Skip to content

chore: fix unit tests on pandas 3.0 #2317

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
tswast merged 1 commit into from
Dec 9, 2025
Merged

chore: fix unit tests on pandas 3.0 #2317

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion bigframes/operations/datetimes.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@
from bigframes.core import log_adapter
import bigframes.operations as ops

_ONE_DAY = pandas.Timedelta("1d")
_ONE_DAY = pandas.Timedelta("1D")
_ONE_SECOND = pandas.Timedelta("1s")
_ONE_MICRO = pandas.Timedelta("1us")
_SUPPORTED_FREQS = ("Y", "Q", "M", "W", "D", "h", "min", "s", "ms", "us")
Expand Down
18 changes: 18 additions & 0 deletions tests/unit/test_local_data.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -44,6 +44,12 @@
def test_local_data_well_formed_round_trip():
local_entry = local_data.ManagedArrowTable.from_pandas(pd_data)
result = pd.DataFrame(local_entry.itertuples(), columns=pd_data.columns)
result = result.assign(
**{
col: result[col].astype(pd_data_normalized[col].dtype)
for col in pd_data_normalized.columns
}
)
pandas.testing.assert_frame_equal(pd_data_normalized, result, check_dtype=False)


Expand Down Expand Up @@ -118,6 +124,12 @@ def test_local_data_well_formed_round_trip_chunked():
as_rechunked_pyarrow = pa.Table.from_batches(pa_table.to_batches(max_chunksize=2))
local_entry = local_data.ManagedArrowTable.from_pyarrow(as_rechunked_pyarrow)
result = pd.DataFrame(local_entry.itertuples(), columns=pd_data.columns)
result = result.assign(
**{
col: result[col].astype(pd_data_normalized[col].dtype)
for col in pd_data_normalized.columns
}
)
pandas.testing.assert_frame_equal(pd_data_normalized, result, check_dtype=False)


Expand All @@ -126,6 +138,12 @@ def test_local_data_well_formed_round_trip_sliced():
as_rechunked_pyarrow = pa.Table.from_batches(pa_table.slice(0, 4).to_batches())
local_entry = local_data.ManagedArrowTable.from_pyarrow(as_rechunked_pyarrow)
result = pd.DataFrame(local_entry.itertuples(), columns=pd_data.columns)
result = result.assign(
**{
col: result[col].astype(pd_data_normalized[col].dtype)
for col in pd_data_normalized.columns
}
)
pandas.testing.assert_frame_equal(
pd_data_normalized[0:4].reset_index(drop=True),
result.reset_index(drop=True),
Expand Down