Closed
Description
Code Sample, a copy-pastable example if possible
In [17]: series=pd.Series(range(10), pd.period_range(start='2000', periods=10, name='date', freq='M'))
In [18]: series
Out[18]:
date
2000-01 0
2000-02 1
2000-03 2
2000-04 3
2000-05 4
2000-06 5
2000-07 6
2000-08 7
2000-09 8
2000-10 9
Freq: M, dtype: int64
In [19]: series.index
Out[19]:
PeriodIndex(['2000-01', '2000-02', '2000-03', '2000-04', '2000-05', '2000-06',
'2000-07', '2000-08', '2000-09', '2000-10'],
dtype='int64', name='date', freq='M')
# Note name='date'
In [20]: series.resample('D').pad().index
Out[20]:
PeriodIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
'2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
'2000-01-09', '2000-01-10',
...
'2000-10-22', '2000-10-23', '2000-10-24', '2000-10-25',
'2000-10-26', '2000-10-27', '2000-10-28', '2000-10-29',
'2000-10-30', '2000-10-31'],
dtype='int64', length=305, freq='D')
# now no name
Expected Output
Out[20]:
PeriodIndex(['2000-01-01', '2000-01-02', '2000-01-03', '2000-01-04',
'2000-01-05', '2000-01-06', '2000-01-07', '2000-01-08',
'2000-01-09', '2000-01-10',
...
'2000-10-22', '2000-10-23', '2000-10-24', '2000-10-25',
'2000-10-26', '2000-10-27', '2000-10-28', '2000-10-29',
'2000-10-30', '2000-10-31'],
dtype='int64', length=305, freq='D', name='date')
output of pd.show_versions()
Out[21]: '0.18.0'