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fix: fix value_counts column label for normalize=True #245

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Merged
merged 6 commits into from
Dec 6, 2023
Merged

fix: fix value_counts column label for normalize=True #245

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f4a0607
fix: fix value_counts column label for normalize=True
TrevorBergeron Nov 30, 2023
74f63bc
amend series value_counts test
TrevorBergeron Nov 30, 2023
5561feb
fix another value_counts test
TrevorBergeron Dec 1, 2023
60f69d7
Merge branch 'main' into proportion
TrevorBergeron Dec 4, 2023
9404a67
Merge branch 'main' into proportion
TrevorBergeron Dec 5, 2023
7ac3109
Merge branch 'main' into proportion
TrevorBergeron Dec 6, 2023
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4 changes: 3 additions & 1 deletion bigframes/core/block_transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -353,7 +353,9 @@ def value_counts(
)
]
)
return block.select_column(count_id).with_column_labels(["count"])
return block.select_column(count_id).with_column_labels(
["proportion" if normalize else "count"]
)


def pct_change(block: blocks.Block, periods: int = 1) -> blocks.Block:
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6 changes: 2 additions & 4 deletions tests/system/small/test_dataframe.py
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Expand Up @@ -3453,6 +3453,8 @@ def test_df_to_orc(scalars_df_index, scalars_pandas_df_index):
],
)
def test_df_value_counts(scalars_dfs, subset, normalize, ascending, dropna):
if pd.__version__.startswith("1."):
pytest.skip("pandas 1.x produces different column labels.")
scalars_df, scalars_pandas_df = scalars_dfs

bf_result = (
Expand All @@ -3464,10 +3466,6 @@ def test_df_value_counts(scalars_dfs, subset, normalize, ascending, dropna):
subset, normalize=normalize, ascending=ascending, dropna=dropna
)

# Older pandas version may not have these values, bigframes tries to emulate 2.0+
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Let's remove this from test_series as well https://github.com/search?q=repo%3Agoogleapis%2Fpython-bigquery-dataframes%20%22Older%20pandas%20version%20may%20not%20have%20these%20values%22&type=code

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done

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Thanks, just one one more test test_value_counts_w_cut in test_series.py

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done

pd_result.name = "count"
pd_result.index.names = bf_result.index.names

pd.testing.assert_series_equal(
bf_result, pd_result, check_dtype=False, check_index_type=False
)
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11 changes: 4 additions & 7 deletions tests/system/small/test_series.py
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Expand Up @@ -1940,23 +1940,23 @@ def test_cummax_int(scalars_df_index, scalars_pandas_df_index):


def test_value_counts(scalars_dfs):
if pd.__version__.startswith("1."):
pytest.skip("pandas 1.x produces different column labels.")
scalars_df, scalars_pandas_df = scalars_dfs
col_name = "int64_too"

bf_result = scalars_df[col_name].value_counts().to_pandas()
pd_result = scalars_pandas_df[col_name].value_counts()

# Older pandas version may not have these values, bigframes tries to emulate 2.0+
pd_result.name = "count"
pd_result.index.name = col_name

pd.testing.assert_series_equal(
bf_result,
pd_result,
)


def test_value_counts_w_cut(scalars_dfs):
if pd.__version__.startswith("1."):
pytest.skip("value_counts results different in pandas 1.x.")
scalars_df, scalars_pandas_df = scalars_dfs
col_name = "int64_col"

Expand All @@ -1965,9 +1965,6 @@ def test_value_counts_w_cut(scalars_dfs):

bf_result = bf_cut.value_counts().to_pandas()
pd_result = pd_cut.value_counts()
# Older pandas version may not have these values, bigframes tries to emulate 2.0+
pd_result.name = "count"
pd_result.index.name = col_name
pd_result.index = pd_result.index.astype(pd.Int64Dtype())

pd.testing.assert_series_equal(
Expand Down