CODEWITHSUNDEEP
pythonnumpymultidimensional-arraynumpy-ndarray
user5650029
user5650029

Reputation: 35

How can I convert a numpy to a binary (size 8 bits)

I am searching for a dynamic way to perform a numpy convert (integer to binary).
I tried to use the 'astype' way but it didn't work out.

I got a 3-dim matrix like that one:

x = np.array([[[1, 2, 44],[1,5,3]],[[7, 88, 12],[1,15,60]]])

I would like to convert each value of x to its binary form (max size of 8 bits) for example, if x includes 6 it will be converted to '00000110'.

This is a reference for how to convert integer to binary as I need:
Converting integer to binary in python

Upvotes: 1

Views: 1022

Answers (1)

alan.elkin
alan.elkin

Reputation: 972

Is this what you are looking for?

vfunc = np.vectorize(lambda i: '{0:08b}'.format(i))
x_bin = vfunc(x)

Output of print(x_bin):

[[['00000001' '00000010' '00101100']
  ['00000001' '00000101' '00000011']]

 [['00000111' '01011000' '00001100']
  ['00000001' '00001111' '00111100']]]

Upvotes: 2

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