python - Generic string comparison with numpy -

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if have multiple numpy arrays of different string types, such as:

in [411]: x1.dtype out[411]: dtype('s3')  in [412]: x2.dtype out[412]: dtype('<u3')  in [413]: x3.dtype out[413]: dtype('>u5')

is there way can check whether all strings without having compare each individual type explicitly?

for example, do

in [415]: x1.dtype == <something> out[415]: true  in [416]: x2.dtype == <something> # same above out[416]: true  in [417]: x3.dtype == <something> # same above out[417]: true

comparing str = no bueno:

in [410]: x3.dtype == str out[410]: false

one way use np.issubdtype np.character:

np.issubdtype(your_array.dtype, np.character)

for example:

>>> np.issubdtype('s3', np.character) true  >>> np.issubdtype('<u3', np.character) true  >>> np.issubdtype('>u5', np.character) true

this numpy dtype hierarchy (as image!) taken numpy documentation. it's helpful if want check common dtype classes:

enter image description here

as can see np.str_ , np.unicode_ both "subclass" np.character.





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