numpy string operations | isnumeric() function
Last Updated :
14 Jan, 2019
numpy.core.defchararray.isnumeric(arr)
function returns true for each element if there are only numeric characters and there is at least one character.It returns false otherwise.
Parameters:
arr : array_like of str or unicode.
Returns : [ndarray] Output array of bools.
Code #1 :
import numpy as geek
in_arr = geek.array([ '1000' , '2000' ] )
print ( "Input array : " , in_arr)
out_arr = geek.char.isnumeric(in_arr)
print ( "Output array: " , out_arr)
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Output:
Input array : ['1000' '2000']
Output array: [ True True]
Code #2 :
import numpy as geek
in_arr = geek.array([ 'python3.5' , 'a1000' , '1234 ab' ] )
print ( "Input array : " , in_arr)
out_arr = geek.char.isnumeric(in_arr)
print ( "Output array: " , out_arr)
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Output:
Input array : ['python3.5' 'a1000' '1234 ab']
Output array: [False False False]
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