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[pycharm] PY-79381 Tables(Jupyter, DataView): add repr to fix rendering
GitOrigin-RevId: 8eb4fcea4985b505584c3dc15b8d7a90a4c2b694
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committed by
intellij-monorepo-bot
parent
9bfeaf8679
commit
3ac06e1f48
@@ -70,7 +70,7 @@ def display_data_csv(table, start_index, end_index):
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data = data.to_csv(na_rep = "NaN", sep=CSV_FORMAT_SEPARATOR, float_format=format)
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except AttributeError:
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pass
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print(__convert_to_df(data))
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print(repr(__convert_to_df(data)))
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__compute_sliced_data(table, ipython_display, start_index, end_index)
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@@ -80,7 +80,7 @@ def display_data_html(table, start_index=None, end_index=None):
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def display_data_csv(table, start_index=None, end_index=None):
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# type: (np.ndarray, int, int) -> None
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def ipython_display(data, format):
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print(__create_table(data, start_index, end_index).to_csv(na_rep ="None", sep=CSV_FORMAT_SEPARATOR, float_format=format))
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print(repr(__create_table(data, start_index, end_index).to_csv(na_rep ="None", sep=CSV_FORMAT_SEPARATOR, float_format=format)))
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__compute_data(table, ipython_display)
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@@ -91,7 +91,7 @@ def display_data_html(table, start_index=None, end_index=None):
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def display_data_csv(table, start_index=None, end_index=None):
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# type: (np.ndarray, int, int) -> None
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def ipython_display(data, format):
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print(__create_table(data, start_index, end_index).to_csv(na_rep ="None", sep=CSV_FORMAT_SEPARATOR, float_format=format))
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print(repr(__create_table(data, start_index, end_index).to_csv(na_rep ="None", sep=CSV_FORMAT_SEPARATOR, float_format=format)))
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__compute_data(table, ipython_display)
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@@ -89,7 +89,7 @@ def display_data_csv(table, start_index, end_index):
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data = data.to_csv(na_rep = "NaN", sep=CSV_FORMAT_SEPARATOR, float_format=format)
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except AttributeError:
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pass
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print(__convert_to_df(data))
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print(repr(__convert_to_df(data)))
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__compute_sliced_data(table, ipython_display, start_index, end_index)
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@@ -72,7 +72,7 @@ def display_data_html(table, start_index, end_index):
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def display_data_csv(table, start_index, end_index):
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# type: (Union[pl.Series, pl.DataFrame], int, int) -> None
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with __create_config():
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print(__write_to_csv(__get_df_slice(table, start_index, end_index)))
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print(repr(__write_to_csv(__get_df_slice(table, start_index, end_index))))
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def get_column_descriptions(table):
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