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inpandas-dev/pandas-stubs (press backspace or delete to remove)The stub writing guide says:
For default values, use the literal values of “simple” default values (None, bools, ints, bytes, strings, and floats).
Use the ellipsis literal ... in place of more complex ...
yangdanny97
- 1
- Opened yesterday
- #1292
Describe the bug A clear and concise description of what the bug is.
To Reproduce
sr = pd.Series(pd.bdate_range( 2023-01-03 , 2023-02-06 ))
check(assert_type(sr.shift(BDay(1)), TimestampSeries ), pd.Series, ...
loicdiridollou
- 2
- Opened yesterday
- #1291
Describe the bug
For example, when Thing is an Enum, series.eq(Thing.MEMBER) gives an error from mypy.
To Reproduce
Provide a minimal runnable pandas example that is not properly checked by the stubs. ...
cmp0xff
- 1
- Opened 3 days ago
- #1288
I m using IDEA/PyCharm for type checking, but from looking at the stubs this does seem to be an omission there.
I would expect slicing a Series or DataFrame to return something with all the same methods ...
OrangeDog
- 1
- Opened 3 days ago
- #1287
Describe the bug range objects supplied to the Cartesian product of MultiIndex.from_product should pass type checking:
import pandas as pd
mi = pd.MultiIndex.from_product(
[range(3), range(5)],
) ...
good first issue
MultiIndex
neutrinonerd3333
- 1
- Opened 4 days ago
- #1285
Describe the bug
I am having typing issues with defining include_groups=False inside pandas.core.groupby.DataFrameGroupBy.apply after
upgrading to the latest version of pandas-stubs (from 2.2.3.250527 ...
vanitak96
- 2
- Opened 5 days ago
- #1284
The github release https://github.com/pandas-dev/pandas-stubs/releases/tag/v2.0.3.250703 name starts with v2.0.3. It
should start with v2.3.0.
Quetute
- 2
- Opened 8 days ago
- #1281
Describe the bug Regression in the latest version
To Reproduce
df = pd.DataFrame({ category : [ A , A , B , B ], value : [10, 20, 30, 40]})
result = df.groupby( category , observed=True).apply(
...
zyassine
- 2
- Opened 23 days ago
- #1270
Opening this issue more as a discussion, I was doing some cleanup with the stubtest task and I have noticed that some of
the methods in pandas annotated with @final are not always annotated as such in ...
- 1
- Opened 27 days ago
- #1269
To Reproduce
import pandas as pd
df = pd.DataFrame({
group : [ A , A , B , B , C ],
value : [10, 15, 10, 25, 30]
})
def add_constant_to_mean(group: pd.DataFrame, constant: int) - pd.DataFrame: ...
schorlton-bugseq
- 2
- Opened 28 days ago
- #1266
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