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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 (GL08)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=GL08 --ignore_functions \
pandas.DatetimeIndex.as_unit\
pandas.DatetimeIndex.freq\
pandas.ExcelFile.book\
pandas.ExcelFile.sheet_names\
pandas.Index.empty\
pandas.Index.names\
pandas.Index.view\
pandas.IntervalIndex.left\
pandas.IntervalIndex.length\
pandas.IntervalIndex.mid\
pandas.IntervalIndex.right\
pandas.MultiIndex.codes\
pandas.Period.freq\
pandas.Period.ordinal\
pandas.PeriodIndex.freq\
pandas.PeriodIndex.qyear\
pandas.Series.dt\
pandas.Series.dt.as_unit\
pandas.Series.dt.freq\
pandas.Series.dt.qyear\
pandas.Series.dt.unit\
pandas.Series.empty\
pandas.Timedelta.microseconds\
pandas.Timedelta.unit\
pandas.Timedelta.value\
pandas.Timestamp.day\
pandas.Timestamp.fold\
pandas.Timestamp.hour\
pandas.Timestamp.microsecond\
pandas.Timestamp.minute\
pandas.Timestamp.month\
pandas.Timestamp.nanosecond\
pandas.Timestamp.second\
pandas.Timestamp.tzinfo\
pandas.Timestamp.value\
pandas.Timestamp.year\
pandas.core.groupby.SeriesGroupBy.value_counts\
pandas.tseries.offsets.BQuarterBegin.is_anchored\
pandas.tseries.offsets.BQuarterBegin.is_on_offset\
pandas.tseries.offsets.BQuarterBegin.n\
pandas.tseries.offsets.BQuarterBegin.nanos\
pandas.tseries.offsets.BQuarterBegin.normalize\
pandas.tseries.offsets.BQuarterBegin.rule_code\
pandas.tseries.offsets.BQuarterBegin.startingMonth\
pandas.tseries.offsets.BQuarterEnd.is_anchored\
pandas.tseries.offsets.BQuarterEnd.is_on_offset\
pandas.tseries.offsets.BQuarterEnd.n\
pandas.tseries.offsets.BQuarterEnd.nanos\
pandas.tseries.offsets.BQuarterEnd.normalize\
pandas.tseries.offsets.BQuarterEnd.rule_code\
pandas.tseries.offsets.BQuarterEnd.startingMonth\
pandas.tseries.offsets.BYearBegin.is_on_offset\
pandas.tseries.offsets.BYearBegin.month\
pandas.tseries.offsets.BYearBegin.n\
pandas.tseries.offsets.BYearBegin.nanos\
pandas.tseries.offsets.BYearBegin.normalize\
pandas.tseries.offsets.BYearBegin.rule_code\
pandas.tseries.offsets.BYearEnd.is_on_offset\
pandas.tseries.offsets.BYearEnd.month\
pandas.tseries.offsets.BYearEnd.n\
pandas.tseries.offsets.BYearEnd.nanos\
pandas.tseries.offsets.BYearEnd.normalize\
pandas.tseries.offsets.BYearEnd.rule_code\
pandas.tseries.offsets.BusinessDay.calendar\
pandas.tseries.offsets.BusinessDay.holidays\
pandas.tseries.offsets.BusinessDay.is_on_offset\
pandas.tseries.offsets.BusinessDay.n\
pandas.tseries.offsets.BusinessDay.nanos\
pandas.tseries.offsets.BusinessDay.normalize\
pandas.tseries.offsets.BusinessDay.rule_code\
pandas.tseries.offsets.BusinessDay.weekmask\
pandas.tseries.offsets.BusinessHour.calendar\
pandas.tseries.offsets.BusinessHour.end\
pandas.tseries.offsets.BusinessHour.holidays\
pandas.tseries.offsets.BusinessHour.is_on_offset\
pandas.tseries.offsets.BusinessHour.n\
pandas.tseries.offsets.BusinessHour.nanos\
pandas.tseries.offsets.BusinessHour.normalize\
pandas.tseries.offsets.BusinessHour.rule_code\
pandas.tseries.offsets.BusinessHour.start\
pandas.tseries.offsets.BusinessHour.weekmask\
pandas.tseries.offsets.BusinessMonthBegin.is_on_offset\
pandas.tseries.offsets.BusinessMonthBegin.n\
pandas.tseries.offsets.BusinessMonthBegin.nanos\
pandas.tseries.offsets.BusinessMonthBegin.normalize\
pandas.tseries.offsets.BusinessMonthBegin.rule_code\
