Comments (4)
Dr-Irv
commented on August 23, 2024
Can you provide an example?
from pandas-stubs.
bashtage
commented on August 23, 2024
import numpy as np
import pandas as pd
df = pd.DataFrame({"a":[10,20,30], "b":[20,40,60], "c":[30,60,90]})
iloc = np.argmin(np.random.standard_normal(3))
df.iloc[iloc]produces
exp.py:6: error: No overload variant of "__getitem__" of "_iLocIndexerFrame" matches argument type "signedinteger[_64Bit]"
exp.py:6: note: Possible overload variants:
exp.py:6: note: def __getitem__(self, Tuple[int, int]) -> Union[str, bytes, date, datetime, timedelta, bool, int, float, complex, Timestamp, Timedelta]
exp.py:6: note: def __getitem__(self, int) -> Series[Any]
exp.py:6: note: def __getitem__(self, Tuple[Union[Union[slice, ndarray[Any, dtype[signedinteger[_64Bit]]], Index, List[int], Series[int]], Union[Series[bool], ndarray[Any, dtype[bool_]], List[bool]]], int]) -> Series[Any]
exp.py:6: note: def __getitem__(self, Tuple[int, Union[Union[slice, ndarray[Any, dtype[signedinteger[_64Bit]]], Index, List[int], Series[int]], Union[Series[bool], ndarray[Any, dtype[bool_]], List[bool]]]]) -> Series[Any]
exp.py:6: note: def __getitem__(self, Union[Union[slice, ndarray[Any, dtype[signedinteger[_64Bit]]], Index, List[int], Series[int]], Union[Series[bool], ndarray[Any, dtype[bool_]], List[bool]], Tuple[Union[Union[slice, ndarray[Any, dtype[signedinteger[_64Bit]]], Index, List[int], Series[int]], Union[Series[bool], ndarray[Any, dtype[bool_]], List[bool]]], Union[Union[slice, ndarray[Any, dtype[signedinteger[_64Bit]]], Index, List[int], Series[int]], Union[Series[bool], ndarray[Any, dtype[bool_]], List[bool]]]]]) -> DataFrame
Found 1 error in 1 file (checked 1 source file)
from pandas-stubs.
bashtage
commented on August 23, 2024
Needs SupportsInt to handle range of values possible.
These
exp.py:6: note: def __getitem__(self, Tuple[int, int]) -> Union[str, bytes, date, datetime, timedelta, bool, int, float, complex, Timestamp, Timedelta]
exp.py:6: note: def __getitem__(self, int) -> Series[Any]
Should probably be something like
exp.py:6: note: def __getitem__(self, Tuple[typing.SupportsInt, typing.SupportsInt]) -> Union[str, bytes, date, datetime, timedelta, bool, int, float, complex, Timestamp, Timedelta]
exp.py:6: note: def __getitem__(self, typing.SupportsInt) -> Series[Any]
from pandas-stubs.
bashtage
commented on August 23, 2024
In [7]: isinstance(np.int64(0), typing.SupportsInt)
Out[7]: True
from pandas-stubs.
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from pandas-stubs.