Closed
Description
This probably should have been caught in #7766, but wasn't.
In [1]: from pandas import Series, rolling_count, expanding_count, expanding_mean
In [2]: expanding_count(Series([]))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-2-16cb9f6736f0> in <module>()
----> 1 expanding_count(Series([]))
C:\Python34\lib\site-packages\pandas\stats\moments.py in expanding_count(arg, freq, center)
872 of :meth:`~pandas.Series.resample` (i.e. using the `mean`).
873 """
--> 874 return rolling_count(arg, len(arg), freq=freq, center=center)
875
876
C:\Python34\lib\site-packages\pandas\stats\moments.py in rolling_count(arg, window, freq, center, how)
188 converted = np.isfinite(values).astype(float)
189 result = rolling_sum(converted, window, min_periods=1,
--> 190 center=center) # already converted
191
192 # putmask here?
C:\Python34\lib\site-packages\pandas\stats\moments.py in f(arg, window, min_periods, freq, center, how, **kwargs)
593 return func(arg, window, minp, **kwds)
594 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
--> 595 center=center, how=how, **kwargs)
596
597 return f
C:\Python34\lib\site-packages\pandas\stats\moments.py in _rolling_moment(arg, window, func, minp, axis, freq, center, how, args, kwa
rgs, **kwds)
345 result = np.apply_along_axis(calc, axis, values)
346 else:
--> 347 result = calc(values)
348
349 rs = return_hook(result)
C:\Python34\lib\site-packages\pandas\stats\moments.py in <lambda>(x)
339 arg = _conv_timerule(arg, freq, how)
340 calc = lambda x: func(x, window, minp=minp, args=args, kwargs=kwargs,
--> 341 **kwds)
342 return_hook, values = _process_data_structure(arg)
343 # actually calculate the moment. Faster way to do this?
C:\Python34\lib\site-packages\pandas\stats\moments.py in call_cython(arg, window, minp, args, kwargs, **kwds)
591 def call_cython(arg, window, minp, args=(), kwargs={}, **kwds):
592 minp = check_minp(minp, window)
--> 593 return func(arg, window, minp, **kwds)
594 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
595 center=center, how=how, **kwargs)
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos.roll_sum (pandas\algos.c:25271)()
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos._check_minp (pandas\algos.c:16394)()
ValueError: min_periods (1) must be <= window (0)
In [3]: rolling_count(Series([]), window=3)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-3-040797e90b09> in <module>()
----> 1 rolling_count(Series([]), window=3)
C:\Python34\lib\site-packages\pandas\stats\moments.py in rolling_count(arg, window, freq, center, how)
188 converted = np.isfinite(values).astype(float)
189 result = rolling_sum(converted, window, min_periods=1,
--> 190 center=center) # already converted
191
192 # putmask here?
C:\Python34\lib\site-packages\pandas\stats\moments.py in f(arg, window, min_periods, freq, center, how, **kwargs)
593 return func(arg, window, minp, **kwds)
594 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
--> 595 center=center, how=how, **kwargs)
596
597 return f
C:\Python34\lib\site-packages\pandas\stats\moments.py in _rolling_moment(arg, window, func, minp, axis, freq, center, how, args, kwa
rgs, **kwds)
345 result = np.apply_along_axis(calc, axis, values)
346 else:
--> 347 result = calc(values)
348
349 rs = return_hook(result)
C:\Python34\lib\site-packages\pandas\stats\moments.py in <lambda>(x)
339 arg = _conv_timerule(arg, freq, how)
340 calc = lambda x: func(x, window, minp=minp, args=args, kwargs=kwargs,
--> 341 **kwds)
342 return_hook, values = _process_data_structure(arg)
343 # actually calculate the moment. Faster way to do this?
C:\Python34\lib\site-packages\pandas\stats\moments.py in call_cython(arg, window, minp, args, kwargs, **kwds)
591 def call_cython(arg, window, minp, args=(), kwargs={}, **kwds):
592 minp = check_minp(minp, window)
--> 593 return func(arg, window, minp, **kwds)
594 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
595 center=center, how=how, **kwargs)
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos.roll_sum (pandas\algos.c:25271)()
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos._check_minp (pandas\algos.c:16394)()
ValueError: min_periods (1) must be <= window (0)
In [5]: expanding_mean(Series([]))
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-5-b131e71cc033> in <module>()
----> 1 expanding_mean(Series([]))
C:\Python34\lib\site-packages\pandas\stats\moments.py in f(arg, min_periods, freq, center, **kwargs)
825 return func(arg, window, minp, **kwds)
826 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
--> 827 center=center, **kwargs)
828
829 return f
C:\Python34\lib\site-packages\pandas\stats\moments.py in _rolling_moment(arg, window, func, minp, axis, freq, center, how, args, kwa
rgs, **kwds)
345 result = np.apply_along_axis(calc, axis, values)
346 else:
--> 347 result = calc(values)
348
349 rs = return_hook(result)
C:\Python34\lib\site-packages\pandas\stats\moments.py in <lambda>(x)
339 arg = _conv_timerule(arg, freq, how)
340 calc = lambda x: func(x, window, minp=minp, args=args, kwargs=kwargs,
--> 341 **kwds)
342 return_hook, values = _process_data_structure(arg)
343 # actually calculate the moment. Faster way to do this?
C:\Python34\lib\site-packages\pandas\stats\moments.py in call_cython(arg, window, minp, args, kwargs, **kwds)
823 def call_cython(arg, window, minp, args=(), kwargs={}, **kwds):
824 minp = check_minp(minp, window)
--> 825 return func(arg, window, minp, **kwds)
826 return _rolling_moment(arg, window, call_cython, min_periods, freq=freq,
827 center=center, **kwargs)
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos.roll_mean (pandas\algos.c:25815)()
C:\Python34\lib\site-packages\pandas\algos.pyd in pandas.algos._check_minp (pandas\algos.c:16394)()
ValueError: min_periods (1) must be <= window (0)