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code_checks.sh
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#!/bin/bash
#
# Run checks related to code quality.
#
# This script is intended for both the CI and to check locally that code standards are
# respected. We run doctests here (currently some files only), and we
# validate formatting error in docstrings.
#
# Usage:
# $ ./ci/code_checks.sh # run all checks
# $ ./ci/code_checks.sh code # checks on imported code
# $ ./ci/code_checks.sh doctests # run doctests
# $ ./ci/code_checks.sh docstrings # validate docstring errors
# $ ./ci/code_checks.sh single-docs # check single-page docs build warning-free
# $ ./ci/code_checks.sh notebooks # check execution of documentation notebooks
set -uo pipefail
if [[ -v 1 ]]; then
CHECK=$1
else
# script will fail if it uses an unset variable (i.e. $1 is not provided)
CHECK=""
fi
[[ -z "$CHECK" || "$CHECK" == "code" || "$CHECK" == "doctests" || "$CHECK" == "docstrings" || "$CHECK" == "single-docs" || "$CHECK" == "notebooks" ]] || \
{ echo "Unknown command $1. Usage: $0 [code|doctests|docstrings|single-docs|notebooks]"; exit 9999; }
BASE_DIR="$(dirname $0)/.."
RET=0
### CODE ###
if [[ -z "$CHECK" || "$CHECK" == "code" ]]; then
MSG='Check import. No warnings, and blocklist some optional dependencies' ; echo $MSG
python -W error -c "
import sys
import pandas
blocklist = {'bs4', 'gcsfs', 'html5lib', 'http', 'ipython', 'jinja2', 'hypothesis',
'lxml', 'matplotlib', 'openpyxl', 'py', 'pytest', 's3fs', 'scipy',
'tables', 'urllib.request', 'xlrd', 'xlsxwriter'}
# GH#28227 for some of these check for top-level modules, while others are
# more specific (e.g. urllib.request)
import_mods = set(m.split('.')[0] for m in sys.modules) | set(sys.modules)
mods = blocklist & import_mods
if mods:
sys.stderr.write('err: pandas should not import: {}\n'.format(', '.join(mods)))
sys.exit(len(mods))
"
RET=$(($RET + $?)) ; echo $MSG "DONE"
fi
### DOCTESTS ###
if [[ -z "$CHECK" || "$CHECK" == "doctests" ]]; then
MSG='Python and Cython Doctests' ; echo $MSG
python -c 'import pandas as pd; pd.test(run_doctests=True)'
RET=$(($RET + $?)) ; echo $MSG "DONE"
fi
### DOCSTRINGS ###
if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
MSG='Validate docstrings (EX01, EX03, EX04, GL01, GL02, GL03, GL04, GL05, GL06, GL07, GL09, GL10, PR03, PR04, PR05, PR06, PR08, PR09, PR10, RT01, RT02, RT04, RT05, SA02, SA03, SA04, SS01, SS02, SS03, SS04, SS05, SS06)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=EX01,EX03,EX04,GL01,GL02,GL03,GL04,GL05,GL06,GL07,GL09,GL10,PR03,PR04,PR05,PR06,PR08,PR09,PR10,RT01,RT02,RT04,RT05,SA02,SA03,SA04,SS01,SS02,SS03,SS04,SS05,SS06
RET=$(($RET + $?)) ; echo $MSG "DONE"
MSG='Partially validate docstrings (PR02)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=PR02 --ignore_functions \
pandas.Series.dt.to_period\
pandas.Series.dt.tz_localize\
pandas.Series.dt.tz_convert\
pandas.Series.dt.strftime\
pandas.Series.dt.round\
pandas.Series.dt.floor\
pandas.Series.dt.ceil\
pandas.Series.dt.month_name\
pandas.Series.dt.day_name\
pandas.Series.cat.rename_categories\
pandas.Series.cat.reorder_categories\
pandas.Series.cat.add_categories\
pandas.Series.cat.remove_categories\
pandas.Series.cat.set_categories\
pandas.Series.plot\
pandas.DataFrame.plot\
pandas.tseries.offsets.DateOffset\
pandas.tseries.offsets.BusinessDay\
pandas.tseries.offsets.BDay\
pandas.tseries.offsets.BusinessHour\
pandas.tseries.offsets.CustomBusinessDay\
pandas.tseries.offsets.CDay\
pandas.tseries.offsets.CustomBusinessHour\
pandas.tseries.offsets.MonthEnd\
pandas.tseries.offsets.MonthBegin\
pandas.tseries.offsets.BusinessMonthEnd\
pandas.tseries.offsets.BMonthEnd\
pandas.tseries.offsets.BusinessMonthBegin\
pandas.tseries.offsets.BMonthBegin\
