![]() anaconda3/lib/python3.7/site-packages/numpy/lib/arraysetops.py in unique1d(ar, return_index, return_inverse, return_counts)Ģ83 mask = np.empty(aux.shape, dtype=np. –> 233 ret = _unique1d(ar, return_index, return_inverse, return_counts) anaconda3/lib/python3.7/site-packages/numpy/lib/arraysetops.py in unique(ar, return_index, return_inverse, return_counts, axis) It requires either a single list of values, or a single numpy array with values (basically any single. –> 439 scores = np.unique(np.ravel(a)) # get ALL unique values anaconda3/lib/python3.7/site-packages/scipy/stats/stats.py in mode(a, axis, nan_policy) ENH: add capability for stats.mode to handle empty arrays as parameters. aeklant added a commit to aeklant/scipy that referenced this issue on Mar 12, 2015. Other stats.mode tests were modified for clarity and compliance with PEP8. ![]() TypeError Traceback (most recent call last)ġ #First we import a function to determine the mode stats.mode should return an empty array when the parameter is an empty array. nan values will be ignored.”, RuntimeWarning) You can change the window size by altering the size parameter in the genericfilter function. Mode(data) /anaconda3/lib/python3.7/site-packages/scipy/stats/stats.py:245: RuntimeWarning: The input array could not be properly checked for nan values. ![]() #First we import a function to determine the mode ![]()
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