Pandas BUG: merge_asof with non-unique on, left_on, or right_on, raises AttributeError: 'DataFrame' object has no attribute 'dtype'

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: Excelwriter doens't write first df in append mode and if_sheet_exists='replace'

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: IndexError: .iloc requires numeric indexers, got [0 1 2 3]

Pandas version checks[x] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas Nullable Int64 column changes type after some (cumsum) operations

Codeimport pandas as pds1 = pd.Series([1, 2, 3, 4], dtype='Int64')s2 = pd.Series([1, 2, float('nan'), 3, 4], dtype='Int6...

Pandas BUG: loc raising error for MultiIndex with bool indexer _and first level of object dtype_

Pandas version checks[X] I have checked that this issue has not already been reported.[ ] I have confirmed this bug exis...

Pandas BUG: MagicMocks are interpretated as lists, making impossible to patch functions used in Series.apply in version 1.3.x.

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: read_csv raises exception if first row is incomplete

xref #4749xref #8985This is a bit like issue #4749, but the conditions are different.I have been able to reproduce it by...

Pandas BUG: pd.DataFrame.round() not working with NumPy floating point datatypes

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: Downcasting neither warned against nor discussed in documentation

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas CI use ubuntu 22.04

xref https://github.com/pandas-dev/pandas/pull/50113#issuecomment-1341589258Currently 20.04 is pinned to fix CIComment F...

Pandas BUG: CustomBusinessHour is to capturing last business hour defined by end parameter

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: when flooring, ambiguous parameter unnecessarily used (and raising Error)

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas TST: Subclasses of ExcelWriter should not be allowed to add new public attributes

Ref: #48577I think subclasses of ExcelWriter (e.g. XlsxWriter) should not be allowed to add any public attributes so tha...

Pandas CI: old matplotlib being pulled (again)

Another day, another CI failureHere's the difference between a recent green and red run: ...

Pandas BUG: reindex __cinit__() got multiple values for keyword argument 'verify_integrity'

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: to_dict() unexpectedly casts np.float32 to python float

EDIT: After more investigation, I found out the root cause of the issue described below: https://github.com/pandas-dev/p...

Pandas BUG: pd.DataFrame.replace() with value=pd.NA in pandas v1.5.0 and v1.5.1 crushes python kernel

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas BUG: chaining style.concat overwrites each other

Pandas version checks[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exis...

Pandas pyodbc.Error: ('07006', '[07006] [Microsoft][ODBC Driver 17 for SQL Server]Restricted data type attribute violation (0)

Hi there, I am trying to upload data from a csv file to sql using pandas.this is part of the code:df.to_sql("data_transa...

Pandas Feature request: option for get_dummies to only make new columns for non-numerical values

Code Sample, a copy-pastable example if possibleConsider the dataframe df = pd.DataFrame([{'apple': 1, 'pear':'a', 'carr...
上一页 下一页
.