pandas.tseries.offsets.CustomBusinessMonthEnd\
pandas.tseries.offsets.CBMonthEnd\
pandas.tseries.offsets.CustomBusinessMonthBegin\
pandas.tseries.offsets.CBMonthBegin\
pandas.tseries.offsets.SemiMonthEnd\
pandas.tseries.offsets.SemiMonthBegin\
pandas.tseries.offsets.Week\
pandas.tseries.offsets.WeekOfMonth\
pandas.tseries.offsets.LastWeekOfMonth\
pandas.tseries.offsets.BQuarterEnd\
pandas.tseries.offsets.BQuarterBegin\
pandas.tseries.offsets.QuarterEnd\
pandas.tseries.offsets.QuarterBegin\
pandas.tseries.offsets.BYearEnd\
pandas.tseries.offsets.BYearBegin\
pandas.tseries.offsets.YearEnd\
pandas.tseries.offsets.YearBegin\
pandas.tseries.offsets.FY5253\
pandas.tseries.offsets.FY5253Quarter\
pandas.tseries.offsets.Easter\
pandas.tseries.offsets.Day\
pandas.tseries.offsets.Hour\
pandas.tseries.offsets.Minute\
pandas.tseries.offsets.Second\
pandas.tseries.offsets.Milli\
pandas.tseries.offsets.Micro\
pandas.tseries.offsets.Nano\
pandas.Timestamp.max\
pandas.Timestamp.min\
pandas.Timestamp.resolution\
pandas.Timedelta.max\
pandas.Timedelta.min\
pandas.Timedelta.resolution\
pandas.Interval\
pandas.Grouper\
pandas.core.groupby.DataFrameGroupBy.nth\
pandas.core.groupby.SeriesGroupBy.nth\
pandas.core.groupby.DataFrameGroupBy.plot\
pandas.core.groupby.SeriesGroupBy.plot # There should be no backslash in the final line, please keep this comment in the last ignored function
RET=$(($RET + $?)) ; echo $MSG "DONE"
MSG='Partially validate docstrings (PR07)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=PR07 --ignore_functions \
pandas.DataFrame.align\
pandas.DataFrame.get\
pandas.DataFrame.rolling\
pandas.DataFrame.to_hdf\
pandas.DatetimeIndex.indexer_between_time\
pandas.DatetimeIndex.mean\
pandas.HDFStore.append\
pandas.HDFStore.get\
pandas.HDFStore.put\
pandas.Index\
pandas.Index.append\
pandas.Index.copy\
pandas.Index.difference\
pandas.Index.drop\
pandas.Index.get_indexer\
pandas.Index.get_indexer_non_unique\
pandas.Index.get_loc\
pandas.Index.get_slice_bound\
pandas.Index.insert\
pandas.Index.intersection\
pandas.Index.join\
pandas.Index.reindex\
pandas.Index.slice_indexer\
pandas.Index.symmetric_difference\
pandas.Index.take\
pandas.Index.union\
pandas.IntervalIndex.get_indexer\
pandas.IntervalIndex.get_loc\
pandas.MultiIndex.append\
pandas.MultiIndex.copy\
pandas.MultiIndex.drop\
pandas.MultiIndex.get_indexer\
pandas.MultiIndex.get_loc\
pandas.MultiIndex.get_loc_level\
pandas.MultiIndex.sortlevel\
pandas.PeriodIndex.from_fields\
pandas.RangeIndex\
pandas.Series.add\
pandas.Series.align\
pandas.Series.cat\
pandas.Series.div\
pandas.Series.eq\
pandas.Series.floordiv\
pandas.Series.ge\
pandas.Series.get\
pandas.Series.gt\
pandas.Series.le\
pandas.Series.lt\
pandas.Series.mod\
pandas.Series.mul\
pandas.Series.ne\
pandas.Series.pow\
pandas.Series.radd\
pandas.Series.rdiv\
pandas.Series.rfloordiv\
pandas.Series.rmod\
pandas.Series.rmul\
pandas.Series.rolling\
pandas.Series.rpow\
pandas.Series.rsub\
pandas.Series.rtruediv\
pandas.Series.sparse.from_coo\
pandas.Series.sparse.to_coo\
pandas.Series.str.decode\
pandas.Series.str.encode\
pandas.Series.sub\
pandas.Series.to_hdf\
pandas.Series.truediv\
pandas.Series.update\
pandas.Timedelta\
pandas.Timedelta.max\
pandas.Timedelta.min\
pandas.Timedelta.resolution\
pandas.TimedeltaIndex.mean\
pandas.Timestamp\
pandas.Timestamp.max\
pandas.Timestamp.min\
pandas.Timestamp.replace\
pandas.Timestamp.resolution\
pandas.api.extensions.ExtensionArray._concat_same_type\
pandas.api.extensions.ExtensionArray.insert\
pandas.api.extensions.ExtensionArray.isin\
pandas.api.types.infer_dtype\
pandas.api.types.is_dict_like\
pandas.api.types.is_file_like\
pandas.api.types.is_iterator\
pandas.api.types.is_named_tuple\
pandas.api.types.is_re\
pandas.api.types.is_re_compilable\
pandas.api.types.pandas_dtype\
