\committee
    creating build\lib.win32-3.4\statsmodels\datasets\copper
    copying statsmodels\datasets\copper\data.py -> build\lib.win32-3.4\statsmodels\datasets\copper
    copying statsmodels\datasets\copper\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\copper
    creating build\lib.win32-3.4\statsmodels\datasets\cpunish
    copying statsmodels\datasets\cpunish\data.py -> build\lib.win32-3.4\statsmodels\datasets\cpunish
    copying statsmodels\datasets\cpunish\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\cpunish
    creating build\lib.win32-3.4\statsmodels\datasets\elnino
    copying statsmodels\datasets\elnino\data.py -> build\lib.win32-3.4\statsmodels\datasets\elnino
    copying statsmodels\datasets\elnino\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\elnino
    creating build\lib.win32-3.4\statsmodels\datasets\engel
    copying statsmodels\datasets\engel\data.py -> build\lib.win32-3.4\statsmodels\datasets\engel
    copying statsmodels\datasets\engel\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\engel
    creating build\lib.win32-3.4\statsmodels\datasets\fair
    copying statsmodels\datasets\fair\data.py -> build\lib.win32-3.4\statsmodels\datasets\fair
    copying statsmodels\datasets\fair\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\fair
    creating build\lib.win32-3.4\statsmodels\datasets\fertility
    copying statsmodels\datasets\fertility\data.py -> build\lib.win32-3.4\statsmodels\datasets\fertility
    copying statsmodels\datasets\fertility\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\fertility
    creating build\lib.win32-3.4\statsmodels\datasets\grunfeld
    copying statsmodels\datasets\grunfeld\data.py -> build\lib.win32-3.4\statsmodels\datasets\grunfeld
    copying statsmodels\datasets\grunfeld\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\grunfeld
    creating build\lib.win32-3.4\statsmodels\datasets\heart
    copying statsmodels\datasets\heart\data.py -> build\lib.win32-3.4\statsmodels\datasets\heart
    copying statsmodels\datasets\heart\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\heart
    creating build\lib.win32-3.4\statsmodels\datasets\longley
    copying statsmodels\datasets\longley\data.py -> build\lib.win32-3.4\statsmodels\datasets\longley
    copying statsmodels\datasets\longley\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\longley
    creating build\lib.win32-3.4\statsmodels\datasets\macrodata
    copying statsmodels\datasets\macrodata\data.py -> build\lib.win32-3.4\statsmodels\datasets\macrodata
    copying statsmodels\datasets\macrodata\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\macrodata
    creating build\lib.win32-3.4\statsmodels\datasets\modechoice
    copying statsmodels\datasets\modechoice\data.py -> build\lib.win32-3.4\statsmodels\datasets\modechoice
    copying statsmodels\datasets\modechoice\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\modechoice
    creating build\lib.win32-3.4\statsmodels\datasets\nile
    copying statsmodels\datasets\nile\data.py -> build\lib.win32-3.4\statsmodels\datasets\nile
    copying statsmodels\datasets\nile\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\nile
    creating build\lib.win32-3.4\statsmodels\datasets\randhie
    copying statsmodels\datasets\randhie\data.py -> build\lib.win32-3.4\statsmodels\datasets\randhie
    copying statsmodels\datasets\randhie\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\randhie
    creating build\lib.win32-3.4\statsmodels\datasets\scotland
    copying statsmodels\datasets\scotland\data.py -> build\lib.win32-3.4\statsmodels\datasets\scotland
    copying statsmodels\datasets\scotland\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\scotland
    creating build\lib.win32-3.4\statsmodels\datasets\spector
    copying statsmodels\datasets\spector\data.py -> build\lib.win32-3.4\statsmodels\datasets\spector
    copying statsmodels\datasets\spector\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\spector
    creating build\lib.win32-3.4\statsmodels\datasets\stackloss
    copying statsmodels\datasets\stackloss\data.py -> build\lib.win32-3.4\statsmodels\datasets\stackloss
    copying statsmodels\datasets\stackloss\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\stackloss
    creating build\lib.win32-3.4\statsmodels\datasets\star98
    copying statsmodels\datasets\star98\data.py -> build\lib.win32-3.4\statsmodels\datasets\star98
    copying statsmodels\datasets\star98\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\star98
    creating build\lib.win32-3.4\statsmodels\datasets\statecrime
    copying statsmodels\datasets\statecrime\data.py -> build\lib.win32-3.4\statsmodels\datasets\statecrime
    copying statsmodels\datasets\statecrime\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\statecrime
    creating build\lib.win32-3.4\statsmodels\datasets\strikes
    copying statsmodels\datasets\strikes\data.py -> build\lib.win32-3.4\statsmodels\datasets\strikes
    copying statsmodels\datasets\strikes\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\strikes
    creating build\lib.win32-3.4\statsmodels\datasets\sunspots
    copying statsmodels\datasets\sunspots\data.py -> build\lib.win32-3.4\statsmodels\datasets\sunspots
    copying statsmodels\datasets\sunspots\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\sunspots
    creating build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\datasets\tests\test_data.py -> build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\datasets\tests\test_utils.py -> build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\datasets\tests\__init__.py -> build\lib.win32-3.4\statsmodels\datasets\tests
    creating build\lib.win32-3.4\statsmodels\discrete\tests
    copying statsmodels\discrete\tests\test_constrained.py -> build\lib.win32-3.4\statsmodels\discrete\tests
    copying statsmodels\discrete\tests\test_discrete.py -> build\lib.win32-3.4\statsmodels\discrete\tests
    copying statsmodels\discrete\tests\test_sandwich_cov.py -> build\lib.win32-3.4\statsmodels\discrete\tests
    copying statsmodels\discrete\tests\__init__.py -> build\lib.win32-3.4\statsmodels\discrete\tests
    creating build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\results_count_robust_cluster.py -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\results_discrete.py -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\results_glm_logit_constrained.py -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\results_poisson_constrained.py -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    creating build\lib.win32-3.4\statsmodels\distributions\tests
    copying statsmodels\distributions\tests\test_ecdf.py -> build\lib.win32-3.4\statsmodels\distributions\tests
    copying statsmodels\distributions\tests\test_edgeworth.py -> build\lib.win32-3.4\statsmodels\distributions\tests
    copying statsmodels\distributions\tests\test_mixture.py -> build\lib.win32-3.4\statsmodels\distributions\tests
    copying statsmodels\distributions\tests\__init__.py -> build\lib.win32-3.4\statsmodels\distributions\tests
    creating build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\phreg_gentests.py -> build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\survival_enet_r_results.py -> build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\survival_r_results.py -> build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\test_phreg.py -> build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\test_survfunc.py -> build\lib.win32-3.4\statsmodels\duration\tests
    copying statsmodels\duration\tests\__init__.py -> build\lib.win32-3.4\statsmodels\duration\tests
    creating build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\duration\tests\results
    creating build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\test_aft.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\test_anova.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\test_descriptive.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\test_origin.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\test_regression.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    copying statsmodels\emplike\tests\__init__.py -> build\lib.win32-3.4\statsmodels\emplike\tests
    creating build\lib.win32-3.4\statsmodels\emplike\tests\results
    copying statsmodels\emplike\tests\results\el_results.py -> build\lib.win32-3.4\statsmodels\emplike\tests\results
    copying statsmodels\emplike\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\emplike\tests\results
    creating build\lib.win32-3.4\statsmodels\formula\tests
    copying statsmodels\formula\tests\test_formula.py -> build\lib.win32-3.4\statsmodels\formula\tests
    copying statsmodels\formula\tests\__init__.py -> build\lib.win32-3.4\statsmodels\formula\tests
    creating build\lib.win32-3.4\statsmodels\genmod\families
    copying statsmodels\genmod\families\family.py -> build\lib.win32-3.4\statsmodels\genmod\families
    copying statsmodels\genmod\families\links.py -> build\lib.win32-3.4\statsmodels\genmod\families
    copying statsmodels\genmod\families\varfuncs.py -> build\lib.win32-3.4\statsmodels\genmod\families
    copying statsmodels\genmod\families\__init__.py -> build\lib.win32-3.4\statsmodels\genmod\families
    creating build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\gee_categorical_simulation_check.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\gee_gaussian_simulation_check.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\gee_poisson_simulation_check.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\gee_simulation_check.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\glmnet_r_results.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\test_gee.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\test_glm.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\test_glm_weights.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    copying statsmodels\genmod\tests\__init__.py -> build\lib.win32-3.4\statsmodels\genmod\tests
    creating build\lib.win32-3.4\statsmodels\genmod\families\tests
    copying statsmodels\genmod\families\tests\test_link.py -> build\lib.win32-3.4\statsmodels\genmod\families\tests
    copying statsmodels\genmod\families\tests\__init__.py -> build\lib.win32-3.4\statsmodels\genmod\families\tests
    creating build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\elastic_net_generate_tests.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_generate_tests.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\glm_test_resids.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\results_glm.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\results_glm_poisson_weights.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    creating build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_boxplots.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_correlation.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_dotplot.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_factorplots.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_functional.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_gofplots.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_mosaicplot.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_regressionplots.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\test_tsaplots.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    copying statsmodels\graphics\tests\__init__.py -> build\lib.win32-3.4\statsmodels\graphics\tests
    creating build\lib.win32-3.4\statsmodels\imputation\tests
    copying statsmodels\imputation\tests\test_mice.py -> build\lib.win32-3.4\statsmodels\imputation\tests
    copying statsmodels\imputation\tests\test_ros.py -> build\lib.win32-3.4\statsmodels\imputation\tests
    copying statsmodels\imputation\tests\__init__.py -> build\lib.win32-3.4\statsmodels\imputation\tests
    creating build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_foreign.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_pickle.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_summary.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_summary_old.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_table.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\test_table_econpy.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    copying statsmodels\iolib\tests\__init__.py -> build\lib.win32-3.4\statsmodels\iolib\tests
    creating build\lib.win32-3.4\statsmodels\iolib\tests\results
    copying statsmodels\iolib\tests\results\macrodata.py -> build\lib.win32-3.4\statsmodels\iolib\tests\results
    copying statsmodels\iolib\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\iolib\tests\results
    creating build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\results_tmodel.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\test_generic_mle.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\test_poisson.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\test_tarma.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\test_tmodel.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    copying statsmodels\miscmodels\tests\__init__.py -> build\lib.win32-3.4\statsmodels\miscmodels\tests
    creating build\lib.win32-3.4\statsmodels\multivariate\tests