pandas.tseries.offsets.BusinessMonthEnd.is_on_offset\
pandas.tseries.offsets.BusinessMonthEnd.n\
pandas.tseries.offsets.BusinessMonthEnd.nanos\
pandas.tseries.offsets.BusinessMonthEnd.normalize\
pandas.tseries.offsets.BusinessMonthEnd.rule_code\
pandas.tseries.offsets.CustomBusinessDay.calendar\
pandas.tseries.offsets.CustomBusinessDay.holidays\
pandas.tseries.offsets.CustomBusinessDay.is_on_offset\
pandas.tseries.offsets.CustomBusinessDay.n\
pandas.tseries.offsets.CustomBusinessDay.nanos\
pandas.tseries.offsets.CustomBusinessDay.normalize\
pandas.tseries.offsets.CustomBusinessDay.rule_code\
pandas.tseries.offsets.CustomBusinessDay.weekmask\
pandas.tseries.offsets.CustomBusinessHour.calendar\
pandas.tseries.offsets.CustomBusinessHour.end\
pandas.tseries.offsets.CustomBusinessHour.holidays\
pandas.tseries.offsets.CustomBusinessHour.is_on_offset\
pandas.tseries.offsets.CustomBusinessHour.n\
pandas.tseries.offsets.CustomBusinessHour.nanos\
pandas.tseries.offsets.CustomBusinessHour.normalize\
pandas.tseries.offsets.CustomBusinessHour.rule_code\
pandas.tseries.offsets.CustomBusinessHour.start\
pandas.tseries.offsets.CustomBusinessHour.weekmask\
pandas.tseries.offsets.CustomBusinessMonthBegin.calendar\
pandas.tseries.offsets.CustomBusinessMonthBegin.holidays\
pandas.tseries.offsets.CustomBusinessMonthBegin.m_offset\
pandas.tseries.offsets.CustomBusinessMonthBegin.n\
pandas.tseries.offsets.CustomBusinessMonthBegin.nanos\
pandas.tseries.offsets.CustomBusinessMonthBegin.normalize\
pandas.tseries.offsets.CustomBusinessMonthBegin.rule_code\
pandas.tseries.offsets.CustomBusinessMonthBegin.weekmask\
pandas.tseries.offsets.CustomBusinessMonthEnd.calendar\
pandas.tseries.offsets.CustomBusinessMonthEnd.holidays\
pandas.tseries.offsets.CustomBusinessMonthEnd.m_offset\
pandas.tseries.offsets.CustomBusinessMonthEnd.n\
pandas.tseries.offsets.CustomBusinessMonthEnd.nanos\
pandas.tseries.offsets.CustomBusinessMonthEnd.normalize\
pandas.tseries.offsets.CustomBusinessMonthEnd.rule_code\
pandas.tseries.offsets.CustomBusinessMonthEnd.weekmask\
pandas.tseries.offsets.DateOffset.is_on_offset\
pandas.tseries.offsets.DateOffset.n\
pandas.tseries.offsets.DateOffset.nanos\
pandas.tseries.offsets.DateOffset.normalize\
pandas.tseries.offsets.DateOffset.rule_code\
pandas.tseries.offsets.Day.delta\
pandas.tseries.offsets.Day.is_on_offset\
pandas.tseries.offsets.Day.n\
pandas.tseries.offsets.Day.normalize\
pandas.tseries.offsets.Day.rule_code\
pandas.tseries.offsets.Easter.is_on_offset\
pandas.tseries.offsets.Easter.n\
pandas.tseries.offsets.Easter.nanos\
pandas.tseries.offsets.Easter.normalize\
pandas.tseries.offsets.Easter.rule_code\
pandas.tseries.offsets.FY5253.get_rule_code_suffix\
pandas.tseries.offsets.FY5253.get_year_end\
pandas.tseries.offsets.FY5253.is_anchored\
pandas.tseries.offsets.FY5253.is_on_offset\
pandas.tseries.offsets.FY5253.n\
pandas.tseries.offsets.FY5253.nanos\
pandas.tseries.offsets.FY5253.normalize\
pandas.tseries.offsets.FY5253.rule_code\
pandas.tseries.offsets.FY5253.startingMonth\
pandas.tseries.offsets.FY5253.variation\
pandas.tseries.offsets.FY5253.weekday\
pandas.tseries.offsets.FY5253Quarter.get_rule_code_suffix\
pandas.tseries.offsets.FY5253Quarter.get_weeks\
pandas.tseries.offsets.FY5253Quarter.is_anchored\
pandas.tseries.offsets.FY5253Quarter.is_on_offset\
