Comments (2)
take
-i "pandas.api.extensions.ExtensionArray SA01" \
-i "pandas.api.extensions.ExtensionArray._accumulate RT03,SA01" \
-i "pandas.api.extensions.ExtensionArray._concat_same_type PR07,SA01" \
-i "pandas.api.extensions.ExtensionArray._formatter SA01" \
-i "pandas.api.extensions.ExtensionArray._from_sequence SA01" \
from pandas.
working on
-i "pandas.api.extensions.register_extension_dtype SA01" \
from pandas.
Related Issues (20)
- DOC: Enhance the docstrings to provide more detailed explanations for the functions and their parameters in Common.py HOT 3
- Reduce redundancy: Common.py HOT 1
- ENH: add `atol`, `rtol` and `check_exact` to the Object.compare() method HOT 1
- BUG: Warning when compiling pandas/_libs/algos.c HOT 1
- BUG: to_excel() cuts off list of values when creating Excel file HOT 4
- BUG: matplotlib 3.9.0 has issue with pandas when using `subplots=True` on `df.plot.scatter()` HOT 1
- BUG: pandas read_xml with iterparse and stylesheets silently ignores stylesheets
- BUG: Inconsistent types for groupby group names HOT 2
- BUG: to_datetime behaves differently depending of the format of the string provided HOT 3
- BUG: pandas.errors.LossySetitemError when backtesting Freqtrade HOT 1
- BUG: from_dict() hidden (correct) behavior not aligned with documentation and typing: accepts and processes lists of dicts HOT 2
- ENH: Flip order of bar chart bars for multi-column data HOT 8
- Test Suite: Expand Test Coverage for `script\tests\test_inconsistent_namespace.py HOT 2
- BUG: pandas.read_json casts float column to int HOT 11
- BUG: pyarrow dtype_backend incorrectly loads columns (from parquet) when the data stored is a list of structs and one of the struct fields has only None/null values HOT 2
- BUG: Rolling .apply() with method='table' ignores min_periods HOT 2
- BUG: Unexpected cast to float for `DataFrame.groupby().agg(engine="numba")` HOT 1
- ENH: skiprows after header in read_csv HOT 1
- BUG: Pandas Styler HTML not rendering properly HOT 4
- ENH: Support for semi-join on index (subsetting a multi-index dataframe with a subset of the multi-index) HOT 5
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from pandas.