biolab / orange3-timeseries Goto Github PK
View Code? Open in Web Editor NEW🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
License: Other
🍊 :chart_with_upwards_trend: Orange add-on for analyzing, visualizing, manipulating, and forecasting time series data.
License: Other
0.3.3
3.23.1
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.
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.
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.
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
copying statsmodels\sandbox\distributions\tests\check_moments.py -> build\lib.win32-3.4\statsmodels\sandbox\distributions\tests
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
copying statsmodels\tsa\tests\test_adfuller_lag.py -> build\lib.win32-3.4\statsmodels\tsa\tests
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\
`
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)
0.3.2
3.10.dev
One can see and inspect occurrences of a phenomenon in Line Chart.
It is nearly impossible to see how many instances occurred in a certain time frame.
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.
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.
0.3.6
3.26.0.dev
Time Slice works.
Time Slice crashes with two different errors when data has missing values.
----------------------------- 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
------------------------- 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
-------------------------------------------------------------------------------
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.
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.
Example dataset that crashes anything that requires interpolation: https://gist.github.com/zidarsk8/7fc04e849e2747b6901b5bf32755a84d
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
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.
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.
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.
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
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.
Orange3-Timeseries 0.3.6
Orange3 3.25.0
On Windows 10 64 Bit
Expect to see High (Forecast), High (Forecast; 95% CI Lower), & High (Forecast; 95% CI Upper) label with their respective line graphs
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%.
Construct Example as shown, check out Line Chart for "High" and for other variables
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.
0.3.6
3.25.0
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.
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.
Import a CSV, add a time slice and add a Data Table. (maybe have the same datetime string format)
Timeseries version: 0.33
Orange version: 3.16.0
Orange3 should start without error when timeseries plugin is enabled.
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'
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 !
0.3.3
3.23.13
When reloading a file that is input to the Aggregation widget, settings of aggregation functions from before reloading are retained
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.
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".
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).
0.3.6
3.26.0.dev
As Timeseries can work with sparse matrices.
As Timeseries crashes.
Corpus - Bag of Words - As Timeseries.
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
-------------------------------------------------------------------------------
0.3.6
3.26.0.dev
Line Chart plots sequences as they are.
Line Chart doesn't plot sequences with zero values correctly, once they are log transformed.
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!
$ 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
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! 👌
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.
0.3.6
3.26.0.dev
As Timeseries doesn't produce new columns, it just assigns roles to columns.
Using sequence order in As Timeseries adds new column.
Use As Timeseries with Sequence is implied by instance order.
(transferred from biolab/orange3)
3.3.6 (git revision ee294bc) on OSX 10.11 and Windows 10
The time series add-on should install without problems via the Options -> Add-on -> Orange3-Timeseries -> Install
An error is given (see attached files) both on Windows and OSX
(see expected behaviour)
Moving Transform has several issues.
It starts with a table with 3 redundant columns (4, 5, 6).
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.
0.3.6
3.26.0.dev
Time Slice always outputs data and allows outputting only existing data series.
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.
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.
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.
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'
0.3.3
3.11.0
Older versions allowed panning and zooming
The UI for pan and zoom appears to have been removed
Use line charts in latest version.
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)?
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()
0.3.6
3.26.0.dev
Line Chart updates variable list and keeps the selection when changing variable name.
Line Chart crashes.
Yahoo Finance - Edit Domain - Line Chart. Select a variable to show.
Change variable name in Edit Domain. Re-select the renamed variable.
---------------------------- 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 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>)])
Similar to biolab/orange3#2828 .
Since datetime.fromtimestamp
and dt.timestamp()
where dt
is datetime
is used.
Function works on any platform.
datetime.fromtimestamp(ts)
where ts < 0
: OSError
dt.timestamp()
where dt.year < 1970
: OverflowError
OverflowError
: https://sentry.io/biolab/orange3-timeseries/issues/428467601/
OSError
: https://sentry.io/biolab/orange3-timeseries/issues/393933243/
0.3.3
3.14.0
Replace Highcharts with a fully OS alternative. A large discussion was opened in biolab/orange3#2044. Check it for ideas.
0.3.6
3.26.0.dev
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).
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.
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 ..."
[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!
0.3.2
3.8.dev
Aggregate by day aggregates from 00:00 to 23:59 of each day in the data set.
Aggregation is incorrect - it considers instances from 2 hours before midnight until 22:00 of the wanted day. Potentially a timezone issue.
File (set Example as continuous) - As Timeseries - Aggregate (by day, sum) - Data Table.
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 |
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