pandas.tseries.offsets.FY5253Quarter.n\
pandas.tseries.offsets.FY5253Quarter.nanos\
pandas.tseries.offsets.FY5253Quarter.normalize\
pandas.tseries.offsets.FY5253Quarter.qtr_with_extra_week\
pandas.tseries.offsets.FY5253Quarter.rule_code\
pandas.tseries.offsets.FY5253Quarter.startingMonth\
pandas.tseries.offsets.FY5253Quarter.variation\
pandas.tseries.offsets.FY5253Quarter.weekday\
pandas.tseries.offsets.FY5253Quarter.year_has_extra_week\
pandas.tseries.offsets.Hour.delta\
pandas.tseries.offsets.Hour.is_on_offset\
pandas.tseries.offsets.Hour.n\
pandas.tseries.offsets.Hour.normalize\
pandas.tseries.offsets.Hour.rule_code\
pandas.tseries.offsets.LastWeekOfMonth.is_on_offset\
pandas.tseries.offsets.LastWeekOfMonth.n\
pandas.tseries.offsets.LastWeekOfMonth.nanos\
pandas.tseries.offsets.LastWeekOfMonth.normalize\
pandas.tseries.offsets.LastWeekOfMonth.rule_code\
pandas.tseries.offsets.LastWeekOfMonth.week\
pandas.tseries.offsets.LastWeekOfMonth.weekday\
pandas.tseries.offsets.Micro.delta\
pandas.tseries.offsets.Micro.is_on_offset\
pandas.tseries.offsets.Micro.n\
pandas.tseries.offsets.Micro.normalize\
pandas.tseries.offsets.Micro.rule_code\
pandas.tseries.offsets.Milli.delta\
pandas.tseries.offsets.Milli.is_on_offset\
pandas.tseries.offsets.Milli.n\
pandas.tseries.offsets.Milli.normalize\
pandas.tseries.offsets.Milli.rule_code\
pandas.tseries.offsets.Minute.delta\
pandas.tseries.offsets.Minute.is_on_offset\
pandas.tseries.offsets.Minute.n\
pandas.tseries.offsets.Minute.normalize\
pandas.tseries.offsets.Minute.rule_code\
pandas.tseries.offsets.MonthBegin.is_on_offset\
pandas.tseries.offsets.MonthBegin.n\
pandas.tseries.offsets.MonthBegin.nanos\
pandas.tseries.offsets.MonthBegin.normalize\
pandas.tseries.offsets.MonthBegin.rule_code\
pandas.tseries.offsets.MonthEnd.is_on_offset\
pandas.tseries.offsets.MonthEnd.n\
pandas.tseries.offsets.MonthEnd.nanos\
pandas.tseries.offsets.MonthEnd.normalize\
pandas.tseries.offsets.MonthEnd.rule_code\
pandas.tseries.offsets.Nano.delta\
pandas.tseries.offsets.Nano.is_on_offset\
pandas.tseries.offsets.Nano.n\
pandas.tseries.offsets.Nano.normalize\
pandas.tseries.offsets.Nano.rule_code\
pandas.tseries.offsets.QuarterBegin.is_anchored\
pandas.tseries.offsets.QuarterBegin.is_on_offset\
pandas.tseries.offsets.QuarterBegin.n\
pandas.tseries.offsets.QuarterBegin.nanos\
pandas.tseries.offsets.QuarterBegin.normalize\
pandas.tseries.offsets.QuarterBegin.rule_code\
pandas.tseries.offsets.QuarterBegin.startingMonth\
pandas.tseries.offsets.QuarterEnd.is_anchored\
pandas.tseries.offsets.QuarterEnd.is_on_offset\
pandas.tseries.offsets.QuarterEnd.n\
pandas.tseries.offsets.QuarterEnd.nanos\
pandas.tseries.offsets.QuarterEnd.normalize\
pandas.tseries.offsets.QuarterEnd.rule_code\
pandas.tseries.offsets.QuarterEnd.startingMonth\
pandas.tseries.offsets.Second.delta\
pandas.tseries.offsets.Second.is_on_offset\
pandas.tseries.offsets.Second.n\
pandas.tseries.offsets.Second.normalize\
pandas.tseries.offsets.Second.rule_code\
pandas.tseries.offsets.SemiMonthBegin.day_of_month\
pandas.tseries.offsets.SemiMonthBegin.is_on_offset\
pandas.tseries.offsets.SemiMonthBegin.n\
pandas.tseries.offsets.SemiMonthBegin.nanos\
pandas.tseries.offsets.SemiMonthBegin.normalize\
pandas.tseries.offsets.SemiMonthBegin.rule_code\
pandas.tseries.offsets.SemiMonthEnd.day_of_month\