pandas.arrays.ArrowExtensionArray\
pandas.arrays.SparseArray\
pandas.arrays.TimedeltaArray\
pandas.core.groupby.DataFrameGroupBy.boxplot\
pandas.core.resample.Resampler.quantile\
pandas.io.formats.style.Styler.set_table_attributes\
pandas.io.formats.style.Styler.set_uuid\
pandas.io.json.build_table_schema\
pandas.merge\
pandas.merge_asof\
pandas.merge_ordered\
pandas.pivot\
pandas.pivot_table\
pandas.plotting.parallel_coordinates\
pandas.plotting.scatter_matrix\
pandas.plotting.table\
pandas.qcut\
pandas.testing.assert_index_equal\
pandas.testing.assert_series_equal\
pandas.unique\
pandas.util.hash_array\
pandas.util.hash_pandas_object # There should be no backslash in the final line, please keep this comment in the last ignored function
RET=$(($RET + $?)) ; echo $MSG "DONE"
MSG='Partially validate docstrings (RT03)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=RT03 --ignore_functions \
pandas.Index.to_numpy\
pandas.Categorical.set_categories\
pandas.CategoricalIndex.set_categories\
pandas.DataFrame.astype\
pandas.DataFrame.at_time\
pandas.DataFrame.ewm\
pandas.DataFrame.expanding\
pandas.DataFrame.filter\
pandas.DataFrame.first_valid_index\
pandas.DataFrame.get\
pandas.DataFrame.hist\
pandas.DataFrame.infer_objects\
pandas.DataFrame.kurt\
pandas.DataFrame.kurtosis\
pandas.DataFrame.last_valid_index\
pandas.DataFrame.mask\
pandas.DataFrame.max\
pandas.DataFrame.mean\
pandas.DataFrame.median\
pandas.DataFrame.min\
pandas.DataFrame.nsmallest\
pandas.DataFrame.nunique\
pandas.DataFrame.pipe\
pandas.DataFrame.plot.box\
pandas.DataFrame.plot.density\
pandas.DataFrame.plot.kde\
pandas.DataFrame.plot.scatter\
pandas.DataFrame.pop\
pandas.DataFrame.prod\
pandas.DataFrame.product\
pandas.DataFrame.reindex\
pandas.DataFrame.reorder_levels\
pandas.DataFrame.sem\
pandas.DataFrame.skew\
pandas.DataFrame.std\
pandas.DataFrame.sum\
pandas.DataFrame.swapaxes\
pandas.DataFrame.to_numpy\
pandas.DataFrame.to_orc\
pandas.DataFrame.to_parquet\
pandas.DataFrame.unstack\
pandas.DataFrame.value_counts\
pandas.DataFrame.var\
pandas.DataFrame.where\
pandas.DatetimeIndex.indexer_at_time\
pandas.DatetimeIndex.indexer_between_time\
pandas.DatetimeIndex.snap\
pandas.DatetimeIndex.std\
pandas.DatetimeIndex.to_period\
pandas.DatetimeIndex.to_pydatetime\
pandas.DatetimeIndex.tz_convert\
pandas.HDFStore.info\
pandas.Index.append\
pandas.Index.difference\
pandas.Index.drop_duplicates\
pandas.Index.droplevel\
pandas.Index.dropna\
pandas.Index.duplicated\
pandas.Index.fillna\
pandas.Index.get_loc\
pandas.Index.insert\
pandas.Index.intersection\
pandas.Index.join\
pandas.Index.memory_usage\
pandas.Index.nunique\
pandas.Index.putmask\
pandas.Index.ravel\
pandas.Index.slice_indexer\
pandas.Index.slice_locs\
pandas.Index.symmetric_difference\
pandas.Index.to_list\
pandas.Index.union\
pandas.Index.unique\
pandas.Index.value_counts\
pandas.IntervalIndex.contains\
pandas.IntervalIndex.get_loc\
pandas.IntervalIndex.set_closed\
pandas.IntervalIndex.to_tuples\
pandas.MultiIndex.copy\
pandas.MultiIndex.drop\
pandas.MultiIndex.droplevel\
pandas.MultiIndex.remove_unused_levels\
pandas.MultiIndex.reorder_levels\
pandas.MultiIndex.set_levels\
pandas.MultiIndex.to_frame\
pandas.PeriodIndex.to_timestamp\
pandas.Series.__iter__\
pandas.Series.astype\
pandas.Series.at_time\
pandas.Series.case_when\
pandas.Series.cat.set_categories\
pandas.Series.dt.to_period\
pandas.Series.dt.tz_convert\
pandas.Series.ewm\
pandas.Series.expanding\
pandas.Series.filter\
pandas.Series.first_valid_index\
pandas.Series.get\
pandas.Series.infer_objects\
pandas.Series.kurt\
pandas.Series.kurtosis\
pandas.Series.last_valid_index\
pandas.Series.mask\
pandas.Series.max\
pandas.Series.mean\
pandas.Series.median\
pandas.Series.min\
pandas.Series.nunique\
pandas.Series.pipe\
pandas.Series.plot.box\