    copying statsmodels\multivariate\tests\test_pca.py -> build\lib.win32-3.4\statsmodels\multivariate\tests
    copying statsmodels\multivariate\tests\__init__.py -> build\lib.win32-3.4\statsmodels\multivariate\tests
    creating build\lib.win32-3.4\statsmodels\multivariate\tests\results
    copying statsmodels\multivariate\tests\results\datamlw.py -> build\lib.win32-3.4\statsmodels\multivariate\tests\results
    copying statsmodels\multivariate\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\multivariate\tests\results
    creating build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_bandwidths.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_kde.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_kernels.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_kernel_density.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_kernel_regression.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\test_lowess.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    copying statsmodels\nonparametric\tests\__init__.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests
    creating build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    creating build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\generate_lasso.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\generate_lme.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\glmnet_r_results.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\lme_r_results.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\results_quantile_regression.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\tests_predict.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_cov.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_glsar_gretl.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_glsar_stata.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_lme.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_quantile_regression.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_recursive_ls.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_regression.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\test_robustcov.py -> build\lib.win32-3.4\statsmodels\regression\tests
    copying statsmodels\regression\tests\__init__.py -> build\lib.win32-3.4\statsmodels\regression\tests
    creating build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\macro_gr_corc_stata.py -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\results_grunfeld_ols_robust_cluster.py -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\results_macro_ols_robust.py -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\results_regression.py -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\regression\tests\results
    creating build\lib.win32-3.4\statsmodels\robust\tests
    copying statsmodels\robust\tests\test_rlm.py -> build\lib.win32-3.4\statsmodels\robust\tests
    copying statsmodels\robust\tests\test_scale.py -> build\lib.win32-3.4\statsmodels\robust\tests
    copying statsmodels\robust\tests\__init__.py -> build\lib.win32-3.4\statsmodels\robust\tests
    creating build\lib.win32-3.4\statsmodels\robust\tests\results
    copying statsmodels\robust\tests\results\results_rlm.py -> build\lib.win32-3.4\statsmodels\robust\tests\results
    copying statsmodels\robust\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\robust\tests\results
    creating build\lib.win32-3.4\statsmodels\sandbox\archive
    copying statsmodels\sandbox\archive\linalg_covmat.py -> build\lib.win32-3.4\statsmodels\sandbox\archive
    copying statsmodels\sandbox\archive\linalg_decomp_1.py -> build\lib.win32-3.4\statsmodels\sandbox\archive
    copying statsmodels\sandbox\archive\tsa.py -> build\lib.win32-3.4\statsmodels\sandbox\archive
    copying statsmodels\sandbox\archive\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\archive
    creating build\lib.win32-3.4\statsmodels\sandbox\datarich
    copying statsmodels\sandbox\datarich\factormodels.py -> build\lib.win32-3.4\statsmodels\sandbox\datarich
    copying statsmodels\sandbox\datarich\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\datarich
    creating build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\copula.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\estimators.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\extras.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\genpareto.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\gof_new.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\multivariate.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\mv_measures.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\mv_normal.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\otherdist.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\quantize.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\sppatch.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\transformed.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\transform_functions.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\try_max.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\try_pot.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    copying statsmodels\sandbox\distributions\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions
    creating build\lib.win32-3.4\statsmodels\sandbox\mcevaluate
    copying statsmodels\sandbox\mcevaluate\arma.py -> build\lib.win32-3.4\statsmodels\sandbox\mcevaluate
    copying statsmodels\sandbox\mcevaluate\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\mcevaluate
    creating build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\densityorthopoly.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\dgp_examples.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\kde2.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\kdecovclass.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\kernels.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\kernel_extras.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\smoothers.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\testdata.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    copying statsmodels\sandbox\nonparametric\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric
    creating build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\correlation_structures.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\mixed.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\panelmod.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\panel_short.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\random_panel.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\sandwich_covariance.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\sandwich_covariance_generic.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    copying statsmodels\sandbox\panel\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\panel
    creating build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\anova_nistcertified.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\ar_panel.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\example_kernridge.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\gmm.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\kernridgeregress_class.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\ols_anova_original.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\onewaygls.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\penalized.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\predstd.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\runmnl.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\sympy_diff.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\tools.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\treewalkerclass.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\try_catdata.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\try_ols_anova.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\try_treewalker.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    copying statsmodels\sandbox\regression\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\regression
    creating build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\contrast_tools.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\diagnostic.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\ex_newtests.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\multicomp.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\runs.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\stats_dhuard.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\stats_mstats_short.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    copying statsmodels\sandbox\stats\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\stats
    creating build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\datamlw.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\maketests_mlabwrap.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\model_results.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\savervs.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\test_formula.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\test_gam.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\test_pca.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\test_predict_functional.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    copying statsmodels\sandbox\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\tests
    creating build\lib.win32-3.4\statsmodels\sandbox\tools
    copying statsmodels\sandbox\tools\cross_val.py -> build\lib.win32-3.4\statsmodels\sandbox\tools
    copying statsmodels\sandbox\tools\mctools.py -> build\lib.win32-3.4\statsmodels\sandbox\tools
    copying statsmodels\sandbox\tools\tools_pca.py -> build\lib.win32-3.4\statsmodels\sandbox\tools
    copying statsmodels\sandbox\tools\try_mctools.py -> build\lib.win32-3.4\statsmodels\sandbox\tools
    copying statsmodels\sandbox\tools\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\tools
    creating build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\diffusion.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\diffusion2.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\example_arma.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\fftarma.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\garch.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\movstat.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\try_arma_more.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\try_fi.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\try_var_convolve.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\varma.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    copying statsmodels\sandbox\tsa\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\tsa
    creating build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\ex_extras.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\ex_fitfr.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\ex_gof.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\ex_mvelliptical.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\ex_transf2.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\matchdist.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    copying statsmodels\sandbox\distributions\examples\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\examples
    creating build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
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    copying statsmodels\sandbox\distributions\tests\distparams.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\testtransf.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\test_extras.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\test_multivariate.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\test_norm_expan.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\_est_fit.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    copying statsmodels\sandbox\distributions\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
    creating build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\ex_gam_am_new.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\ex_gam_new.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\ex_smoothers.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\test_kernel_extras.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\test_smoothers.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    copying statsmodels\sandbox\nonparametric\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\nonparametric\tests
    creating build\lib.win32-3.4\statsmodels\sandbox\panel\tests
    copying statsmodels\sandbox\panel\tests\test_random_panel.py -> build\lib.win32-3.4\statsmodels\sandbox\panel\tests
    copying statsmodels\sandbox\panel\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\panel\tests
    creating build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\results_gmm_griliches.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\results_gmm_griliches_iter.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\results_gmm_poisson.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\results_ivreg2_griliches.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\test_gmm.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\test_gmm_poisson.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    creating build\lib.win32-3.4\statsmodels\sandbox\stats\tests