pandas.tseries.offsets.SemiMonthEnd.is_on_offset\
pandas.tseries.offsets.SemiMonthEnd.n\
pandas.tseries.offsets.SemiMonthEnd.nanos\
pandas.tseries.offsets.SemiMonthEnd.normalize\
pandas.tseries.offsets.SemiMonthEnd.rule_code\
pandas.tseries.offsets.Tick\
pandas.tseries.offsets.Tick.delta\
pandas.tseries.offsets.Tick.is_on_offset\
pandas.tseries.offsets.Tick.n\
pandas.tseries.offsets.Tick.normalize\
pandas.tseries.offsets.Tick.rule_code\
pandas.tseries.offsets.Week.is_anchored\
pandas.tseries.offsets.Week.is_on_offset\
pandas.tseries.offsets.Week.n\
pandas.tseries.offsets.Week.nanos\
pandas.tseries.offsets.Week.normalize\
pandas.tseries.offsets.Week.rule_code\
pandas.tseries.offsets.Week.weekday\
pandas.tseries.offsets.WeekOfMonth.is_on_offset\
pandas.tseries.offsets.WeekOfMonth.n\
pandas.tseries.offsets.WeekOfMonth.nanos\
pandas.tseries.offsets.WeekOfMonth.normalize\
pandas.tseries.offsets.WeekOfMonth.rule_code\
pandas.tseries.offsets.WeekOfMonth.week\
pandas.tseries.offsets.WeekOfMonth.weekday\
pandas.tseries.offsets.YearBegin.is_on_offset\
pandas.tseries.offsets.YearBegin.month\
pandas.tseries.offsets.YearBegin.n\
pandas.tseries.offsets.YearBegin.nanos\
pandas.tseries.offsets.YearBegin.normalize\
pandas.tseries.offsets.YearBegin.rule_code\
pandas.tseries.offsets.YearEnd.is_on_offset\
pandas.tseries.offsets.YearEnd.month\
pandas.tseries.offsets.YearEnd.n\
pandas.tseries.offsets.YearEnd.nanos\
pandas.tseries.offsets.YearEnd.normalize\
pandas.tseries.offsets.YearEnd.rule_code # 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 (ES01)' ; echo $MSG
$BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=ES01 --ignore_functions \
pandas.Categorical.__array__\
pandas.Categorical.as_ordered\
pandas.Categorical.as_unordered\
pandas.Categorical.dtype\
pandas.Categorical.ordered\
pandas.Categorical.remove_unused_categories\
pandas.Categorical.rename_categories\
pandas.CategoricalDtype\
pandas.CategoricalDtype.categories\
pandas.CategoricalDtype.ordered\
pandas.CategoricalIndex.as_ordered\
pandas.CategoricalIndex.as_unordered\
pandas.CategoricalIndex.equals\
pandas.CategoricalIndex.ordered\
pandas.CategoricalIndex.remove_unused_categories\
pandas.CategoricalIndex.rename_categories\
pandas.DataFrame.T\
pandas.DataFrame.__dataframe__\
pandas.DataFrame.__iter__\
pandas.DataFrame.agg\
pandas.DataFrame.aggregate\
pandas.DataFrame.astype\
pandas.DataFrame.at_time\
pandas.DataFrame.bfill\
pandas.DataFrame.columns\
pandas.DataFrame.compare\
pandas.DataFrame.convert_dtypes\
pandas.DataFrame.corr\
pandas.DataFrame.droplevel\
pandas.DataFrame.expanding\
pandas.DataFrame.explode\
pandas.DataFrame.ffill\
pandas.DataFrame.fillna\
pandas.DataFrame.first_valid_index\
pandas.DataFrame.isin\
pandas.DataFrame.iterrows\
pandas.DataFrame.itertuples\
pandas.DataFrame.last_valid_index\
pandas.DataFrame.mask\
pandas.DataFrame.mean\
pandas.DataFrame.median\
pandas.DataFrame.pipe\
pandas.DataFrame.pop\
pandas.DataFrame.prod\
pandas.DataFrame.product\
pandas.DataFrame.quantile\
pandas.DataFrame.query\
pandas.DataFrame.rename_axis\
pandas.DataFrame.reorder_levels\
pandas.DataFrame.rolling\
pandas.DataFrame.round\
pandas.DataFrame.select_dtypes\
pandas.DataFrame.set_flags\
pandas.DataFrame.shape\
pandas.DataFrame.sort_values\
pandas.DataFrame.sparse\
pandas.DataFrame.sparse.density\