pandas.Series.plot.density\
pandas.Series.plot.kde\
pandas.Series.pop\
pandas.Series.prod\
pandas.Series.product\
pandas.Series.reindex\
pandas.Series.reorder_levels\
pandas.Series.sem\
pandas.Series.skew\
pandas.Series.sparse.to_coo\
pandas.Series.std\
pandas.Series.str.capitalize\
pandas.Series.str.casefold\
pandas.Series.str.center\
pandas.Series.str.decode\
pandas.Series.str.encode\
pandas.Series.str.find\
pandas.Series.str.fullmatch\
pandas.Series.str.get\
pandas.Series.str.index\
pandas.Series.str.ljust\
pandas.Series.str.lower\
pandas.Series.str.lstrip\
pandas.Series.str.match\
pandas.Series.str.normalize\
pandas.Series.str.partition\
pandas.Series.str.rfind\
pandas.Series.str.rindex\
pandas.Series.str.rjust\
pandas.Series.str.rpartition\
pandas.Series.str.rstrip\
pandas.Series.str.strip\
pandas.Series.str.swapcase\
pandas.Series.str.title\
pandas.Series.str.translate\
pandas.Series.str.upper\
pandas.Series.str.wrap\
pandas.Series.str.zfill\
pandas.Series.sum\
pandas.Series.to_list\
pandas.Series.to_numpy\
pandas.Series.to_timestamp\
pandas.Series.value_counts\
pandas.Series.var\
pandas.Series.where\
pandas.TimedeltaIndex.as_unit\
pandas.TimedeltaIndex.to_pytimedelta\
pandas.api.extensions.ExtensionArray._accumulate\
pandas.api.extensions.ExtensionArray._hash_pandas_object\
pandas.api.extensions.ExtensionArray._pad_or_backfill\
pandas.api.extensions.ExtensionArray._reduce\
pandas.api.extensions.ExtensionArray.copy\
pandas.api.extensions.ExtensionArray.dropna\
pandas.api.extensions.ExtensionArray.duplicated\
pandas.api.extensions.ExtensionArray.insert\
pandas.api.extensions.ExtensionArray.isin\
pandas.api.extensions.ExtensionArray.ravel\
pandas.api.extensions.ExtensionArray.take\
pandas.api.extensions.ExtensionArray.tolist\
pandas.api.extensions.ExtensionArray.unique\
pandas.api.interchange.from_dataframe\
pandas.api.types.is_hashable\
pandas.api.types.pandas_dtype\
pandas.api.types.union_categoricals\
pandas.arrays.IntervalArray.contains\
pandas.arrays.IntervalArray.set_closed\
pandas.arrays.IntervalArray.to_tuples\
pandas.bdate_range\
pandas.core.groupby.DataFrameGroupBy.__iter__\
pandas.core.groupby.DataFrameGroupBy.agg\
pandas.core.groupby.DataFrameGroupBy.aggregate\
pandas.core.groupby.DataFrameGroupBy.apply\
pandas.core.groupby.DataFrameGroupBy.boxplot\
pandas.core.groupby.DataFrameGroupBy.cummax\
pandas.core.groupby.DataFrameGroupBy.cummin\
pandas.core.groupby.DataFrameGroupBy.cumprod\
pandas.core.groupby.DataFrameGroupBy.cumsum\
pandas.core.groupby.DataFrameGroupBy.filter\
pandas.core.groupby.DataFrameGroupBy.get_group\
pandas.core.groupby.DataFrameGroupBy.hist\
pandas.core.groupby.DataFrameGroupBy.mean\
pandas.core.groupby.DataFrameGroupBy.nunique\
pandas.core.groupby.DataFrameGroupBy.rank\
pandas.core.groupby.DataFrameGroupBy.resample\
pandas.core.groupby.DataFrameGroupBy.skew\
pandas.core.groupby.DataFrameGroupBy.transform\
pandas.core.groupby.SeriesGroupBy.__iter__\
pandas.core.groupby.SeriesGroupBy.agg\
pandas.core.groupby.SeriesGroupBy.aggregate\
pandas.core.groupby.SeriesGroupBy.apply\
pandas.core.groupby.SeriesGroupBy.cummax\
pandas.core.groupby.SeriesGroupBy.cummin\
pandas.core.groupby.SeriesGroupBy.cumprod\
pandas.core.groupby.SeriesGroupBy.cumsum\
pandas.core.groupby.SeriesGroupBy.filter\
pandas.core.groupby.SeriesGroupBy.get_group\
pandas.core.groupby.SeriesGroupBy.mean\
pandas.core.groupby.SeriesGroupBy.rank\
pandas.core.groupby.SeriesGroupBy.resample\
pandas.core.groupby.SeriesGroupBy.skew\
pandas.core.groupby.SeriesGroupBy.transform\
pandas.core.resample.Resampler.__iter__\
pandas.core.resample.Resampler.ffill\
pandas.core.resample.Resampler.get_group\
pandas.core.resample.Resampler.max\
pandas.core.resample.Resampler.min\
pandas.core.resample.Resampler.transform\
pandas.date_range\
