Closed
Description
Example from Wes' book:
In [1]: data = pd.DataFrame({'year':[1959,1959,1959,1959,1960,1960,1960,1960], '
quarter':[1,2,3,4,1,2,3,4]})
In [2]: data
Out[2]:
quarter year
0 1 1959
1 2 1959
2 3 1959
3 4 1959
4 1 1960
5 2 1960
6 3 1960
7 4 1960
In [3]: pd.PeriodIndex(year=data.year, quarter=data.quarter)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
...
C:\Anaconda\envs\devel\lib\site-packages\numpy\core\fromnumeric.pyc in repeat(a,
repeats, axis)
342 except AttributeError:
343 return _wrapit(a, 'repeat', repeats, axis)
--> 344 return repeat(repeats, axis)
345
346
TypeError: repeat() takes exactly 2 arguments (3 given)
The docstring of PeriodIndex says int or array for the year and quarter keywords, and indeed with arrays it does work:
In [4]: pd.PeriodIndex(year=data.year.values, quarter=data.quarter.values)
Out[4]:
<class 'pandas.tseries.period.PeriodIndex'>
[1959Q1, ..., 1960Q4]
Length: 8, Freq: Q
But it previously also worked for Series (I suppose when it was still a subclass?). So, should we keep the current behaviour or make it also work for Series?
In any case, a very strange error message that should be improved.