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

0 vote218 views1 answer
How to specify port while running django project
Python
4 votes213 views1 answer
Fixed precision float python
Python
8 votes198 views3 answers
How to add two lists to an array variable
Python
0 vote216 views2 answers
Torch.unsqueeze
Python
4 votes219 views2 answers
Arrayfield django example
Python Django
0 vote209 views1 answer
From sklearn.metrics import confusion_matrix pred = model.predict(X_test) pred = np.argmax(pred,axis = 1) y_true = np.argmax(y_test,axis = 1)
Python
0 vote198 views2 answers
How to create fibonacci sequence in python
Python
3 votes256 views2 answers
Range of letters python
Python
0 vote213 views1 answer
Filter nulla values only pandas
Python
32 votes255 views6 answers
Time a function python
Python