pandas.interval_range\
pandas.io.formats.style.Styler.apply\
pandas.io.formats.style.Styler.apply_index\
pandas.io.formats.style.Styler.background_gradient\
pandas.io.formats.style.Styler.bar\
pandas.io.formats.style.Styler.concat\
pandas.io.formats.style.Styler.export\
pandas.io.formats.style.Styler.format\
pandas.io.formats.style.Styler.format_index\
pandas.io.formats.style.Styler.hide\
pandas.io.formats.style.Styler.highlight_between\
pandas.io.formats.style.Styler.highlight_max\
pandas.io.formats.style.Styler.highlight_min\
pandas.io.formats.style.Styler.highlight_null\
pandas.io.formats.style.Styler.highlight_quantile\
pandas.io.formats.style.Styler.map\
pandas.io.formats.style.Styler.map_index\
pandas.io.formats.style.Styler.relabel_index\
pandas.io.formats.style.Styler.set_caption\
pandas.io.formats.style.Styler.set_properties\
pandas.io.formats.style.Styler.set_sticky\
pandas.io.formats.style.Styler.set_table_attributes\
pandas.io.formats.style.Styler.set_table_styles\
pandas.io.formats.style.Styler.set_td_classes\
pandas.io.formats.style.Styler.set_tooltips\
pandas.io.formats.style.Styler.set_uuid\
pandas.io.formats.style.Styler.text_gradient\
pandas.io.formats.style.Styler.use\
pandas.io.json.build_table_schema\
pandas.io.stata.StataReader.value_labels\
pandas.io.stata.StataReader.variable_labels\
pandas.json_normalize\
pandas.merge_asof\
pandas.period_range\
pandas.plotting.andrews_curves\
pandas.plotting.autocorrelation_plot\
pandas.plotting.lag_plot\
pandas.plotting.parallel_coordinates\
pandas.plotting.radviz\
pandas.plotting.table\
pandas.read_feather\
pandas.read_orc\
pandas.read_sas\
pandas.read_spss\
pandas.read_sql\
pandas.read_sql_query\
pandas.read_stata\
pandas.set_eng_float_format\
pandas.timedelta_range\
pandas.util.hash_pandas_object # There should be no backslash in the final line, please keep this comment in the last ignored function
RET=$(($RET + $?)) ; echo $MSG "DONE"
MSG='Partially validate docstrings (SA01)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=SA01 --ignore_functions \
pandas.ArrowDtype\
pandas.BooleanDtype\
pandas.Categorical.__array__\
pandas.Categorical.as_ordered\
pandas.Categorical.as_unordered\
pandas.Categorical.codes\
pandas.Categorical.dtype\
pandas.Categorical.from_codes\
pandas.Categorical.ordered\
pandas.CategoricalDtype.categories\
pandas.CategoricalDtype.ordered\
pandas.CategoricalIndex.as_ordered\
pandas.CategoricalIndex.as_unordered\
pandas.CategoricalIndex.codes\
pandas.CategoricalIndex.equals\
pandas.CategoricalIndex.ordered\
pandas.DataFrame.__dataframe__\
pandas.DataFrame.__iter__\
pandas.DataFrame.align\
pandas.DataFrame.assign\
pandas.DataFrame.axes\
pandas.DataFrame.backfill\
pandas.DataFrame.bfill\
pandas.DataFrame.columns\
pandas.DataFrame.copy\
pandas.DataFrame.droplevel\
pandas.DataFrame.dtypes\
pandas.DataFrame.ffill\
pandas.DataFrame.first_valid_index\
pandas.DataFrame.get\
pandas.DataFrame.keys\
pandas.DataFrame.kurt\
pandas.DataFrame.kurtosis\
pandas.DataFrame.last_valid_index\
pandas.DataFrame.mean\
pandas.DataFrame.median\
pandas.DataFrame.pad\
pandas.DataFrame.plot\
pandas.DataFrame.pop\
pandas.DataFrame.reorder_levels\
pandas.DataFrame.sem\
pandas.DataFrame.skew\
pandas.DataFrame.sparse\
pandas.DataFrame.sparse.density\
pandas.DataFrame.sparse.from_spmatrix\
pandas.DataFrame.sparse.to_coo\
pandas.DataFrame.sparse.to_dense\
pandas.DataFrame.std\
pandas.DataFrame.swapaxes\
pandas.DataFrame.swaplevel\
pandas.DataFrame.to_feather\
pandas.DataFrame.to_markdown\
pandas.DataFrame.to_period\
pandas.DataFrame.to_timestamp\
pandas.DataFrame.tz_convert\
pandas.DataFrame.tz_localize\
pandas.DataFrame.var\
pandas.DatetimeIndex.ceil\
pandas.DatetimeIndex.date\
pandas.DatetimeIndex.day\
pandas.DatetimeIndex.day_name\
pandas.DatetimeIndex.day_of_year\
