Change Unfavourable Values with 0 in NumPy

You’ll importance please see unadorned syntax to switch adverse values with 0 in NumPy:

my_array[my_array < 0] = 0

This syntax works with each 1D and 2D NumPy arrays.

Please see examples display the way to importance this syntax in follow.

Instance 1: Change Unfavourable Values with 0 in 1D NumPy Array

Please see code displays the way to change all adverse values with 0 in a NumPy array:

import numpy as np

#form 1D NumPy array
my_array = np.array([4, -1, 6, -3, 10, 11, -14, 19, 0])

#change adverse values with 0 in array
my_array[my_array < 0] = 0

#view up to date array
print(my_array)

[ 4  0  6  0 10 11  0 19  0]

Realize that every adverse price within the unedited array has been changed with 0.

Instance 2: Change Unfavourable Values with 0 in 2D NumPy Array

Assume we’ve please see 2D NumPy array:

import numpy as np

#form 2D NumPy array
my_array = np.array([3, -5, 6, 7, -1, 0, -5, 9, 4, 3, -5, 1]).reshape(4,3)

#view 2D NumPy array
print(my_array)

[[ 3 -5  6]
 [ 7 -1  0]
 [-5  9  4]
 [ 3 -5  1]]

We will be able to importance please see code to switch all adverse values with 0 within the NumPy array:

#change all adverse values with 0 in 2D array
my_array[my_array < 0] = 0

#view up to date array
print(my_array)

[[3 0 6]
 [7 0 0]
 [0 9 4]
 [3 0 1]]

Realize that each one adverse values within the unedited 2D array had been changed with 0.

Supplementary Sources

Please see tutorials give an explanation for the way to carry out alternative ordinary duties in NumPy:

Fill NumPy Array with Values
Take away Explicit Parts from NumPy Array
Change Parts in NumPy Array
Get Explicit Row from NumPy Array