feat: Add transpose support for small homogeneously typed DataFrames. #621
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api: bigquery
TrevorBergeron
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milkshakeiii
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chelsea-lin
milkshakeiii
approved these changes
Apr 22, 2024
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| Reflect the DataFrame over its main diagonal by writing rows as columns | ||
| and vice-versa. The property :attr:`.T` is an accessor to the method | ||
| :meth:`transpose`. |
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Can we add something here about the dtypes requirements? (Columns must be coerceable to a common type) (I know it's below but seems important enough to be up top.)
| @@ -2465,6 +2465,24 @@ def test_df_describe(scalars_dfs): | |||
| ).all() | |||
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| def test_df_transpose(): | |||
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If it's a cheap test, we could add a check that we raise TypeError for mixing strs and floats.
bigframes/core/blocks.py
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| @@ -1570,6 +1575,52 @@ def melt( | |||
| index_columns=[index_id], | |||
| ) | |||
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| def transpose(self) -> Block: | |||
| """Transpose the block. Will fail if dtypes incompatible or too many rows""" | |||
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Suggest we change "dtypes incompatible" to "dtypes cannot be coerced all to a common type."
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Fixes #<issue_number_goes_here> 🦕