pandas.DatetimeIndex.dayofyear\
pandas.DatetimeIndex.floor\
pandas.DatetimeIndex.freqstr\
pandas.DatetimeIndex.hour\
pandas.DatetimeIndex.inferred_freq\
pandas.DatetimeIndex.is_leap_year\
pandas.DatetimeIndex.microsecond\
pandas.DatetimeIndex.minute\
pandas.DatetimeIndex.month\
pandas.DatetimeIndex.month_name\
pandas.DatetimeIndex.nanosecond\
pandas.DatetimeIndex.quarter\
pandas.DatetimeIndex.round\
pandas.DatetimeIndex.second\
pandas.DatetimeIndex.snap\
pandas.DatetimeIndex.time\
pandas.DatetimeIndex.timetz\
pandas.DatetimeIndex.to_pydatetime\
pandas.DatetimeIndex.tz\
pandas.DatetimeIndex.year\
pandas.DatetimeTZDtype\
pandas.DatetimeTZDtype.tz\
pandas.DatetimeTZDtype.unit\
pandas.ExcelFile\
pandas.ExcelFile.parse\
pandas.ExcelWriter\
pandas.Flags\
pandas.Float32Dtype\
pandas.Float64Dtype\
pandas.Grouper\
pandas.HDFStore.append\
pandas.HDFStore.get\
pandas.HDFStore.groups\
pandas.HDFStore.info\
pandas.HDFStore.keys\
pandas.HDFStore.put\
pandas.HDFStore.select\
pandas.HDFStore.walk\
pandas.Index.T\
pandas.Index.append\
pandas.Index.astype\
pandas.Index.copy\
pandas.Index.difference\
pandas.Index.drop\
pandas.Index.droplevel\
pandas.Index.dropna\
pandas.Index.dtype\
pandas.Index.equals\
pandas.Index.get_indexer\
pandas.Index.get_indexer_for\
pandas.Index.get_indexer_non_unique\
pandas.Index.get_loc\
pandas.Index.hasnans\
pandas.Index.identical\
pandas.Index.inferred_type\
pandas.Index.insert\
pandas.Index.intersection\
pandas.Index.item\
pandas.Index.join\
pandas.Index.map\
pandas.Index.name\
pandas.Index.nbytes\
pandas.Index.ndim\
pandas.Index.shape\
pandas.Index.size\
pandas.Index.slice_indexer\
pandas.Index.str\
pandas.Index.symmetric_difference\
pandas.Index.union\
pandas.Int16Dtype\
pandas.Int32Dtype\
pandas.Int64Dtype\
pandas.Int8Dtype\
pandas.Interval.closed\
pandas.Interval.left\
pandas.Interval.mid\
pandas.Interval.right\
pandas.IntervalDtype\
pandas.IntervalDtype.subtype\
pandas.IntervalIndex.closed\
pandas.IntervalIndex.get_indexer\
pandas.IntervalIndex.get_loc\
pandas.IntervalIndex.is_non_overlapping_monotonic\
pandas.IntervalIndex.set_closed\
pandas.IntervalIndex.to_tuples\
pandas.MultiIndex.append\
pandas.MultiIndex.copy\
pandas.MultiIndex.drop\
pandas.MultiIndex.droplevel\
pandas.MultiIndex.dtypes\
pandas.MultiIndex.get_indexer\
pandas.MultiIndex.get_level_values\
pandas.MultiIndex.levels\
pandas.MultiIndex.levshape\
pandas.MultiIndex.names\
pandas.MultiIndex.nlevels\
pandas.MultiIndex.remove_unused_levels\
pandas.MultiIndex.reorder_levels\
pandas.MultiIndex.set_codes\
pandas.MultiIndex.set_levels\
pandas.MultiIndex.sortlevel\
pandas.MultiIndex.truncate\
pandas.NA\
pandas.NaT\
pandas.NamedAgg\
pandas.Period\
pandas.Period.asfreq\
pandas.Period.freqstr\
pandas.Period.is_leap_year\
pandas.Period.month\
pandas.Period.now\
pandas.Period.quarter\
pandas.Period.strftime\
pandas.Period.to_timestamp\
pandas.Period.year\
pandas.PeriodDtype\
pandas.PeriodDtype.freq\
pandas.PeriodIndex.day\
pandas.PeriodIndex.day_of_week\
pandas.PeriodIndex.day_of_year\
pandas.PeriodIndex.dayofweek\
pandas.PeriodIndex.dayofyear\
pandas.PeriodIndex.days_in_month\
pandas.PeriodIndex.daysinmonth\
pandas.PeriodIndex.freqstr\
pandas.PeriodIndex.from_fields\
pandas.PeriodIndex.from_ordinals\
pandas.PeriodIndex.hour\
pandas.PeriodIndex.is_leap_year\
pandas.PeriodIndex.minute\
pandas.PeriodIndex.month\
pandas.PeriodIndex.quarter\
pandas.PeriodIndex.second\
pandas.PeriodIndex.to_timestamp\
pandas.PeriodIndex.week\
pandas.PeriodIndex.weekday\
pandas.PeriodIndex.weekofyear\
pandas.PeriodIndex.year\
pandas.RangeIndex.from_range\
pandas.RangeIndex.start\
pandas.RangeIndex.step\
pandas.RangeIndex.stop\
pandas.Series\
pandas.Series.T\
pandas.Series.__iter__\
pandas.Series.align\
pandas.Series.backfill\
pandas.Series.bfill\
pandas.Series.cat\