pandas.DataFrame.sparse.from_spmatrix\
pandas.DataFrame.sparse.to_coo\
pandas.DataFrame.sparse.to_dense\
pandas.DataFrame.to_csv\
pandas.DataFrame.to_feather\
pandas.DataFrame.to_html\
pandas.DataFrame.to_markdown\
pandas.DataFrame.to_pickle\
pandas.DataFrame.to_string\
pandas.DataFrame.to_timestamp\
pandas.DataFrame.to_xarray\
pandas.DataFrame.transform\
pandas.DataFrame.tz_convert\
pandas.DataFrame.value_counts\
pandas.DataFrame.where\
pandas.DatetimeIndex.ceil\
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.indexer_at_time\
pandas.DatetimeIndex.indexer_between_time\
pandas.DatetimeIndex.is_month_end\
pandas.DatetimeIndex.is_month_start\
pandas.DatetimeIndex.is_quarter_end\
pandas.DatetimeIndex.is_quarter_start\
pandas.DatetimeIndex.is_year_end\
pandas.DatetimeIndex.is_year_start\
pandas.DatetimeIndex.mean\
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.to_frame\
pandas.DatetimeIndex.to_pydatetime\
pandas.DatetimeIndex.tz\
pandas.DatetimeIndex.tz_convert\
pandas.DatetimeIndex.year\
pandas.DatetimeTZDtype.tz\
pandas.DatetimeTZDtype.unit\
pandas.Flags\
pandas.HDFStore.get\
pandas.HDFStore.info\
pandas.HDFStore.keys\
pandas.HDFStore.put\
pandas.Index.T\
pandas.Index.all\
pandas.Index.any\
pandas.Index.append\
pandas.Index.argsort\
pandas.Index.array\
pandas.Index.delete\
pandas.Index.drop\
pandas.Index.drop_duplicates\
pandas.Index.dropna\
pandas.Index.dtype\
pandas.Index.fillna\
pandas.Index.get_loc\
pandas.Index.has_duplicates\
pandas.Index.identical\
pandas.Index.inferred_type\
pandas.Index.is_monotonic_decreasing\
pandas.Index.is_monotonic_increasing\
pandas.Index.is_unique\
pandas.Index.item\
pandas.Index.join\
pandas.Index.map\
pandas.Index.max\
pandas.Index.memory_usage\
pandas.Index.min\
pandas.Index.name\
pandas.Index.nbytes\
pandas.Index.ndim\
pandas.Index.putmask\
pandas.Index.ravel\
pandas.Index.reindex\
pandas.Index.shape\
pandas.Index.size\
pandas.Index.slice_locs\
pandas.Index.symmetric_difference\
pandas.Index.to_frame\
pandas.Index.to_numpy\
pandas.IndexSlice\
pandas.Interval\
pandas.Interval.is_empty\
pandas.Interval.left\
pandas.Interval.length\
pandas.Interval.mid\
pandas.Interval.right\
pandas.IntervalDtype.subtype\
pandas.IntervalIndex\
pandas.IntervalIndex.from_arrays\
pandas.IntervalIndex.from_breaks\
pandas.IntervalIndex.from_tuples\
pandas.IntervalIndex.get_loc\
pandas.IntervalIndex.is_empty\
pandas.IntervalIndex.set_closed\
pandas.IntervalIndex.to_tuples\
pandas.MultiIndex\
pandas.MultiIndex.append\
pandas.MultiIndex.drop\
pandas.MultiIndex.dtypes\
pandas.MultiIndex.from_arrays\
pandas.MultiIndex.from_frame\
pandas.MultiIndex.from_product\
pandas.MultiIndex.from_tuples\
pandas.MultiIndex.get_loc_level\
pandas.MultiIndex.get_locs\
pandas.MultiIndex.levshape\
pandas.MultiIndex.names\
pandas.MultiIndex.nlevels\
pandas.MultiIndex.reorder_levels\
pandas.MultiIndex.set_codes\
pandas.MultiIndex.set_levels\
pandas.MultiIndex.to_flat_index\
pandas.MultiIndex.truncate\
pandas.NaT\
pandas.Period\
pandas.Period.asfreq\
pandas.Period.day\
pandas.Period.days_in_month\
pandas.Period.daysinmonth\
pandas.Period.end_time\
pandas.Period.freqstr\
pandas.Period.hour\
pandas.Period.is_leap_year\
pandas.Period.minute\
pandas.Period.month\
pandas.Period.now\
pandas.Period.quarter\
pandas.Period.second\
pandas.Period.start_time\