    copying statsmodels\sandbox\stats\tests\__init__.py -> build\lib.win32-3.4\statsmodels\sandbox\stats\tests
    creating build\lib.win32-3.4\statsmodels\stats\libqsturng
    copying statsmodels\stats\libqsturng\make_tbls.py -> build\lib.win32-3.4\statsmodels\stats\libqsturng
    copying statsmodels\stats\libqsturng\qsturng_.py -> build\lib.win32-3.4\statsmodels\stats\libqsturng
    copying statsmodels\stats\libqsturng\__init__.py -> build\lib.win32-3.4\statsmodels\stats\libqsturng
    creating build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_anova.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_contingency_tables.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_contrast.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_corrpsd.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_descriptivestats.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_diagnostic.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_gof.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_groups_sw.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_inter_rater.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_mediation.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_moment_helpers.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_multi.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_nonparametric.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_pairwise.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_panel_robustcov.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_power.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_proportion.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_qsturng.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_sandwich.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_statstools.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_tost.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\test_weightstats.py -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\tests\__init__.py -> build\lib.win32-3.4\statsmodels\stats\tests
    creating build\lib.win32-3.4\statsmodels\stats\libqsturng\tests
    copying statsmodels\stats\libqsturng\tests\test_qsturng.py -> build\lib.win32-3.4\statsmodels\stats\libqsturng\tests
    copying statsmodels\stats\libqsturng\tests\__init__.py -> build\lib.win32-3.4\statsmodels\stats\libqsturng\tests
    creating build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\results_multinomial_proportions.py -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\results_panelrobust.py -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\results_power.py -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\results_proportion.py -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\stats\tests\results
    creating build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_catadd.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_data.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_eval_measures.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_grouputils.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_linalg.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_numdiff.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_parallel.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_rootfinding.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_tools.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_transform_model.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\test_web.py -> build\lib.win32-3.4\statsmodels\tools\tests
    copying statsmodels\tools\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tools\tests
    creating build\lib.win32-3.4\statsmodels\tsa\base
    copying statsmodels\tsa\base\datetools.py -> build\lib.win32-3.4\statsmodels\tsa\base
    copying statsmodels\tsa\base\tsa_model.py -> build\lib.win32-3.4\statsmodels\tsa\base
    copying statsmodels\tsa\base\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\base
    creating build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\api.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\bk_filter.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\cf_filter.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\filtertools.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\hp_filter.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\_utils.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    copying statsmodels\tsa\filters\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\filters
    creating build\lib.win32-3.4\statsmodels\tsa\interp
    copying statsmodels\tsa\interp\denton.py -> build\lib.win32-3.4\statsmodels\tsa\interp
    copying statsmodels\tsa\interp\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\interp
    creating build\lib.win32-3.4\statsmodels\tsa\kalmanf
    copying statsmodels\tsa\kalmanf\kalmanfilter.py -> build\lib.win32-3.4\statsmodels\tsa\kalmanf
    copying statsmodels\tsa\kalmanf\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\kalmanf
    creating build\lib.win32-3.4\statsmodels\tsa\regime_switching
    copying statsmodels\tsa\regime_switching\markov_autoregression.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching
    copying statsmodels\tsa\regime_switching\markov_regression.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching
    copying statsmodels\tsa\regime_switching\markov_switching.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching
    copying statsmodels\tsa\regime_switching\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching
    creating build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\api.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\dynamic_factor.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\kalman_filter.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\kalman_smoother.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\mlemodel.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\representation.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\sarimax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\structural.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\tools.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\varmax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    copying statsmodels\tsa\statespace\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\statespace
    creating build\lib.win32-3.4\statsmodels\tsa\tests
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    copying statsmodels\tsa\tests\test_ar.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_arima.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_arima_process.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_bds.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_seasonal.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_stattools.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_tsa_tools.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\test_x13.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    copying statsmodels\tsa\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\tests
    creating build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\api.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\dynamic.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\irf.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\output.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\plotting.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\svar_model.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\util.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\var_model.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    copying statsmodels\tsa\vector_ar\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar
    creating build\lib.win32-3.4\statsmodels\tsa\base\tests
    copying statsmodels\tsa\base\tests\test_base.py -> build\lib.win32-3.4\statsmodels\tsa\base\tests
    copying statsmodels\tsa\base\tests\test_datetools.py -> build\lib.win32-3.4\statsmodels\tsa\base\tests
    copying statsmodels\tsa\base\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\base\tests
    creating build\lib.win32-3.4\statsmodels\tsa\filters\tests
    copying statsmodels\tsa\filters\tests\test_filters.py -> build\lib.win32-3.4\statsmodels\tsa\filters\tests
    copying statsmodels\tsa\filters\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\filters\tests
    creating build\lib.win32-3.4\statsmodels\tsa\filters\tests\results
    copying statsmodels\tsa\filters\tests\results\filter_results.py -> build\lib.win32-3.4\statsmodels\tsa\filters\tests\results
    copying statsmodels\tsa\filters\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\filters\tests\results
    creating build\lib.win32-3.4\statsmodels\tsa\interp\tests
    copying statsmodels\tsa\interp\tests\test_denton.py -> build\lib.win32-3.4\statsmodels\tsa\interp\tests
    copying statsmodels\tsa\interp\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\interp\tests
    creating build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests
    copying statsmodels\tsa\regime_switching\tests\test_markov_autoregression.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests
    copying statsmodels\tsa\regime_switching\tests\test_markov_regression.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests
    copying statsmodels\tsa\regime_switching\tests\test_markov_switching.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests
    copying statsmodels\tsa\regime_switching\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests
    creating build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests\results
    copying statsmodels\tsa\regime_switching\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests\results
    creating build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_dynamic_factor.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_impulse_responses.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_kalman.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_mlemodel.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_options.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_prediction.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_representation.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_sarimax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_save.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_simulate.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_smoothing.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_structural.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_tools.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\test_varmax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    copying statsmodels\tsa\statespace\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests
    creating build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_dynamic_factor.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_kalman_filter.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_sarimax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_structural.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_varmax.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    creating build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima111nc_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima111nc_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima111_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima111_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima112nc_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima112nc_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima112_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima112_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima211nc_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima211nc_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima211_css_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima211_results.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\datamlw_tls.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\make_arma.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_ar.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arma.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_process.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\savedrvs.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    creating build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests
    copying statsmodels\tsa\vector_ar\tests\example_svar.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests
    copying statsmodels\tsa\vector_ar\tests\test_svar.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests
    copying statsmodels\tsa\vector_ar\tests\test_var.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests
    copying statsmodels\tsa\vector_ar\tests\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests
    creating build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\results_svar.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\results_svar_st.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\results_var.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\results_var_data.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\__init__.py -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    package init file 'statsmodels\tsa\vector_ar\data\__init__.py' not found (or not a regular file)
