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DS-5198 Support enhanced tooltips for Polars tables
Added the Statistics tooltip for Polars DataFrames. Merge-request: IJ-MR-110003 Merged-by: Natalia Murycheva <natalia.murycheva@jetbrains.com> GitOrigin-RevId: ba829e711772837081f2eeadd00775542720086d
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@@ -76,7 +76,7 @@ def display_data(table, max_cols, max_colwidth, start, end):
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pd.set_option('display.max_colwidth', _jb_max_colwidth)
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def get_column_desciptions(table, max_cols, max_colwidth):
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def get_column_descriptions(table, max_cols, max_colwidth):
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# type: (pd.DataFrame, int, int) -> str
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described_df = __get_describe_df(table)
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@@ -45,3 +45,21 @@ def display_data(table, max_cols, max_colwidth, start, end):
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def __create_config():
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# type: () -> pl.Config
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return pl.Config(fmt_str_lengths=1000, set_tbl_cols=-1)
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def get_column_descriptions(table, max_cols, max_colwidth):
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# type: (pl.DataFrame, int, int) -> str
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described_df = __get_describe_df(table)
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return get_data(described_df, max_cols, max_colwidth, None, None)
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# Polars compute NaN-s in describe. So, we don't need get_value_counts for Polars
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def get_value_counts(table, max_cols, max_colwidth):
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# type: (pl.DataFrame, int, int) -> str
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return
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def __get_describe_df(table):
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# type: (pl.DataFrame) -> pl.DataFrame
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return table.describe(percentiles=(0.05, 0.25, 0.5, 0.75, 0.95))
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