pandas.Period.week\
pandas.Period.weekofyear\
pandas.Period.year\
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.end_time\
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.start_time\
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.T\
pandas.Series.agg\
pandas.Series.aggregate\
pandas.Series.array\
pandas.Series.astype\
pandas.Series.at_time\
pandas.Series.bfill\
pandas.Series.case_when\
pandas.Series.cat\
pandas.Series.cat.as_ordered\
pandas.Series.cat.as_unordered\
pandas.Series.cat.codes\
pandas.Series.cat.ordered\
pandas.Series.cat.remove_unused_categories\
pandas.Series.cat.rename_categories\
pandas.Series.compare\
pandas.Series.convert_dtypes\
pandas.Series.count\
pandas.Series.drop_duplicates\
pandas.Series.droplevel\
pandas.Series.dt.ceil\
pandas.Series.dt.components\
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.end_time\
pandas.Series.dt.floor\
pandas.Series.dt.hour\
pandas.Series.dt.is_month_end\
pandas.Series.dt.is_month_start\
pandas.Series.dt.is_quarter_end\
pandas.Series.dt.is_quarter_start\
pandas.Series.dt.is_year_end\
pandas.Series.dt.is_year_start\
pandas.Series.dt.isocalendar\
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.start_time\
pandas.Series.dt.tz\
pandas.Series.dt.tz_convert\
pandas.Series.dt.year\
pandas.Series.dtype\
pandas.Series.dtypes\
pandas.Series.expanding\
pandas.Series.explode\
pandas.Series.ffill\
pandas.Series.fillna\
pandas.Series.first_valid_index\
pandas.Series.hist\
pandas.Series.is_monotonic_decreasing\
pandas.Series.is_monotonic_increasing\
pandas.Series.is_unique\
pandas.Series.item\
pandas.Series.keys\
pandas.Series.last_valid_index\
pandas.Series.list.__getitem__\
pandas.Series.list.flatten\
pandas.Series.list.len\
pandas.Series.mask\
pandas.Series.mean\
pandas.Series.median\
pandas.Series.nbytes\
pandas.Series.ndim\
pandas.Series.nlargest\
pandas.Series.nsmallest\
pandas.Series.pipe\
pandas.Series.pop\
pandas.Series.prod\
pandas.Series.product\
pandas.Series.quantile\
pandas.Series.rename_axis\
pandas.Series.rolling\
pandas.Series.round\
pandas.Series.set_flags\
pandas.Series.shape\
pandas.Series.size\
pandas.Series.sparse\
pandas.Series.sparse.density\
pandas.Series.sparse.from_coo\
pandas.Series.sparse.npoints\
pandas.Series.sparse.sp_values\
pandas.Series.str.fullmatch\
pandas.Series.str.match\
pandas.Series.str.pad\
pandas.Series.str.repeat\
pandas.Series.str.slice\
pandas.Series.str.slice_replace\
pandas.Series.struct.dtypes\
pandas.Series.struct.explode\
pandas.Series.struct.field\
pandas.Series.to_csv\
pandas.Series.to_dict\
pandas.Series.to_frame\
pandas.Series.to_markdown\
pandas.Series.to_numpy\
pandas.Series.to_period\
pandas.Series.to_pickle\
pandas.Series.to_string\
pandas.Series.to_timestamp\
pandas.Series.to_xarray\
pandas.Series.transform\
pandas.Series.tz_convert\
pandas.Series.unstack\
pandas.Series.where\
pandas.Timedelta.as_unit\
pandas.Timedelta.ceil\
pandas.Timedelta.components\
pandas.Timedelta.days\
pandas.Timedelta.floor\
pandas.Timedelta.nanoseconds\
pandas.Timedelta.round\
pandas.Timedelta.to_timedelta64\
pandas.Timedelta.total_seconds\
pandas.Timedelta.view\
pandas.TimedeltaIndex.as_unit\
pandas.TimedeltaIndex.ceil\
pandas.TimedeltaIndex.days\
pandas.TimedeltaIndex.floor\
pandas.TimedeltaIndex.mean\
pandas.TimedeltaIndex.microseconds\
pandas.TimedeltaIndex.nanoseconds\
