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

15 votes180 views2 answers
Df to excel
Python
1 vote189 views1 answer
Django group by date from datetime field
Python
1 vote195 views2 answers
Python get directory of current script file
Python
2 votes159 views1 answer
Matplotlib plot remove margins
Python
1 vote179 views1 answer
How to get prime numbers in a list in python using list comprehension
Python
0 vote176 views1 answer
Networkx path between two nodes
Python
6 votes192 views4 answers
Extract numbers from string python
Python
3 votes177 views1 answer
Calculate percentile pandas dataframe
Python
0 vote175 views1 answer
How to add a under line of the button in tkinter python
Python
0 vote184 views1 answer
R Return each result with an index
Python