With the help of numpy.isin() method, we can see that one array having values are checked in a different numpy array having different elements with different sizes.
Syntax :
numpy.isin(target_array, list)Return : Return boolean array having same size as of target_array.
Example #1 :
In this example we can see that by using numpy.isin() method, we are able to get the boolean array if elements are matched with the target array.
# import numpyimport numpy as np # using numpy.isin() methodgfg1 = np.array([1, 2, 3, 4, 5])lis = [1, 3, 5]gfg = np.isin(gfg1, lis) print(gfg) |
Output :
[ True False True False True]
Example #2 :
# import numpyimport numpy as np # using numpy.isin() methodgfg1 = np.array([[1, 3], [5, 7], [9, 11]])lis = [1, 3, 11, 9]gfg = np.isin(gfg1, lis) print(gfg) |
Output :
[[ True True]
[False False]
[ True True]]