    copying statsmodels\datasets\anes96\anes96.csv -> build\lib.win32-3.4\statsmodels\datasets\anes96
    copying statsmodels\datasets\cancer\cancer.csv -> build\lib.win32-3.4\statsmodels\datasets\cancer
    copying statsmodels\datasets\ccard\ccard.csv -> build\lib.win32-3.4\statsmodels\datasets\ccard
    copying statsmodels\datasets\china_smoking\china_smoking.csv -> build\lib.win32-3.4\statsmodels\datasets\china_smoking
    copying statsmodels\datasets\co2\co2.csv -> build\lib.win32-3.4\statsmodels\datasets\co2
    copying statsmodels\datasets\committee\committee.csv -> build\lib.win32-3.4\statsmodels\datasets\committee
    copying statsmodels\datasets\copper\copper.csv -> build\lib.win32-3.4\statsmodels\datasets\copper
    copying statsmodels\datasets\cpunish\cpunish.csv -> build\lib.win32-3.4\statsmodels\datasets\cpunish
    copying statsmodels\datasets\elnino\elnino.csv -> build\lib.win32-3.4\statsmodels\datasets\elnino
    copying statsmodels\datasets\engel\engel.csv -> build\lib.win32-3.4\statsmodels\datasets\engel
    copying statsmodels\datasets\fair\fair.csv -> build\lib.win32-3.4\statsmodels\datasets\fair
    copying statsmodels\datasets\fertility\fertility.csv -> build\lib.win32-3.4\statsmodels\datasets\fertility
    copying statsmodels\datasets\grunfeld\grunfeld.csv -> build\lib.win32-3.4\statsmodels\datasets\grunfeld
    copying statsmodels\datasets\heart\heart.csv -> build\lib.win32-3.4\statsmodels\datasets\heart
    copying statsmodels\datasets\longley\longley.csv -> build\lib.win32-3.4\statsmodels\datasets\longley
    copying statsmodels\datasets\macrodata\macrodata.csv -> build\lib.win32-3.4\statsmodels\datasets\macrodata
    copying statsmodels\datasets\macrodata\macrodata.dta -> build\lib.win32-3.4\statsmodels\datasets\macrodata
    copying statsmodels\datasets\modechoice\modechoice.csv -> build\lib.win32-3.4\statsmodels\datasets\modechoice
    copying statsmodels\datasets\nile\nile.csv -> build\lib.win32-3.4\statsmodels\datasets\nile
    copying statsmodels\datasets\randhie\randhie.csv -> build\lib.win32-3.4\statsmodels\datasets\randhie
    copying statsmodels\datasets\scotland\scotvote.csv -> build\lib.win32-3.4\statsmodels\datasets\scotland
    copying statsmodels\datasets\spector\spector.csv -> build\lib.win32-3.4\statsmodels\datasets\spector
    copying statsmodels\datasets\stackloss\stackloss.csv -> build\lib.win32-3.4\statsmodels\datasets\stackloss
    copying statsmodels\datasets\star98\star98.csv -> build\lib.win32-3.4\statsmodels\datasets\star98
    copying statsmodels\datasets\statecrime\statecrime.csv -> build\lib.win32-3.4\statsmodels\datasets\statecrime
    copying statsmodels\datasets\strikes\strikes.csv -> build\lib.win32-3.4\statsmodels\datasets\strikes
    copying statsmodels\datasets\sunspots\sunspots.csv -> build\lib.win32-3.4\statsmodels\datasets\sunspots
    copying statsmodels\datasets\tests\raw.github.com,vincentarelbundock,Rdatasets,master,csv,car,Duncan.csv.zip -> build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\datasets\tests\raw.github.com,vincentarelbundock,Rdatasets,master,datasets.csv.zip -> build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\datasets\tests\raw.github.com,vincentarelbundock,Rdatasets,master,doc,car,rst,Duncan.rst.zip -> build\lib.win32-3.4\statsmodels\datasets\tests
    copying statsmodels\discrete\tests\results\mnlogit_resid.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\nbinom_resids.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\phat_mnlogit.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\poisson_resid.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\predict_prob_poisson.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\ships.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\yhat_mnlogit.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\yhat_poisson.csv -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\discrete\tests\results\mn_logit_summary.txt -> build\lib.win32-3.4\statsmodels\discrete\tests\results
    copying statsmodels\duration\tests\results\bmt.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\bmt_results.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\survival_data_1000_10.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\survival_data_100_5.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\survival_data_20_1.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\survival_data_50_1.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\duration\tests\results\survival_data_50_2.csv -> build\lib.win32-3.4\statsmodels\duration\tests\results
    copying statsmodels\genmod\tests\results\enet_binomial.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\enet_poisson.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\epil.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_linear_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_logistic_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_nested_linear_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_nominal_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_ordinal_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\gee_poisson_1.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\igaussident_resids.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\inv_gaussian.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\iris.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\medparlogresids.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\stata_cancer_glm.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\stata_lbw_glm.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\genmod\tests\results\stata_medpar1_glm.csv -> build\lib.win32-3.4\statsmodels\genmod\tests\results
    copying statsmodels\iolib\tests\results\data_missing.dta -> build\lib.win32-3.4\statsmodels\iolib\tests\results
    copying statsmodels\iolib\tests\results\time_series_examples.dta -> build\lib.win32-3.4\statsmodels\iolib\tests\results
    copying statsmodels\nonparametric\tests\results\results_kcde.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\results_kde.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\results_kde_fft.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\results_kde_univ_weights.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\results_kde_weights.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\results_kernel_regression.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\test_lowess_delta.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\test_lowess_frac.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\test_lowess_iter.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\nonparametric\tests\results\test_lowess_simple.csv -> build\lib.win32-3.4\statsmodels\nonparametric\tests\results
    copying statsmodels\regression\tests\results\lasso_data.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme00.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme01.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme02.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme03.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme04.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme05.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme06.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme07.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme08.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme09.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme10.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\lme11.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\pastes.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\results_rls_R.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\results_rls_stata.csv -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\regression\tests\results\leverage_influence_ols_nostars.txt -> build\lib.win32-3.4\statsmodels\regression\tests\results
    copying statsmodels\sandbox\regression\tests\griliches76.dta -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\sandbox\regression\tests\racd10data_with_transformed.csv -> build\lib.win32-3.4\statsmodels\sandbox\regression\tests
    copying statsmodels\stats\libqsturng\CH.r -> build\lib.win32-3.4\statsmodels\stats\libqsturng
    copying statsmodels\stats\libqsturng\LICENSE.txt -> build\lib.win32-3.4\statsmodels\stats\libqsturng
    copying statsmodels\stats\tests\test_data.txt -> build\lib.win32-3.4\statsmodels\stats\tests
    copying statsmodels\stats\libqsturng\tests\bootleg.dat -> build\lib.win32-3.4\statsmodels\stats\libqsturng\tests
    copying statsmodels\stats\tests\results\bootleg.csv -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\contingency_table_r_results.csv -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\framing.csv -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\influence_measures_bool_R.csv -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\influence_measures_R.csv -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\stats\tests\results\influence_lsdiag_R.json -> build\lib.win32-3.4\statsmodels\stats\tests\results
    copying statsmodels\tsa\regime_switching\tests\results\mar_filardo.csv -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests\results
    copying statsmodels\tsa\regime_switching\tests\results\results_predict_fedfunds.csv -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests\results
    copying statsmodels\tsa\regime_switching\tests\results\results_predict_rgnp.csv -> build\lib.win32-3.4\statsmodels\tsa\regime_switching\tests\results
    copying statsmodels\tsa\statespace\tests\results\clark1989.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_clark1989_R.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_dynamic_factor_stata.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_realgdpar_stata.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_sarimax_coverage.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_smoothing_R.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_varmax_stata.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_var_stata.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_wpi1_ar3_matlab_ssm.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_wpi1_ar3_regression.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_wpi1_ar3_stata.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_wpi1_missing_ar3_matlab_ssm.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\results_wpi1_missing_ar3_regression.csv -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\statespace\tests\results\manufac.dta -> build\lib.win32-3.4\statsmodels\tsa\statespace\tests\results
    copying statsmodels\tsa\tests\results\arima111_forecasts.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\arima212_forecast.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\ARMLEConstantPredict.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\AROLSConstantPredict.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\AROLSNoConstantPredict.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\bds_data.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\bds_results.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\resids_css_c.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\resids_css_nc.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\resids_exact_c.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\resids_exact_nc.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_exog_forecasts_css.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_exog_forecasts_mle.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_forecasts.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_forecasts_all_css.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_forecasts_all_css_diff.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_forecasts_all_mle.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arima_forecasts_all_mle_diff.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_arma_forecasts.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_ar_forecast_mle_dynamic.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\results_corrgram.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\yhat_css_c.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\yhat_css_nc.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\yhat_exact_c.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\yhat_exact_nc.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\tests\results\y_arma_data.csv -> build\lib.win32-3.4\statsmodels\tsa\tests\results
    copying statsmodels\tsa\vector_ar\tests\results\vars_results.npz -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\tests\results
    creating build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e1.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e2.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e3.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e4.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e5.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    copying statsmodels\tsa\vector_ar\data\e6.dat -> build\lib.win32-3.4\statsmodels\tsa\vector_ar\data
    running build_ext
    building 'statsmodels.tsa.regime_switching._hamilton_filter' extension
    **error: INCLUDE environment variable is empty**
    
