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]

Similar codes

31 votes123 views4 answers
Python for loop counter
Python
0 vote112 views1 answer
Pytest runtimeerror: no application found. either work inside a view function or push an application context
Python
28 votes111 views3 answers
Seaborn size
Python
1 vote103 views1 answer
Python find string in list
Python
0 vote109 views1 answer
Box Plot, Python
Python
0 vote108 views1 answer
Matplotlib don't use the alpha value of the plot in legend
Python
0 vote60 views1 answer
Pycharm display info of function
Python
5 votes106 views2 answers
Run JupyterLab
Python
1 vote113 views1 answer
Pytorch tensor add one dimension
Python
10 votes117 views2 answers
Prime number
Python