consider the following:
foo = np.array(['a', 'b', 2])
bar = [x for x in foo if isinstance(x, str)]
Much to my surprise, what comes out is:
['a', 'b', '2']
So the 2 became a string. I understand that numpy is meant to deal with homogeneous arrays, but still, this is undesirable behavior, and would be nice to avoid. Suggestions?
Numpy assumes str dtype in your case. Pass the dtype explicitly, e.g.:
foo = np.array(['a', 'b', 2], dtype=object)
bar = [x for x in foo if isinstance(x, str)]
Im not sure whats your problem here, but I guess you want that list to only have strings/chars of letters/words?
import numpy as np
lst = ['a' ,'b', 2]
# ['a', 'b', 2]
foo = np.array([each for each in lst if str(each).isalpha()])
# array(['a', 'b'], dtype='<U1')
This ensures that only character will be in the bumpy array