python-numpyHow to use multiple conditions in where()

import numpy as np
array = np.arange(0, 100).reshape(10,10)

condition1 = array > 15
condition2 = array < 25

filtered = array[np.where(condition1 & condition2)]ctrl + cyoutubegithub

`import numpy as np` load Numpy module for Python	`.arange(` generates array based on specified range
`.reshape(` changes shape of the array to the specified dimensions	`condition1` first condition to use
`condition2` second condition to use	`condition1 & condition2` use both conditions in `where` method
`where(` returns filtered elements from array based on condition

Usage example

import numpy as np

array = np.arange(0, 100).reshape(10,10)
condition1 = array > 15
condition2 = array < 25

print(array[np.where(condition1 & condition2)])

output

[16 17 18 19 20 21 22 23 24]

How to use where() to filter array

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python-numpyHow to use multiple conditions in where()

Usage example

output

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