Closed
Description
vbench already in timeseries/period_setitem
very inefficient because on the boxing of the PeriodIndex (to an object index), it recomputes the freq for each Period (even though it is passed), need a fastpath on this type of construction
In [1]: rng = period_range('1/1/1990', freq='S', periods=20000)
In [2]: df = DataFrame(index=range(len(rng)))
In [3]: def f():
...: df['col'] = rng
...:
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
40000 0.055 0.000 0.095 0.000 abc.py:128(__instancecheck__)
20000 0.043 0.000 0.345 0.000 period.py:66(__init__)
20000 0.037 0.000 0.381 0.000 period.py:683(<lambda>)
80031 0.037 0.000 0.131 0.000 {isinstance}
20000 0.034 0.000 0.223 0.000 frequencies.py:76(get_freq_code)
60003 0.029 0.000 0.029 0.000 _weakrefset.py:68(__contains__)
20000 0.028 0.000 0.063 0.000 frequencies.py:464(_base_and_stride)
20000 0.028 0.000 0.028 0.000 {method 'match' of '_sre.SRE_Pattern' objects}
20000 0.027 0.000 0.038 0.000 frequencies.py:767(_period_str_to_code)
40000 0.023 0.000 0.144 0.000 common.py:1730(is_integer)
1 0.016 0.016 0.398 0.398 {pandas.lib.map_infer}
40007 0.010 0.000 0.010 0.000 {getattr}
20000 0.009 0.000 0.012 0.000 frequencies.py:112(_get_freq_str)
60000 0.008 0.000 0.008 0.000 {method 'get' of 'dict' objects}
40000 0.006 0.000 0.006 0.000 {method 'group' of '_sre.SRE_Match' objects}
20000 0.004 0.000 0.004 0.000 {method 'lower' of 'str' objects}
20000 0.002 0.000 0.002 0.000 {method 'upper' of 'str' objects}
20015 0.002 0.000 0.002 0.000 {len}