milesgranger commented on code in PR #14729:
URL: https://github.com/apache/arrow/pull/14729#discussion_r1033966041
##########
python/pyarrow/tests/test_pandas.py:
##########
@@ -2164,9 +2172,17 @@ def test_nested_large_list(self):
s = (pa.array([[[1, 2, 3], [4]], None],
type=pa.large_list(pa.large_list(pa.int64())))
.to_pandas())
- tm.assert_series_equal(
- s, pd.Series([[[1, 2, 3], [4]], None], dtype=object),
- check_names=False)
+
+ # pandas.testing generates a
+ # DeprecationWarning: elementwise comparison failed
+ # numpy.VisibleDeprecationWarning: Creating an ndarray
+ # from ragged nested sequences ...
Review Comment:
Hmm, actually, when making an example for the issue to report, I _think_ it
maybe how our implementation of converting a variable list array to pandas:
```python
import pyarrow as pa
import pandas as pd
import pandas.testing as tm
s = (pa.array([[[1, 2, 3], [4]], None],
type=pa.large_list(pa.large_list(pa.int64())))
.to_pandas())
# This will raise the warning
tm.assert_series_equal(
s, pd.Series([[[1, 2, 3], [4]], None], dtype=object),
check_names=False)
# but so will this:
s.equals(pd.Series([[[1, 2, 3], [4]], None], dtype=object))
# this will not
tm.assert_series_equal(
pd.Series([[[1, 2, 3], [4]], None], dtype=object),
pd.Series([[[1, 2, 3], [4]], None], dtype=object),
check_names=False)
```
Therefore I think a new issue to be made to correct this on our end after
all. :thinking:
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