    ----------------------------------------
Command "C:\Users\Alireza\AppData\Local\Orange\Scripts\python.exe -u -c "import setuptools, tokenize;__file__='C:\\Users\\Alireza\\AppData\\Local\\Temp\\pip-build-lybsqx1l\\statsmodels\\setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record C:\Users\Alireza\AppData\Local\Temp\pip-6egdiyom-record\install-record.txt --single-version-externally-managed --compile --install-headers C:\Users\Alireza\AppData\Local\Orange\include\site\python3.4\statsmodels" failed with error code 1 in C:\Users\Alireza\AppData\Local\Temp\pip-build-lybsqx1l\statsmodels\
`

periodogram: zero-size array to reduction op. minimum which has no identity

https://sentry.io/biolab/orange3-timeseries/issues/497532942/

ValueError:  zero-size array to reduction operation minimum which has no identity

  Module "orangecontrib.timeseries.functions", line 64, in _significant_periods

    pgram = (pgram - pgram.min()) / pgram.ptp()

Line Chart: show displayed attrs in saved image

Is there a chance to add attribute names to saved images from Line Chart? Now only a visualization is saved where the user has no idea what is displayed and which color is which attribute. Could be solved with a legend that would be useful in any case (perhaps below the chart)?

Line Chart Crashes

Line chart crashes as soon as widget is dragged into Orange canvas

Exception: AttributeError: 'PlotConfigWidget' object has no attribute 'controlled_attributes'
Module:
Orange.widgets.gui:158
Widget Name:
Line Chart
Widget Module:
orangecontrib.timeseries.widgets.owlinechart:348
Widget Scheme:
/tmp/ows-dcfw_s0t.ows.xml
Version:
3.3.12
Environment:
Python 3.6.0 on Linux 4.4.0-64-generic #85-Ubuntu SMP Mon Feb 20 11:50:30 UTC 2017 x86_64
Installed Packages:
AnyQt==0.0.8, Bottleneck==1.2.0, Genesis-PyAPI==1.2.0, Orange-Bioinformatics==2.6.20, Orange3-Timeseries==0.2.6, Orange3==3.3.12, SecretStorage==2.3.1, cffi==1.9.1, chardet==2.3.0, conda==4.2.13, cryptography==1.7.1, dill==0.2.6, docutils==0.13.1, idna==2.2, joblib==0.10.3, keyring==10.3, keyrings.alt==2.0, numpy==1.12.0, pandas==0.19.2, patsy==0.4.1, pip==9.0.1, pyOpenSSL==16.2.0, pyasn1==0.1.9, pycosat==0.6.1, pycparser==2.17, pyqtgraph==0.10.0, python-dateutil==2.6.0, pytz==2016.10, requests-cache==0.4.13, requests==2.12.4, scikit-learn==0.18.1, scipy==0.18.1, serverfiles==0.2, setuptools==27.2.0, six==1.10.0, slumber==0.7.1, statsmodels==0.8.0, wheel==0.29.0, xlrd==1.0.0
Machine ID:
203178706247068
Stack Trace:
Traceback (most recent call last):
File "/home/erskina/miniconda3/lib/python3.6/site-packages/orangecontrib/timeseries/widgets/owlinechart.py", line 348, in add_plot
config = PlotConfigWidget(self, ax, self.varmodel)
File "/home/erskina/miniconda3/lib/python3.6/site-packages/orangecontrib/timeseries/widgets/owlinechart.py", line 46, in init
callback=lambda: self.sigType.emit(ax, self.plot_type))
File "/home/erskina/miniconda3/lib/python3.6/site-packages/Orange/widgets/gui.py", line 1648, in comboBox
ValueCallbackCombo(master, value, valueType, emptyString))
File "/home/erskina/miniconda3/lib/python3.6/site-packages/Orange/widgets/gui.py", line 2127, in connectControl
master.connect_control(value, cfront)
File "/home/erskina/miniconda3/lib/python3.6/site-packages/Orange/widgets/gui.py", line 158, in connect_control
self.controlled_attributes[name].append(func)
AttributeError: 'PlotConfigWidget' object has no attribute 'controlled_attributes'

Local Variables:
OrderedDict([('func',
<Orange.widgets.gui.CallFrontComboBox object at 0x7fb37a455c50>),
('name', 'plot_type'),
('self',
<orangecontrib.timeseries.widgets.owlinechart.PlotConfigWidget object at 0x7fb37a44f438>)])

Orange Timeseries Error Opening Line Chart Widget

Hi,

Could anyone assist with the Orange Timeseries Chart Widget Error below? When I double-click on the widget the error pop up as below.

Many thanks.

-------------------------- AttributeError Exception ---------------------------
Traceback (most recent call last):
File "/Applications/Orange3.app/Contents/Frameworks/Python.framework/Versions/3.4/lib/python3.4/site-packages/orangecontrib/timeseries/widgets/owlinechart.py", line 66, in enterEvent
self.button_close.setVisible(True)
AttributeError: 'PlotConfigWidget' object has no attribute 'button_close'

Y Axis Scales and Graph Mix

ails in the
sections below.
-->

Timeseries version

0.3.5

Orange version

3.24.1

Expected behavior

Actual behavior

Steps to reproduce the behavior

Using Air Passenger data and Seasonal Adjustment workflow example

Additional info (worksheets, data, screenshots, ...)

