Currently date_range accepts string flags for freq=.dateutil (which is already a pandas dependency) has constants for YE...

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...

In pandas 0.17.1, grouping a DatetimeIndex with monthly frequency produced labels keyed at the start of the month, and n...

[X] I have checked that this issue has not already been reported.[X] I have confirmed this bug exists on the latest vers...

[x] I have checked that this issue has not already been reported.[x] I have confirmed this bug exists on the latest vers...

[x] I have checked that this issue has not already been reported.[x] I have confirmed this bug exists on the latest vers...

[x] I have checked that this issue has not already been reported.[x] I have confirmed this bug exists on the latest vers...

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...

This is the tracker for the 2.0.1 release. I think we can have it in around one month, unless some problem in 2.0 requir...

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Research[X] I have searched the [pandas] tag on StackOverflow for similar questions.[X] I have asked my usage related qu...

astype/convert_objects should be able to do this type of coercion from string complex lookingIn [45]: Series(['1.0+5j','...

df = pd.DataFrame([[1, 2, 3], [2, 3, 3], [1, 4, 3], [1, 5, 4], [2, 6, 4]])def onlycol0(group): return group[[group.co...

I'm recoding multiple columns in a dataframe and have come across a strange result that I can't quite figure out. I'm pr...

This works:df = pd.DataFrame({'A': [1, 2, 1, 2, 1, 2, 3], 'B': [1, 1, 1, 2, 2, 2, 2]})df.groupby('B').agg(pd.Series.mode...

When I run this code on 0.17.0 on Python 3.5.0import pandas as pdd = pd.DataFrame(data=[[2, 1]])print(d.index)print((d. ...

Code Sample, a copy-pastable example if possibleimport pandas as pdimport numpy as npindex = pd.date_range('10/1/1999', ...

Code Sample, a copy-pastable example if possible# Your code hereimport pandas as pdimport numpy as npdef processCols(x):...