pandas.Series.cat.as_ordered\
pandas.Series.cat.as_unordered\
pandas.Series.cat.codes\
pandas.Series.cat.ordered\
pandas.Series.copy\
pandas.Series.droplevel\
pandas.Series.dt.ceil\
pandas.Series.dt.components\
pandas.Series.dt.date\
pandas.Series.dt.day\
pandas.Series.dt.day_name\
pandas.Series.dt.day_of_year\
pandas.Series.dt.dayofyear\
pandas.Series.dt.days\
pandas.Series.dt.days_in_month\
pandas.Series.dt.daysinmonth\
pandas.Series.dt.floor\
pandas.Series.dt.hour\
pandas.Series.dt.is_leap_year\
pandas.Series.dt.microsecond\
pandas.Series.dt.microseconds\
pandas.Series.dt.minute\
pandas.Series.dt.month\
pandas.Series.dt.month_name\
pandas.Series.dt.nanosecond\
pandas.Series.dt.nanoseconds\
pandas.Series.dt.quarter\
pandas.Series.dt.round\
pandas.Series.dt.second\
pandas.Series.dt.seconds\
pandas.Series.dt.time\
pandas.Series.dt.timetz\
pandas.Series.dt.tz\
pandas.Series.dt.year\
pandas.Series.dtype\
pandas.Series.dtypes\
pandas.Series.eq\
pandas.Series.ffill\
pandas.Series.first_valid_index\
pandas.Series.ge\
pandas.Series.get\
pandas.Series.gt\
pandas.Series.hasnans\
pandas.Series.is_monotonic_decreasing\
pandas.Series.is_monotonic_increasing\
pandas.Series.is_unique\
pandas.Series.item\
pandas.Series.keys\
pandas.Series.kurt\
pandas.Series.kurtosis\
pandas.Series.last_valid_index\
pandas.Series.le\
pandas.Series.list.__getitem__\
pandas.Series.list.flatten\
pandas.Series.list.len\
pandas.Series.lt\
pandas.Series.mean\
pandas.Series.median\
pandas.Series.mode\
pandas.Series.nbytes\
pandas.Series.ndim\
pandas.Series.ne\
pandas.Series.pad\
pandas.Series.plot\
pandas.Series.pop\
pandas.Series.reorder_levels\
pandas.Series.sem\
pandas.Series.shape\
pandas.Series.size\
pandas.Series.skew\
pandas.Series.sparse\
pandas.Series.sparse.density\
pandas.Series.sparse.fill_value\
pandas.Series.sparse.from_coo\
pandas.Series.sparse.npoints\
pandas.Series.sparse.sp_values\
pandas.Series.sparse.to_coo\
pandas.Series.std\
pandas.Series.str\
pandas.Series.str.center\
pandas.Series.str.decode\
pandas.Series.str.encode\
pandas.Series.str.get\
pandas.Series.str.ljust\
pandas.Series.str.normalize\
pandas.Series.str.repeat\
pandas.Series.str.replace\
pandas.Series.str.rjust\
pandas.Series.str.translate\
pandas.Series.str.wrap\
pandas.Series.struct.dtypes\
pandas.Series.swaplevel\
pandas.Series.to_dict\
pandas.Series.to_frame\
pandas.Series.to_markdown\
pandas.Series.to_period\
pandas.Series.to_string\
pandas.Series.to_timestamp\
pandas.Series.tz_convert\
pandas.Series.tz_localize\
pandas.Series.unstack\
pandas.Series.update\
pandas.Series.var\
pandas.SparseDtype\
pandas.StringDtype\
pandas.Timedelta\
pandas.Timedelta.as_unit\
pandas.Timedelta.asm8\
pandas.Timedelta.ceil\
pandas.Timedelta.components\
pandas.Timedelta.days\
pandas.Timedelta.floor\
pandas.Timedelta.max\
pandas.Timedelta.min\
pandas.Timedelta.resolution\
pandas.Timedelta.round\
pandas.Timedelta.to_timedelta64\
pandas.Timedelta.total_seconds\
pandas.Timedelta.view\
pandas.TimedeltaIndex.as_unit\
pandas.TimedeltaIndex.ceil\
pandas.TimedeltaIndex.components\
pandas.TimedeltaIndex.days\
pandas.TimedeltaIndex.floor\
pandas.TimedeltaIndex.inferred_freq\
pandas.TimedeltaIndex.microseconds\
pandas.TimedeltaIndex.nanoseconds\
pandas.TimedeltaIndex.round\
pandas.TimedeltaIndex.seconds\
pandas.TimedeltaIndex.to_pytimedelta\
pandas.Timestamp\
pandas.Timestamp.as_unit\
pandas.Timestamp.asm8\
pandas.Timestamp.astimezone\
pandas.Timestamp.ceil\
pandas.Timestamp.combine\
pandas.Timestamp.ctime\
pandas.Timestamp.date\
pandas.Timestamp.day_name\
pandas.Timestamp.day_of_week\
pandas.Timestamp.day_of_year\
pandas.Timestamp.dayofweek\
pandas.Timestamp.dayofyear\
pandas.Timestamp.days_in_month\
pandas.Timestamp.daysinmonth\
pandas.Timestamp.dst\
pandas.Timestamp.floor\
pandas.Timestamp.fromordinal\
