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fix: Use exact median implementation by default #619

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Merged
merged 4 commits into from
Apr 18, 2024
Merged

fix: Use exact median implementation by default #619

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3838811
fix: Use exact median implementation by default
TrevorBergeron Apr 17, 2024
79ce279
fix test_numeric_literal test
TrevorBergeron Apr 17, 2024
b7e8aa3
Merge remote-tracking branch 'github/main' into exact_median
TrevorBergeron Apr 18, 2024
dc85f8f
amend doc example
TrevorBergeron Apr 18, 2024
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amend doc example
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@TrevorBergeron
TrevorBergeron committed Apr 18, 2024
commit dc85f8fd31db4ce962970f2ab44ac11bab6b5cbc
4 changes: 3 additions & 1 deletion bigframes/dataframe.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2002,7 +2002,9 @@ def median(
else:
frame = self._drop_non_numeric()
if exact:
return frame.quantile()
result = frame.quantile()
result.name = None
return result
else:
block = frame._block.aggregate_all_and_stack(agg_ops.median_op)
return bigframes.series.Series(block.select_column("values"))
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6 changes: 3 additions & 3 deletions third_party/bigframes_vendored/pandas/core/frame.py
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Expand Up @@ -4500,9 +4500,9 @@ def median(self, *, numeric_only: bool = False, exact: bool = True):
Finding the median value of each column.

>>> df.median()
A 1
B 2
dtype: Int64
A 2.0
B 3.0
dtype: Float64

Args:
numeric_only (bool. default False):
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