'PlotConfigWidget' object has no attribute 'button_close'

Interpolation crashes on all-NaN columns

Example dataset that crashes anything that requires interpolation: https://gist.github.com/zidarsk8/7fc04e849e2747b6901b5bf32755a84d

Line Chart: Add plot overlaps

Timeseries version

0.3.3

Orange version

3.10.dev

Expected behavior

Add plot displays plot below the existing one.

Actual behavior

Plots overlap.

Steps to reproduce the behavior

Plot two variables in the same graph with Add plot.

Additional info (worksheets, data, screenshots, ...)

Line Chart Widget Missing

I noticed that I seem to be missing the a couple widgets such as line chart, Correlogram, Periodogram.

I currently have Timeseries version 0.3.6 with Orange version 3.25

Steps to reproduce the behavior

I am new to orange and I installed orange following the instructions on its Readme for installing with pip. I install timeseries with the 'from source' instructions. I have also tried installing timeseries with pip but ran into the same issue. I did not noticed any errors during the installation.

Additional info (worksheets, data, screenshots, ...)

Yahoo Finance widget fails to download the data

Hi, Yahoo Finance widget fails to download the data no matter what the symbol or date you pick: " failed to download data (HTTP Error -1). Wrong ..."

Time Slice: crashes with missing values

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

Time Slice works.

Actual behavior

Time Slice crashes with two different errors when data has missing values.

Steps to reproduce the behavior

1. Without As Timeseries.

----------------------------- TypeError Exception -----------------------------
Traceback (most recent call last):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 936, in __process_next
    if self.__process_next_helper(use_max_active=True):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 974, in __process_next_helper
    self.process_node(selected_node)
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 605, in process_node
    self.send_to_node(node, signals_in)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 792, in send_to_node
    self.process_signals_for_widget(node, widget, signals)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 826, in process_signals_for_widget
    handler(*args)
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtimeslice.py", line 409, in set_data
    maximum = round(range / delta)
TypeError: type datetime.timedelta doesn't define __round__ method

2. With As Timeseries.

------------------------- ZeroDivisionError Exception -------------------------
Traceback (most recent call last):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 936, in __process_next
    if self.__process_next_helper(use_max_active=True):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 974, in __process_next_helper
    self.process_node(selected_node)
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 605, in process_node
    self.send_to_node(node, signals_in)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 792, in send_to_node
    self.process_signals_for_widget(node, widget, signals)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 826, in process_signals_for_widget
    handler(*args)
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtimeslice.py", line 409, in set_data
    maximum = round(range / delta)
ZeroDivisionError: integer division or modulo by zero
-------------------------------------------------------------------------------

Additional info (worksheets, data, screenshots, ...)

Line Chart missing outputs

Timeseries version

Orange3-Timeseries 0.3.6

Orange version

Orange3 3.25.0

On Windows 10 64 Bit

Expected behavior

Expect to see High (Forecast), High (Forecast; 95% CI Lower), & High (Forecast; 95% CI Upper) label with their respective line graphs

Actual behavior

Only get High (Forecast) & High (Forecast; 95% CI) in label with line graphs for High (Forecast) & High (Forecast; 95% CI). High (Forecast; 95% CI) represents the Lower 95%.

Steps to reproduce the behavior

Construct Example as shown, check out Line Chart for "High" and for other variables

Additional info (worksheets, data, screenshots, ...)

Line chart pan and zoom

Timeseries version

0.3.3

Orange version

3.11.0

Expected behavior

Older versions allowed panning and zooming

Actual behavior

The UI for pan and zoom appears to have been removed

Steps to reproduce the behavior

Use line charts in latest version.

Additional info (worksheets, data, screenshots, ...)

Moving Transform: fix PyTable

Moving Transform has several issues.

1. It starts with a table with 3 redundant columns (4, 5, 6).

2. Try to sort by Aggregation function. Then Add Transform. Widget crashes with:
   File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owmovingtransform.py", line 169, in on_add_transform    self.table_model.append([self.var_model[0], self.last_win_width, AGG_FUNCTIONS[0]])  File "/Users/ajda/orange/orange3/Orange/widgets/utils/itemmodels.py", line 331, in append    self.extend([row])  File "/Users/ajda/orange/orange3/Orange/widgets/utils/itemmodels.py", line 342, in extend    self[i:] = rows  File "/Users/ajda/orange/orange3/Orange/widgets/utils/itemmodels.py", line 279, in __setitem__    self._check_sort_order()  File "/Users/ajda/orange/orange3/Orange/widgets/utils/itemmodels.py", line 309, in _check_sort_order    raise RuntimeError("Can't modify PyTableModel when it's sorted")RuntimeError: Can't modify PyTableModel when it's sorted

Occasionally, Python also segfaults. Anyhow, widget is then caught in an infinite loop of errors.

3. Widget could be 'Orangized' a bit. Double-clicking to edit is not implemented in other Orange widgets. I would prefer to solve this similar to Select Rows. And not have the table sortable.

As Timeseries: make it work with sparse matrices

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

As Timeseries can work with sparse matrices.

Actual behavior

As Timeseries crashes.

Steps to reproduce the behavior

Corpus - Bag of Words - As Timeseries.

Additional info (worksheets, data, screenshots, ...)

From attribute:

-------------------------- AttributeError Exception ---------------------------
Traceback (most recent call last):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 936, in __process_next
    if self.__process_next_helper(use_max_active=True):
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 974, in __process_next_helper
    self.process_node(selected_node)
  File "/Users/ajda/orange/orange-canvas-core/orangecanvas/scheme/signalmanager.py", line 605, in process_node
    self.send_to_node(node, signals_in)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 792, in send_to_node
    self.process_signals_for_widget(node, widget, signals)
  File "/Users/ajda/orange/orange-widget-base/orangewidget/workflow/widgetsscheme.py", line 826, in process_signals_for_widget
    handler(*args)
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtabletotimeseries.py", line 75, in set_data
    self.on_changed()
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtabletotimeseries.py", line 78, in on_changed
    self.commit()
  File "/Users/ajda/orange/orange-widget-base/orangewidget/gui.py", line 1586, in unconditional_commit
    do_commit()
  File "/Users/ajda/orange/orange-widget-base/orangewidget/gui.py", line 1594, in do_commit
    commit()
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtabletotimeseries.py", line 94, in commit
    values = Table.from_table(Domain([], [], [time_var]),
  File "/Users/ajda/opt/miniconda3/envs/o3/lib/python3.8/site-packages/scipy/sparse/base.py", line 691, in __getattr__
    raise AttributeError(attr + " not found")
AttributeError: ravel not found

From sequence:

---------------------------- ValueError Exception -----------------------------
Traceback (most recent call last):
  File "/Users/ajda/orange/orange-widget-base/orangewidget/gui.py", line 1810, in __call__
    self.func(**kwds)
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtabletotimeseries.py", line 78, in on_changed
    self.commit()
  File "/Users/ajda/orange/orange-widget-base/orangewidget/gui.py", line 1586, in unconditional_commit
    do_commit()
  File "/Users/ajda/orange/orange-widget-base/orangewidget/gui.py", line 1594, in do_commit
    commit()
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/widgets/owtabletotimeseries.py", line 88, in commit
    ts = Timeseries.make_timeseries_from_sequence(data)
  File "/Users/ajda/orange/orange3-timeseries/orangecontrib/timeseries/timeseries.py", line 169, in make_timeseries_from_sequence
    X = np.column_stack((np.arange(1, len(table) + 1), X))
  File "<__array_function__ internals>", line 5, in column_stack
  File "/Users/ajda/opt/miniconda3/envs/o3/lib/python3.8/site-packages/numpy/lib/shape_base.py", line 656, in column_stack
    return _nx.concatenate(arrays, 1)
  File "<__array_function__ internals>", line 5, in concatenate
ValueError: all the input array dimensions for the concatenation axis must match exactly, but along dimension 0, the array at index 0 has size 463 and the array at index 1 has size 1
-------------------------------------------------------------------------------

Datasets link is broken

When installing the addon through Orange, a link is created in my Orange/datasets dir pointing to /tmp/pip-build-1xqxeaa8/Orange3-Timeseries/orangecontrib/timeseries/datasets
I am not sure I would like this add-on creating a link somewhere on my computer in any case (even if the link would actually point to something that exists).

