Numpy.where

Numpy where

import numpy as np

# Return elements chosen from x or y depending on condition.
a = np.arange(10) # [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
single_where = np.where((a<5),-1,a) # [-1, -1, -1, -1, -1,  5,  6,  7,  8,  9]
multiple_where = np.where((a<5),-1,np.where((a>5),0,a)) # [-1, -1, -1, -1, -1,  5,  0,  0,  0,  0]

Numpy.where

Parameters:
condition : When True, yield x, otherwise yield y.
x, y : Values from which to choose. x, y and condition need to be broadcastable to some shape.

Returns:
out : [ndarray or tuple of ndarrays] If both x and y are specified, the output array contains elements of x where condition is True, and elements from y elsewhere.

Similar codes

0 vote290 views1 answer
Python how to use rnage
Python
0 vote315 views1 answer
Django template render dict
Python Django
0 vote322 views1 answer
First_list = [10,20,30,40] second list = first list second list[3]=400
Python
3 votes296 views1 answer
Python ftp upload file
Python
2 votes312 views1 answer
Python print show special characters
Python
0 vote259 views9 answers
C++ to python online converter
Python
2 votes277 views1 answer
How to run jupyter notebook
Python
27 votes312 views5 answers
Pretty json python
Python
57 votes287 views6 answers
Python read lines
Python
0 vote321 views1 answer
Django listview
Python Django