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Description
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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(optional) I have confirmed this bug exists on the master branch of pandas.
Code Sample, a copy-pastable example
import pandas as pd
import numpy as np
example = pd.DataFrame({'a': [1, 2, 3], 'b': [4, np.nan, 6]})
example.dropna()
Problem description
Currently, the return type of pandas.DataFrame.dropna
is missing. The documentation correctly states that the return type should be Optional[DataFrame]
, but the function definition lacks a return type, so type checkers (in my case pyright) incorrectly throw the type as None
.
The issue occurs in the source code here:
Line 5041 in 3e89b4c
def dropna(self, axis=0, how="any", thresh=None, subset=None, inplace=False): |
It should be typed as seen in pandas.DataFrame.drop_duplicates
, seen below:
Lines 5183 to 5189 in 3e89b4c
def drop_duplicates( | |
self, | |
subset: Optional[Union[Hashable, Sequence[Hashable]]] = None, | |
keep: Union[str, bool] = "first", | |
inplace: bool = False, | |
ignore_index: bool = False, | |
) -> Optional[DataFrame]: |
More broadly, it seems that the dropna
function is missing typing for its arguments as well.
Expected Output
The return type of pandas.DataFrame.dropna
should be Optional[DataFrame]
I don't think this should be too hard to fix. I'll work in it tonight and submit a PR in the next day or two.
Output of pd.show_versions()
INSTALLED VERSIONS
commit : 3e89b4c
python : 3.9.1.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-33-generic
Version : #36-Ubuntu SMP Wed Dec 9 09:14:40 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_GB.UTF-8
LOCALE : en_GB.UTF-8
pandas : 1.2.0
numpy : 1.19.4
pytz : 2020.5
dateutil : 2.8.1
pip : 20.2.2
setuptools : 51.0.0
Cython : None
pytest : 6.2.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : 7.19.0
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None