How to replace items that satisfy a condition with another value in numpy array?
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# How to replace items that satisfy a condition with another value in numpy array?

This recipe helps you replace items that satisfy a condition with another value in numpy array

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## Recipe Objective

How to replace items that satisfy a condition with another value in numpy array? This is possible in the Numpy by using the "where" condition.

## Step 1 - Import library

``` import numpy as np ```

## Step 2 - Take Sample array

``` Sample_array = np.array([10,20,30,40,45,50,55,60,65,70,75,80]) print("This is the Sample array:", Sample_array) ```
`This is the Sample array: [10 20 30 40 45 50 55 60 65 70 75 80]`

## Step 3 - Print the Results

``` Result = np.where(Sample_array > 45, 0, Sample_array) print("This is Resulted array where we have applied condition:", Result) ```
`This is Resulted array where we have applied condition: [10 20 30 40 45  0  0  0  0  0  0  0]Here we have applied a condition where if the number is greater than 45 then it will be 0.`

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