Time series add-on installation fails

(transferred from biolab/orange3)

Orange version

3.3.6 (git revision ee294bc) on OSX 10.11 and Windows 10

Expected behaviour

The time series add-on should install without problems via the Options -> Add-on -> Orange3-Timeseries -> Install

Actual behaviour

An error is given (see attached files) both on Windows and OSX

Steps to reproduce the behavior

(see expected behaviour)

Additional info (worksheets, data, screenshots, ...)

Orange3-Timeseries_Error_Msg_Win_10.txt

Orange3-Timeseries_Error_Msg_OSX_11.11.txt

ImportError: cannot import name 'is_list_like'

Timeseries version: 0.33

Orange version: 3.16.0

Expected behavior

Orange3 should start without error when timeseries plugin is enabled.

Actual behavior

When starting Orange3 with the timeseries plugin enabled, the following error occurs:

Error while importing 'orangecontrib.timeseries.widgets.owyahoofinance'. The widget will not be shown.
Traceback (most recent call last):
File ".../lib/python3.6/site-packages/Orange/canvas/registry/discovery.py", line 261, in iter_widget_descriptions
module = asmodule(name)
File ".../lib/python3.6/site-packages/Orange/canvas/registry/discovery.py", line 491, in asmodule
return __import__(module, fromlist=[""])
File ".../lib/python3.6/site-packages/orangecontrib/timeseries/widgets/owyahoofinance.py", line 10, in 
from orangecontrib.timeseries.datasources import finance_data
File ".../lib/python3.6/site-packages/orangecontrib/timeseries/datasources.py", line 4, in 
import pandas_datareader.data as web
File ".../lib/python3.6/site-packages/pandas_datareader/__init__.py", line 2, in 
from .data import (DataReader, Options, get_components_yahoo,
File ".../lib/python3.6/site-packages/pandas_datareader/data.py", line 14, in 
from pandas_datareader.fred import FredReader
File ".../lib/python3.6/site-packages/pandas_datareader/fred.py", line 1, in 
from pandas.core.common import is_list_like
ImportError: cannot import name 'is_list_like'

Steps to reproduce the behavior

1. install the latest version of pandas
2. install the latest version of Orange3
3. install the timeseries plugin
4. restart Orange3

[Feature Request] Line Chart: Split by Group

Implement 'Group by' option as found in Distributions. This allows the user to view line chart per each, say, class value individually on the same plot.
Very handy! 👌

Line Chart does not have context settings

See biolab/orange3#4697.

Line Chart has only a setting attrs, which is not even used in the widget.

The widget is written using javascript and highcharts. It probably has to be rewritten from scratch.

Spiralogram: revert date order

Perhaps it would make sense to see data in a spiralogram in a reverse order. That is the newest dates on the outer rim and the oldest on the inner. Now I see the oldest date on the outer. Not sure whether the positioning is random or not.

Line Chart: fix attribute selection on OSX

Issue

This is so annoying, I can't stand it anymore.
On OSX, when selecting an attribute to display in a Line Chart, selection doesn't stop with a click. So when I move my mouse around, it is selecting all other attributes I happen to pass with the cursor. Extremely problematic for larger files (things get stuck).

Does not happen on Windows, so I reckon it's a Mac thing.

Expected behaviour

When I click on an attribute, it is the only one selected, regardless of my mouse movement.
To select multiple attributes, only Shift and Ctrl/Cmd should work (or perhaps even click and drag, but that is optional).

I tried searching for a solution - no success so far.

Incompatible scipy 1.3.0 and statsmodels 0.9

Due to incompatibility of scipy 1.3.0 and statsmodels 0.9, the Timeseries add-on fails to import if the wrong two versions are installed.

statsmodels/statsmodels#5759

This is just a reminder to fix the statsmodels version once they make a release, which is due in June. The instant workaround:

pip install --upgrade Cython
pip install --upgrade git+https://github.com/statsmodels/statsmodels

fromtimestamp: unsupported type for timedelta days component: numpy.int32

https://sentry.io/biolab/orange3-timeseries/issues/495616266/

TypeError:  unsupported type for timedelta days component: numpy.int32

  Module "orangecontrib.timeseries.functions", line 651, in fromtimestamp

    dt = datetime.datetime.fromtimestamp(ts + k * SECONDS) - timedelta(days=k * DAYS)

Interpolate: default output to Interpolated Time Series

Interpolate has strange default output in my opinion. It should be Interpolated Time Series. Why else would one use this widget if not to output interpolated series? The unchanged TS can of course remain, but should likely not be the default.

As Timeseries with time variable in metas

Is there a special reason why As Timeseries widget does not allow me to select time variables that are in metas?

If I move the variable to features, I can select it and everything works, but I need a separate Select Columns widget to do that.

Line Chart: missing values from logarithm

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

Line Chart plots sequences as they are.

Actual behavior

Line Chart doesn't plot sequences with zero values correctly, once they are log transformed.

Steps to reproduce the behavior

Line Chart with a time series that includes 0. (Usually can get them from Difference widget.)
Observe the differences line chart. It is full.
Check Logarithmic axis.
Chart has missing values where the value is 0.
Now uncheck the Logarithmic axis.
Chart still has missing values, despite the Log being unchecked!

Additional info (worksheets, data, screenshots, ...)

Replace Highcharts with fully open-source charting library

Timeseries version

0.3.3

Orange version

3.14.0

Idea

Replace Highcharts with a fully OS alternative. A large discussion was opened in biolab/orange3#2044. Check it for ideas.

Difference widget loses selected column names after upstream change or saving and reopening workflow file

Timeseries version

0.3.3

Orange version

3.23.1

Expected behavior

After upstream changes in the workflow, the Difference widget should check if the selected columns still exist, and keep those selected columns that are still available.
After saving and reopening the .ows file, the Difference widget should check if the selected columns still exist, and keep those selected columns that are still available.

Actual behavior

After upstream changes in the workflow, the Difference widget forgets which columns were selected. These have to be manually reselected.
After saving and reopening the .ows file, the Difference widget forgets which columns were selected. These have to be manually reselected.

This is annoying: the whole point of having and saving a workflow is, that it can be reused without having to redefine parts of it.

Steps to reproduce the behavior

Select columns to be differentiated in the Difference widget, then make upstream changes to the workflow. Re-check the selection in the Difference widget.
Select columns to be differentiated in the Difference widget, then save the workflow file and re-open it. Re-check the selection in the Difference widget.

As Timeseries: remove _seq_ column, use indices instead

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

As Timeseries doesn't produce new columns, it just assigns roles to columns.

Actual behavior

Using sequence order in As Timeseries adds new column.

Steps to reproduce the behavior

Use As Timeseries with Sequence is implied by instance order.

Compare labeled data in Line Chart

Hi, i have the following problem.

My database looks like this:

Name	Date	Value
Region A	01/01/2011	1
Region A	02/01/2011	5
Region A	03/01/2011	10
Region B	01/01/2011	15
Region B	02/01/2011	50
Region B	03/01/2011	2

I want to compare Region A and Region B charts, but Orange shows all data grouped in one single chart.
Is it possible ?

Thank you !

Line Chart: bug in visualization

No visualization when Logarithmic axis ticked, unless 'columns' chosen as a display option. But the user has to re-select columns when ticking the log option to see the visualization.

TimeSlice is blank when import CSV

Timeseries version

0.3.6

Orange version

3.25.0

Expected behavior

I was expecting to view my data in a data table while being able to select a date and time, however the TimeSlice is blank as if there is no data.