pandas.TimedeltaIndex.round\
pandas.TimedeltaIndex.seconds\
pandas.TimedeltaIndex.to_frame\
pandas.TimedeltaIndex.to_pytimedelta\
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.is_month_end\
pandas.Timestamp.is_month_start\
pandas.Timestamp.is_quarter_end\
pandas.Timestamp.is_quarter_start\
pandas.Timestamp.is_year_end\
pandas.Timestamp.is_year_start\
pandas.Timestamp.isocalendar\
pandas.Timestamp.month_name\
pandas.Timestamp.normalize\
pandas.Timestamp.now\
pandas.Timestamp.quarter\
pandas.Timestamp.replace\
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_period\
pandas.Timestamp.toordinal\
pandas.Timestamp.tz\
pandas.Timestamp.tz_convert\
pandas.Timestamp.tzname\
pandas.Timestamp.unit\
pandas.Timestamp.utcfromtimestamp\
pandas.Timestamp.utcnow\
pandas.Timestamp.utcoffset\
pandas.Timestamp.utctimetuple\
pandas.Timestamp.week\
pandas.Timestamp.weekofyear\
pandas.api.extensions.ExtensionArray._concat_same_type\
pandas.api.extensions.ExtensionArray._from_factorized\
pandas.api.extensions.ExtensionArray._from_sequence\
pandas.api.extensions.ExtensionArray._from_sequence_of_strings\
pandas.api.extensions.ExtensionArray._pad_or_backfill\
pandas.api.extensions.ExtensionArray._reduce\
pandas.api.extensions.ExtensionArray._values_for_argsort\
pandas.api.extensions.ExtensionArray._values_for_factorize\
pandas.api.extensions.ExtensionArray.argsort\
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.factorize\
pandas.api.extensions.ExtensionArray.fillna\
pandas.api.extensions.ExtensionArray.insert\
pandas.api.extensions.ExtensionArray.interpolate\
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.take\
pandas.api.extensions.ExtensionArray.unique\
pandas.api.extensions.ExtensionArray.view\
pandas.api.extensions.ExtensionDtype\
pandas.api.extensions.register_dataframe_accessor\
pandas.api.extensions.register_index_accessor\
pandas.api.extensions.register_series_accessor\
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_float\
pandas.api.types.is_float_dtype\
pandas.api.types.is_integer\
pandas.api.types.is_interval_dtype\
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_timedelta64_dtype\
pandas.api.types.pandas_dtype\
pandas.array\
pandas.arrays.IntervalArray\
pandas.arrays.IntervalArray.from_arrays\
pandas.arrays.IntervalArray.from_breaks\
pandas.arrays.IntervalArray.from_tuples\
pandas.arrays.IntervalArray.is_empty\
pandas.arrays.IntervalArray.left\
pandas.arrays.IntervalArray.length\
pandas.arrays.IntervalArray.mid\
pandas.arrays.IntervalArray.right\
pandas.arrays.IntervalArray.set_closed\
pandas.arrays.IntervalArray.to_tuples\
pandas.arrays.SparseArray\
pandas.bdate_range\
pandas.core.groupby.DataFrameGroupBy.__iter__\
pandas.core.groupby.DataFrameGroupBy.agg\
pandas.core.groupby.DataFrameGroupBy.aggregate\
pandas.core.groupby.DataFrameGroupBy.all\
pandas.core.groupby.DataFrameGroupBy.any\
pandas.core.groupby.DataFrameGroupBy.bfill\
pandas.core.groupby.DataFrameGroupBy.boxplot\
pandas.core.groupby.DataFrameGroupBy.corr\
pandas.core.groupby.DataFrameGroupBy.count\
pandas.core.groupby.DataFrameGroupBy.cummax\
pandas.core.groupby.DataFrameGroupBy.cummin\
pandas.core.groupby.DataFrameGroupBy.cumprod\
pandas.core.groupby.DataFrameGroupBy.cumsum\
pandas.core.groupby.DataFrameGroupBy.ffill\
pandas.core.groupby.DataFrameGroupBy.get_group\