pandas.Timestamp.fromtimestamp\
pandas.Timestamp.is_leap_year\
pandas.Timestamp.isocalendar\
pandas.Timestamp.isoformat\
pandas.Timestamp.isoweekday\
pandas.Timestamp.max\
pandas.Timestamp.min\
pandas.Timestamp.month_name\
pandas.Timestamp.normalize\
pandas.Timestamp.now\
pandas.Timestamp.quarter\
pandas.Timestamp.replace\
pandas.Timestamp.resolution\
pandas.Timestamp.round\
pandas.Timestamp.strftime\
pandas.Timestamp.strptime\
pandas.Timestamp.time\
pandas.Timestamp.timestamp\
pandas.Timestamp.timetuple\
pandas.Timestamp.timetz\
pandas.Timestamp.to_datetime64\
pandas.Timestamp.to_julian_date\
pandas.Timestamp.to_period\
pandas.Timestamp.to_pydatetime\
pandas.Timestamp.today\
pandas.Timestamp.toordinal\
pandas.Timestamp.tz\
pandas.Timestamp.tz_convert\
pandas.Timestamp.tz_localize\
pandas.Timestamp.tzname\
pandas.Timestamp.unit\
pandas.Timestamp.utcfromtimestamp\
pandas.Timestamp.utcnow\
pandas.Timestamp.utcoffset\
pandas.Timestamp.utctimetuple\
pandas.Timestamp.week\
pandas.Timestamp.weekday\
pandas.Timestamp.weekofyear\
pandas.UInt16Dtype\
pandas.UInt32Dtype\
pandas.UInt64Dtype\
pandas.UInt8Dtype\
pandas.api.extensions.ExtensionArray\
pandas.api.extensions.ExtensionArray._accumulate\
pandas.api.extensions.ExtensionArray._concat_same_type\
pandas.api.extensions.ExtensionArray._formatter\
pandas.api.extensions.ExtensionArray._from_sequence\
pandas.api.extensions.ExtensionArray._from_sequence_of_strings\
pandas.api.extensions.ExtensionArray._hash_pandas_object\
pandas.api.extensions.ExtensionArray._pad_or_backfill\
pandas.api.extensions.ExtensionArray._reduce\
pandas.api.extensions.ExtensionArray._values_for_factorize\
pandas.api.extensions.ExtensionArray.astype\
pandas.api.extensions.ExtensionArray.copy\
pandas.api.extensions.ExtensionArray.dropna\
pandas.api.extensions.ExtensionArray.dtype\
pandas.api.extensions.ExtensionArray.duplicated\
pandas.api.extensions.ExtensionArray.equals\
pandas.api.extensions.ExtensionArray.fillna\
pandas.api.extensions.ExtensionArray.insert\
pandas.api.extensions.ExtensionArray.interpolate\
pandas.api.extensions.ExtensionArray.isin\
pandas.api.extensions.ExtensionArray.isna\
pandas.api.extensions.ExtensionArray.nbytes\
pandas.api.extensions.ExtensionArray.ndim\
pandas.api.extensions.ExtensionArray.ravel\
pandas.api.extensions.ExtensionArray.shape\
pandas.api.extensions.ExtensionArray.shift\
pandas.api.extensions.ExtensionArray.tolist\
pandas.api.extensions.ExtensionArray.unique\
pandas.api.extensions.ExtensionArray.view\
pandas.api.extensions.register_extension_dtype\
pandas.api.indexers.BaseIndexer\
pandas.api.indexers.FixedForwardWindowIndexer\
pandas.api.indexers.VariableOffsetWindowIndexer\
pandas.api.interchange.from_dataframe\
pandas.api.types.infer_dtype\
pandas.api.types.is_any_real_numeric_dtype\
pandas.api.types.is_bool\
pandas.api.types.is_bool_dtype\
pandas.api.types.is_categorical_dtype\
pandas.api.types.is_complex\
pandas.api.types.is_complex_dtype\
pandas.api.types.is_datetime64_any_dtype\
pandas.api.types.is_datetime64_dtype\
pandas.api.types.is_datetime64_ns_dtype\
pandas.api.types.is_datetime64tz_dtype\
pandas.api.types.is_dict_like\
pandas.api.types.is_extension_array_dtype\
pandas.api.types.is_file_like\
pandas.api.types.is_float\
pandas.api.types.is_float_dtype\
pandas.api.types.is_hashable\
pandas.api.types.is_int64_dtype\
pandas.api.types.is_integer\
pandas.api.types.is_integer_dtype\
pandas.api.types.is_interval_dtype\
pandas.api.types.is_iterator\
pandas.api.types.is_list_like\
pandas.api.types.is_named_tuple\
pandas.api.types.is_numeric_dtype\
pandas.api.types.is_object_dtype\
pandas.api.types.is_period_dtype\
pandas.api.types.is_re\
pandas.api.types.is_re_compilable\
pandas.api.types.is_scalar\
pandas.api.types.is_signed_integer_dtype\
pandas.api.types.is_sparse\