Actual behavior

Just a blank TimeSlice which means blank Data Table, no errors occur in Orange, I am tried it with another dataset of mine (with the same datetime string format) and it still fails.

Steps to reproduce the behavior

Import a CSV, add a time slice and add a Data Table. (maybe have the same datetime string format)

My structure:

Additional info (worksheets, data, screenshots, ...)

This is the format of my datetime string:

Line Chart: continuous X axis labels

When converting Table with As Timeseries and selecting Time column as sequential attribute
the x axis labels on Line Chart do not correspond to time points as specified in Time - they are numbered 0 to N-1.

Timeseries version

0.3.3

Orange version

3.24

Seasonal Adjustment error

I receive this error when trying to set Seasonal Adjustment to 12 for Air Passenger dataset.

Line Chart: show instance count

Timeseries version

0.3.2

Orange version

3.10.dev

Expected behavior

One can see and inspect occurrences of a phenomenon in Line Chart.

Actual behavior

It is nearly impossible to see how many instances occurred in a certain time frame.

Steps to reproduce the behavior

Additional info (worksheets, data, screenshots, ...)

Often one would like to see, for example, when a certain phenomenon took place. This is very very difficult with Timeseries.
One option is to add 1 to each instance with Feature Constructor, use Aggregate, but still Line Chart optimizes projection and one won't see 'missing data'/absence of a phenomenon.

1. Add option to Line Chart to see an unoptimized plot (with equal width dates).
2. Have Line Chart perhaps show instance count as a default (upon opening it).

In the image below, for example, I want to see that there were no occurrences on the 21st of January. One does not notice this due to optimization.

Timestamp and datetime conversions may crash on Windows

Similar to biolab/orange3#2828 .

Timeseries version

Since datetime.fromtimestamp and dt.timestamp() where dt is datetime is used.

Expected behavior

Function works on any platform.

Actual behavior

• datetime.fromtimestamp(ts) where ts < 0: OSError
• dt.timestamp() where dt.year < 1970: OverflowError

Steps to reproduce the behavior

Additional info (worksheets, data, screenshots, ...)

OverflowError: https://sentry.io/biolab/orange3-timeseries/issues/428467601/
OSError: https://sentry.io/biolab/orange3-timeseries/issues/393933243/

Line Chart not working?

[Orange version 3.4.1, same in earlier versions I've tried too]

Expect to get line graph plotted by 'Line Chart' when inputing time series data from 'As Timeseries' into 'Line Chart' (in 'Time Series' add-on)

On opening Line Chart, I see my two column headings 'temperature' and 'activity' inside the left hand side box under the 'Logarithmic axis', but I get a large empty box on the right hand side where I would expect a plot. Can you help? Is this just me or is there a problem with 'Line Chart'?

Many thanks for help!

Time Slice: selection of inexisting dates

Timeseries version

0.3.6

Orange version

3.26.0.dev

Expected behavior

Time Slice always outputs data and allows outputting only existing data series.

Actual behavior

Time Slice enables me to select inexisting date time, which is evidently a day before the actual data (say my data starts with 2020-02-02, date option below enables me to select 2020-02-01, which is not in my data). When I select this inexisting date and set it to a single day, no subset will be on the output, for obvious reason (no such data exists). But if I press the play button, the first date (FROM) will start changing, while the second (TO) will stay the same and Time Slice will never output anything.

Also, pause button is not rendered nicely on MacOS.

Steps to reproduce the behavior

Yahoo Finance - Time Slice - Data Table.
In Time Slice, use calendar view to set 2015-04-21 as the starting date. Notice that the starting date for Yahoo Finance is 2015-04-22. Press play and observe the output.

Additional info (worksheets, data, screenshots, ...)

Aggregation widget loses aggregation function settings when reloading inputs from file

Timeseries version

0.3.3

Orange version

3.23.13

Expected behavior

When reloading a file that is input to the Aggregation widget, settings of aggregation functions from before reloading are retained

Actual behavior

When reloading a file that is input to the Aggregation widget, all aggregation functions in the widget are reset to "Mean" (or "Mode" for categorical attributes ).
This is annoying, since the whole point of having a workflow is that you can reuse it when the input data has changed, without having to redefine parts of it.

Steps to reproduce the behavior

Connect a File widget as input to the Aggregate widget. Select a file with numerical attributes, and, in the Aggregate widget, set some of their aggregation functions to "Sum". Go back to the File widget, press the Reload button (which is typically used if the contents of the file have changed, but that isn't necessary). Now, check out the Aggregate widget, and find that all the aggregation functions that were set to "Sum" have been reset to "mean".

seasonal adjustment error

please fix the same trying to run seasonal adjustment widget on a time series dataset

Aggregate: fix datetime handling

Timeseries version

0.3.2

Orange version

3.8.dev

Expected behavior

Aggregate by day aggregates from 00:00 to 23:59 of each day in the data set.

Actual behavior

Aggregation is incorrect - it considers instances from 2 hours before midnight until 22:00 of the wanted day. Potentially a timezone issue.

Steps to reproduce the behavior

File (set Example as continuous) - As Timeseries - Aggregate (by day, sum) - Data Table.

Additional info (worksheets, data, screenshots, ...)

https://docs.google.com/spreadsheets/d/1wblEsHSfCFGBKZmG-fDaiFNBLDK7cTGKKKAzH3xiO6E/edit?usp=sharing

Expected:

Date	Example
2017-11-11	3
2017-11-12	2
2017-11-13	4

Acutal:

Date	Example
2017-11-10	2
2017-11-11	2
2017-11-12	5
2017-11-13	0

With or without an As Timeseries widget, the transformation to timeseries should behave the same way

Connecting a Data output to a Time series input is allowed, but just shows a horizontal line.

Time series widgets should infer that 'As Timeseries' was supposed to be added in between, and try to use the first datetime feature as the sequential attribute, or instance ordering if there's no datetime feature.

Line Chart crashes

Line Chart is now useless, crashes with several errors.

AttributeError Exception
Traceback (most recent call last):
File "c:\orange\orange3-timeseries\orangecontrib\timeseries\widgets\owlinechart.py", line 348, in add_plot
config = PlotConfigWidget(self, ax, self.varmodel)
File "c:\orange\orange3-timeseries\orangecontrib\timeseries\widgets\owlinechart.py", line 46, in init
callback=lambda: self.sigType.emit(ax, self.plot_type))
File "c:\orange\orange3\Orange\widgets\gui.py", line 1631, in comboBox
ValueCallbackCombo(master, value, valueType, emptyString))
File "c:\orange\orange3\Orange\widgets\gui.py", line 2107, in connectControl
master.connect_control(value, cfront)
AttributeError: 'PlotConfigWidget' object has no attribute 'connect_control'

AttributeError Exception
Traceback (most recent call last):
File "c:\orange\orange3-timeseries\orangecontrib\timeseries\widgets\owlinechart.py", line 66, in enterEvent
self.button_close.setVisible(True)
AttributeError: 'PlotConfigWidget' object has no attribute 'button_close'

AttributeError Exception
Traceback (most recent call last):
File "c:\orange\orange3-timeseries\orangecontrib\timeseries\widgets\owlinechart.py", line 68, in leaveEvent
self.button_close.setVisible(False)
AttributeError: 'PlotConfigWidget' object has no attribute 'button_close'

Traceback (most recent call last):
File "c:\orange\orange3-timeseries\orangecontrib\timeseries\widgets\owlinechart.py", line 68, in leaveEvent
self.button_close.setVisible(False)
AttributeError: 'PlotConfigWidget' object has no attribute 'button_close'

Orange3-Timeseries does not install (Windows 10)

Timeseries does not install.
Orange3.3.8 Windows10.
Two remarks on failing to create wheel (for Orange3-Timeries and for statsmodels).
And at the end: