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BUG: avoid specifying default coerce_timestamps in to_parquet #31652

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Merged
merged 3 commits into from
Feb 5, 2020
Merged

BUG: avoid specifying default coerce_timestamps in to_parquet #31652

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15181f9
BUG: avoid specifying default coerce_timestamps in to_parquet
jorisvandenbossche Feb 4, 2020
a0921b8
type + whatsnew
jorisvandenbossche Feb 4, 2020
e659169
Update doc/source/whatsnew/v1.1.0.rst
jorisvandenbossche Feb 4, 2020
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4 changes: 3 additions & 1 deletion doc/source/whatsnew/v1.1.0.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -180,7 +180,9 @@ I/O
- Bug in :meth:`read_json` where integer overflow was occuring when json contains big number strings. (:issue:`30320`)
- `read_csv` will now raise a ``ValueError`` when the arguments `header` and `prefix` both are not `None`. (:issue:`27394`)
- Bug in :meth:`DataFrame.to_json` was raising ``NotFoundError`` when ``path_or_buf`` was an S3 URI (:issue:`28375`)
-
- Bug in :meth:`DataFrame.to_parquet` overwriting pyarrow's default for
``coerce_timestamps``; following pyarrow's default allows writing nanosecond
timestamps with ``version="2.0"`` (:issue:`31652`).

Plotting
^^^^^^^^
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8 changes: 1 addition & 7 deletions pandas/io/parquet.py
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Expand Up @@ -85,7 +85,6 @@ def write(
df: DataFrame,
path,
compression="snappy",
coerce_timestamps="ms",
index: Optional[bool] = None,
partition_cols=None,
**kwargs,
Expand All @@ -103,17 +102,12 @@ def write(
table,
path,
compression=compression,
coerce_timestamps=coerce_timestamps,
partition_cols=partition_cols,
**kwargs,
)
else:
self.api.parquet.write_table(
table,
path,
compression=compression,
coerce_timestamps=coerce_timestamps,
**kwargs,
table, path, compression=compression, **kwargs,
)

def read(self, path, columns=None, **kwargs):
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7 changes: 7 additions & 0 deletions pandas/tests/io/test_parquet.py
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Expand Up @@ -564,6 +564,13 @@ def test_additional_extension_types(self, pa):
)
check_round_trip(df, pa)

@td.skip_if_no("pyarrow", min_version="0.14")
def test_timestamp_nanoseconds(self, pa):
# with version 2.0, pyarrow defaults to writing the nanoseconds, so
# this should work without error
df = pd.DataFrame({"a": pd.date_range("2017-01-01", freq="1n", periods=10)})
check_round_trip(df, pa, write_kwargs={"version": "2.0"})


class TestParquetFastParquet(Base):
@td.skip_if_no("fastparquet", min_version="0.3.2")
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