Comments (3)
I've split this into 3 issues.
- One for
usecols
onread_csv()
(we should annotate that). That will be this one. - One for
read_xml()
#55 - One for
check_index_type
onassert_frame_equal()
#56
from pandas-stubs.
You're using the older version of pandas-stubs
that was maintained separately. (1.2.0.62). Can you install the new version, which will have a prefix of 1.4 and see if you can replicate?
We currently don't have the argument usecols
typed, so I think the newer version will make this particular error go away.
from pandas-stubs.
Thanks for your answer. I updated pandas-stubs
to 1.4 and this issue went away. However, I now have the following errors :
error: Module has no attribute "read_xml"; maybe "read_html" or "read_excel"?
error: Unexpected keyword argument "check_index_type" for "assert_frame_equal"
with this code:
>>> import pandas as pd
>>> pd.read_xml('path/to/file', xpath=xpath, stylesheet=xsl)
>>> pd.testing.assert_frame_equal(pd.DataFrame(), pd.DataFrame(), check_index_type=False)
I updated pandas to make it compatible with pandas-stub 1.4, so my dependencies are now:
INSTALLED VERSIONS
------------------
commit : 4bfe3d07b4858144c219b9346329027024102ab6
python : 3.10.4.final.0
python-bits : 64
OS : Darwin
OS-release : 21.5.0
Version : Darwin Kernel Version 21.5.0: Tue Apr 26 21:08:22 PDT 2022; root:xnu-8020.121.3~4/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : None
LANG : None
LOCALE : fr_FR.UTF-8
pandas : 1.4.2
numpy : 1.23.0
pytz : 2022.1
dateutil : 2.8.2
pip : 22.1.2
setuptools : 62.6.0
Cython : None
pytest : 7.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.3
jinja2 : 3.1.2
IPython : 8.4.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.1
matplotlib : 3.5.2
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : 1.4.39
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
from pandas-stubs.
Related Issues (20)
- Allow 'integer' in select_dtypes include argument HOT 1
- Unexpected, Misleading mypy Failures After pandas-stubs Update: DataFrame.from_dict() Behavior HOT 5
- Should from_dict be annotated to allow sequence data values? HOT 8
- Index.rename() should return Self HOT 3
- Annotation of `get_loc` does no longer fit to `iloc` resulting in many false positive type errors. HOT 2
- Can't pass `dict` to `DataFrame.apply` HOT 1
- `Series.map()` needs type for `arg` and result HOT 5
- pd.notna does not work with pyright strict mode. HOT 1
- `df.merge` partially unknown.
- `Series.astype` is partially unknown. HOT 2
- `df.drop` signature does not capture all constraints HOT 1
- Type of "apply" is partially unknown HOT 6
- Switch `to_timedelta` argument type from `list` to `Sequence` HOT 1
- Invalid typing for `df.to_csv` HOT 1
- read_csv: parameter usecols has wrong type hint HOT 17
- GroupBy[Series].count() should have return type Series[int] HOT 1
- Check incorrect when using a TimestampSeries and YearEnd from pandas.tseries.offsets HOT 1
- Pandas stubs forces numpy <2.0.0 for python < 3.12 HOT 1
- Restore nightly CI build due to new pandas version (3.0.0)
- Series constructor does not accept TypedDict HOT 1
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from pandas-stubs.