Code Sample, a copy-pastable example if possibleIn [2]: idx = pd.date_range(start='2010-08-08', end='2010-08-15')In [3]:...

Example :df = pd.DataFrame([[np.nan,0],[0,1]])df.groupby(0)[1].cumsum()out:0 -11 1which is incorrectdf = pd.DataFrame([[...

Maybe it makes sense to improve the documentation on the distinction of PeriodIndex vs. DatetimeIndex, especially regard...

see SO hereThese are naturally duplicated indexes. These are handled in the underyling code using a pretty inefficient m...

In R, the summary(data) function provides counts for categorical data of the most frequent values. For datetime and nume...

HDFStore.append_to_multiple only lets your specify data_columns for the "selector" table; all other tables you make with...

From SO: http://stackoverflow.com/questions/24247255/idiomatic-multiindex-column-assignment-in-pandas/24247513#24247513h...

http://stackoverflow.com/questions/20888226/pandas-hdfstore-tables-doesnt-accept-multiindex-columns/20888732#20888732Com...

Add dropna and sequentially parameters to DataFrame.unstack(), to match DataFrame.stack(). For backwards compatibility, ...

http://stackoverflow.com/questions/27074469/memory-leak-in-python-pandas-reshuffling-indexIn [1]: df = DataFrame(np.rand...

Derived from #7299. numpy.insert can accept multiple elements / indices as of v1.8.http://docs.scipy.org/doc/numpy/refer...

Feature Type[ ] Adding new functionality to pandas[X] Changing existing functionality in pandas[ ] Removing existing fun...

Pandas version checks[X] I have checked that the issue still exists on the latest versions of the docs on main hereLocat...

Initially, this was fixed in https://github.com/pandas-dev/pandas/pull/47646 but had to be reverted to rename inclusive ...

Code Sample, from Jupyter notebookimport pandas as pdimport datetimeexample_multilevel_dict = { (0, datetime.date(2018,...

from SOdf = pd.DataFrame({'a':[1,2], 'b':[2,3]})print (df) a b0 1 21 2 3And output is wrong:print (df.apply(lambd...

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

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

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

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