and condition in numpy where code example

Example 1: Numpy where function multiple conditions

dists[(dists >= r) & (dists <= r+dr)]

# or if you want to use np.where #

dists[(np.where((dists >= r) & (dists <= r + dr)))]

Example 2: 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]