Comments (2)
With mask
, the exception is instead: '_NoDefault' object is not subscriptable
from pandas.
closed: the error is because it seems that the axis argument only applies to other, and it fails here since other is a scalar.
from pandas.
Related Issues (20)
- BUG: DatetimeIndex.is_year_start breaks on custom business days frequencies bigger then `1C`
- DEPR: Deprecate method argument of reindex_like HOT 4
- Potential regression induced by "CLN: Simplify map_infer_mask (#58483)" HOT 1
- Potential regression induced by "CLN: Enforce read_csv(keep_date_col, parse_dates) deprecations (#58622)"
- ENH: Also apply formatters to the index in `to_latex` HOT 3
- BUG: In `main`, using `resample().interpolate(inplace=True)` raises an exception HOT 7
- BUG: edge case when masking "null[pyarrow]" pd.Series HOT 2
- BUG: .max() raises exception on Series with object dtype and mixture of Timestamp and NaT: TypeError: '>=' not supported between instances of 'Timestamp' and 'float' HOT 3
- BUG: numerical inconsistency in calculating rolling kurtosis HOT 4
- BUG: No kwargs in df.apply(raw=True, engine="numba") HOT 5
- BUG: pd.merge fail with numpy.uintc on Windows HOT 2
- BUG: scipy rolling exponential is breaking MultiIndex columns HOT 2
- BUG: ChainedAssignmentError link to documentation will break? HOT 2
- BUG: joining dataframes with multi-index and None index label results in AssertionError HOT 7
- BUG: `margins` value incorrect with `count` aggfunc and no index HOT 7
- BUG: NotImplementedError: `mod` not implemented in `pandas 2.2.2` with `int64[pyarrow]` HOT 2
- BUG: DatetimeIndex.is_year_start breaks on BusinessMonthBegin frequency
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from pandas.