How can I mask a portion of an array using Numpy?

Or, if you already have a numpy array, you could use URL1. Masked_less_equal (see the link for a variety of other operations for masking particular elements).

In 51: arr=np.ma. Array(0.2, 0.1, 0.3, 0.4, 0.5,mask=True,True,False,False,False) In 52: print(arr) -- -- 0.3 0.4 0.5 Or, if you already have a numpy array, you could use URL1. Masked_less_equal (see the link for a variety of other operations for masking particular elements): In 53: arr=np. Array(0.2, 0.1, 0.3, 0.4, 0.5) In 56: URL1. Masked_less_equal(arr,0.2) Out57: masked_array(data = -- -- 0.3 0.4 0.5, mask = True True False False False, fill_value = 1e+20) Or, if you wish to mask the first two elements: In 67: arr=np.

Array(0.2, 0.1, 0.3, 0.4, 0.5) In 68: arr=np.ma. Array(arr,mask=False) In 69: arr. Mask:2=True In 70: arr Out70: masked_array(data = -- -- 0.3 0.4 0.5, mask = True True False False False, fill_value = 1e+20).

I found this: ma. Array(1,2,3,4, mask=1,1,0,0) masked_array(data = -- -- 3 4, mask = True True False False, fill_value = 999999).

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