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DS-5894 Sorting by index breaks table output

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Fixed the case, when a dataframe has RangeIndex. In that case, "level" argument in "sort_index" is not applicable.

GitOrigin-RevId: 9c2744dffee76a0a0a601e28daec6915e89d7a0e
This commit is contained in:
Natalia.Murycheva
2023-11-03 19:51:34 +00:00
committed by intellij-monorepo-bot
parent 3e2f202f25
commit dacfc63c4b
1 changed files with 49 additions and 11 deletions
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python/helpers/pydev/pydev_tests_tables/test_ds_sorting_commands/test_pandas.py
+49 -11
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@@ -26,24 +26,62 @@ def sorted_table():
return df
def test_commands(unsorted_table, sorted_table):
def test_sorting_series():
df = pd.Series([1, 3, 2])
sorting_command = "df.sort_values(ascending=[True])"
series = eval_expression(sorting_command, {}, {"df": df})
new_series = pd.Series([1, 2, 3], index=[0, 2, 1])
actual_series = eval_expression(sorting_command, {}, {"df": df})
assert series.equals(new_series)
expected_series = pd.Series([1, 2, 3], index=[0, 2, 1])
assert actual_series.equals(expected_series)
def test_sorting_df_by_several_columns(unsorted_table, sorted_table):
df = unsorted_table
sorting_command = "df.sort_values(by=[df.columns[0], df.columns[1]], ascending=[True, True])"
table = eval_expression(sorting_command, {}, {"df": df})
new_table = sorted_table
actual_df = eval_expression(sorting_command, {}, {"df": df})
assert table.equals(new_table)
expected_df = sorted_table
assert actual_df.equals(expected_df)
def test_sorting_df_by_several_indexes(unsorted_table, sorted_table):
df = unsorted_table
df.set_index(['column 0', 'column 1'], inplace=True)
new_table.set_index(['column 0', 'column 1'], inplace=True)
sorting_command = "df.sort_index(level=[0,1], ascending=[True,True])"
table = eval_expression(sorting_command, {}, {"df": df})
assert table.equals(new_table)
expected_df = sorted_table
expected_df.set_index(['column 0', 'column 1'], inplace=True)
sorting_command = "df.sort_index(level=[0,1], ascending=[True,True])"
actual_df = eval_expression(sorting_command, {}, {"df": df})
assert actual_df.equals(expected_df)
def test_sorting_indexes_range_type():
df = pd.DataFrame({'A': [1, 2, 3, 4]},
index=pd.RangeIndex(start=0, stop=4, step=1))
expected_df = pd.DataFrame({'A': [4, 3, 2, 1]},
index=pd.RangeIndex(start=3, stop=-1, step=-1))
sorting_command = "df.sort_index(ascending=False)"
actual_df = eval_expression(sorting_command, {}, {"df": df})
assert actual_df.equals(expected_df)
def test_sorting_multi_index_with_range_index():
arrays = [pd.RangeIndex(start=0, stop=3, step=1), ['A', 'B', 'B']]
multi_index = pd.MultiIndex.from_arrays(arrays, names=('Range', 'Letter'))
df = pd.DataFrame({'Values': [10, 20, 30]}, index=multi_index)
sorted_indexes = [[1, 2, 0], ['B', 'B', 'A']]
expected_df = pd.DataFrame({'Values': [20, 30, 10]}, index=sorted_indexes)
sorting_command = "df.sort_index(level=[1,0], ascending=[False, True])"
actual_df = eval_expression(sorting_command, {}, {"df": df})
assert actual_df.equals(expected_df)