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 vote149 views1 answer
Type object 'SparkContext' has no attribute '_jsc'
Python
0 vote114 views1 answer
Dalsports
Python
0 vote105 views1 answer
Why static kwyword not in python
Python
7 votes112 views4 answers
From django.contrib import messages
Python
4 votes96 views1 answer
Python -c import pty;
Python
0 vote104 views1 answer
Numpy rolling
Python
2 votes106 views2 answers
Numpy count where
Python
41 votes97 views6 answers
Pd.read_csv
Python
0 vote111 views1 answer
How to make a multiple choice quiz in python with tkinter
Python
0 vote108 views1 answer
Finding the maximum element from a matrix with Python numpy.argmax()
Python