From dc299aa56075ffd4154ce67e3ddd26cb0a15358a Mon Sep 17 00:00:00 2001 From: Tuhin Sharma Date: Mon, 14 Oct 2024 15:08:30 +0530 Subject: [PATCH 1/2] DOC: fix SA01 for pandas.core.resample.Resampler.ohlc --- ci/code_checks.sh | 1 - pandas/core/groupby/groupby.py | 6 ++++++ 2 files changed, 6 insertions(+), 1 deletion(-) diff --git a/ci/code_checks.sh b/ci/code_checks.sh index 1974c98a1d1ff..808885d0c66bc 100755 --- a/ci/code_checks.sh +++ b/ci/code_checks.sh @@ -124,7 +124,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \ -i "pandas.core.resample.Resampler.mean SA01" \ -i "pandas.core.resample.Resampler.min PR01,RT03,SA01" \ - -i "pandas.core.resample.Resampler.ohlc SA01" \ -i "pandas.core.resample.Resampler.prod SA01" \ -i "pandas.core.resample.Resampler.quantile PR01,PR07" \ -i "pandas.core.resample.Resampler.sem SA01" \ diff --git a/pandas/core/groupby/groupby.py b/pandas/core/groupby/groupby.py index 8dfef9e70db52..f12ded6045e80 100644 --- a/pandas/core/groupby/groupby.py +++ b/pandas/core/groupby/groupby.py @@ -3224,6 +3224,12 @@ def ohlc(self) -> DataFrame: DataFrame Open, high, low and close values within each group. + See Also + -------- + DataFrame.agg : Aggregate using one or more operations over the specified axis. + DataFrame.resample : Resample time-series data. + DataFrame.groupby : Group DataFrame using a mapper or by a Series of columns. + Examples -------- From 8fca551ad5155755b1d1e0f4c90e3b5b47dbd560 Mon Sep 17 00:00:00 2001 From: Tuhin Sharma Date: Thu, 17 Oct 2024 00:37:52 +0530 Subject: [PATCH 2/2] DOC: fix SA01 for .ohlc methods --- ci/code_checks.sh | 2 -- 1 file changed, 2 deletions(-) diff --git a/ci/code_checks.sh b/ci/code_checks.sh index 808885d0c66bc..427938c3c5fba 100755 --- a/ci/code_checks.sh +++ b/ci/code_checks.sh @@ -104,7 +104,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.core.groupby.DataFrameGroupBy.indices SA01" \ -i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \ -i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \ - -i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \ -i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \ -i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \ -i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \ @@ -114,7 +113,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \ -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \ -i "pandas.core.groupby.SeriesGroupBy.nth PR02" \ - -i "pandas.core.groupby.SeriesGroupBy.ohlc SA01" \ -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \ -i "pandas.core.groupby.SeriesGroupBy.sem SA01" \ -i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \