Related Issues (20)
- BUG: Parameter converters when using the read function. HOT 2
- BUG: read_parquet wrongly returns empty index if asked to read empty column list HOT 3
- ENH/BUG: pd.date_range() still defaults to nanosecond resolution HOT 1
- ENH: New Name for "numpy_nullable" dtype_backend HOT 17
- BUG: `DatetimeIndex.union` gives wrong result with "datetime64[us]"
- BUILD: Pandas 1.2.5 build no longer works HOT 14
- ENH: .isin() method should use __contains__ rather than __iter__ for user-defined classes to determine presence. HOT 6
- BUG: `pd.read_excel` gives uninformative error for protected files HOT 2
- BUG: eval fails to process expression when one column name starts with a digit or some special characters HOT 1
- BUG: pandas dataframe column definition or mapping does not cater for upper case values. HOT 1
- BUG: HOT 2
- BUG: Limit param of fillna method does not work for pd.Int64Dtype() HOT 2
- BUG: Failed to import pandas <2.1.0 witn numpy >=2.0.0 HOT 4
- BUG: `Series.clip` does not work with scalar numpy arrays. HOT 5
- BUG: `DataFrame.to_numpy()` unnecessarily upcasts to `object` dtype. HOT 1
- ENH: Python 3.13 free-threading support HOT 4
- BUG: Pandas does not validate some parameters properly when reading CSVs and it causes segmentation faults
- BUG:
- BUG: `DataFrame.eval` fails with TypeError with multiline expr but works when `eval` line by line
- BUG: `DataFrame.sparse.from_spmatrix` hard codes an invalid ``fill_value`` for certain subtypes
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from pandas.