pandas.core.groupby.DataFrameGroupBy.groups\
pandas.core.groupby.DataFrameGroupBy.indices\
pandas.core.groupby.DataFrameGroupBy.max\
pandas.core.groupby.DataFrameGroupBy.mean\
pandas.core.groupby.DataFrameGroupBy.min\
pandas.core.groupby.DataFrameGroupBy.nunique\
pandas.core.groupby.DataFrameGroupBy.pct_change\
pandas.core.groupby.DataFrameGroupBy.prod\
pandas.core.groupby.DataFrameGroupBy.quantile\
pandas.core.groupby.DataFrameGroupBy.rank\
pandas.core.groupby.DataFrameGroupBy.rolling\
pandas.core.groupby.DataFrameGroupBy.size\
pandas.core.groupby.DataFrameGroupBy.sum\
pandas.core.groupby.SeriesGroupBy.__iter__\
pandas.core.groupby.SeriesGroupBy.agg\
pandas.core.groupby.SeriesGroupBy.aggregate\
pandas.core.groupby.SeriesGroupBy.all\
pandas.core.groupby.SeriesGroupBy.any\
pandas.core.groupby.SeriesGroupBy.bfill\
pandas.core.groupby.SeriesGroupBy.count\
pandas.core.groupby.SeriesGroupBy.cummax\
pandas.core.groupby.SeriesGroupBy.cummin\
pandas.core.groupby.SeriesGroupBy.cumprod\
pandas.core.groupby.SeriesGroupBy.cumsum\
pandas.core.groupby.SeriesGroupBy.ffill\
pandas.core.groupby.SeriesGroupBy.get_group\
pandas.core.groupby.SeriesGroupBy.groups\
pandas.core.groupby.SeriesGroupBy.hist\
pandas.core.groupby.SeriesGroupBy.indices\
pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing\
pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing\
pandas.core.groupby.SeriesGroupBy.max\
pandas.core.groupby.SeriesGroupBy.mean\
pandas.core.groupby.SeriesGroupBy.min\
pandas.core.groupby.SeriesGroupBy.nlargest\
pandas.core.groupby.SeriesGroupBy.nsmallest\
pandas.core.groupby.SeriesGroupBy.nunique\
pandas.core.groupby.SeriesGroupBy.pct_change\
pandas.core.groupby.SeriesGroupBy.prod\
pandas.core.groupby.SeriesGroupBy.quantile\
pandas.core.groupby.SeriesGroupBy.rank\
pandas.core.groupby.SeriesGroupBy.rolling\
pandas.core.groupby.SeriesGroupBy.size\
pandas.core.groupby.SeriesGroupBy.sum\
pandas.core.resample.Resampler.__iter__\
pandas.core.resample.Resampler.aggregate\
pandas.core.resample.Resampler.apply\
pandas.core.resample.Resampler.asfreq\
pandas.core.resample.Resampler.count\
pandas.core.resample.Resampler.ffill\
pandas.core.resample.Resampler.get_group\
pandas.core.resample.Resampler.groups\
pandas.core.resample.Resampler.indices\
pandas.core.resample.Resampler.max\
pandas.core.resample.Resampler.mean\
pandas.core.resample.Resampler.min\
pandas.core.resample.Resampler.nunique\
pandas.core.resample.Resampler.prod\
pandas.core.resample.Resampler.quantile\
pandas.core.resample.Resampler.size\
pandas.core.resample.Resampler.std\
pandas.core.resample.Resampler.sum\
pandas.core.resample.Resampler.var\
pandas.core.window.ewm.ExponentialMovingWindow.corr\
pandas.core.window.ewm.ExponentialMovingWindow.cov\
pandas.core.window.ewm.ExponentialMovingWindow.mean\
pandas.core.window.ewm.ExponentialMovingWindow.std\
pandas.core.window.ewm.ExponentialMovingWindow.sum\
pandas.core.window.ewm.ExponentialMovingWindow.var\
pandas.core.window.expanding.Expanding.aggregate\
pandas.core.window.expanding.Expanding.apply\
pandas.core.window.expanding.Expanding.corr\
pandas.core.window.expanding.Expanding.count\
pandas.core.window.expanding.Expanding.cov\
pandas.core.window.expanding.Expanding.kurt\
pandas.core.window.expanding.Expanding.max\
pandas.core.window.expanding.Expanding.mean\