Numpy get index of non zero elements

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tutorial: numpy - get index of non-zero elements

in this tutorial, we will explore how to use numpy to find the indices of non-zero elements in a numpy array.

#### step 1: install numpy
if you haven't installed numpy, you can do so by running the following command:


#### step 2: import numpy
import the numpy library in your python script:


#### step 3: get index of non-zero elements
numpy provides a function called `np.nonzero()` that returns the indices of the non-zero elements in an array. let's see how to use it:



in this example, the array `arr` contains non-zero elements at index 1, 3, and 5. when we call `np.nonzero(arr)`, it returns a tuple containing the indices of non-zero elements.

#### step 4: access the indices
you can access the indices using the returned tuple. for example, to print the indices of non-zero elements:



this will output:


#### summary
in this tutorial, you learned how to use numpy to get the indices of non-zero elements in a numpy array. the `np.nonzero()` function is useful for finding the positions of non-zero values in an array.

if you have any questions or need further clarification, feel free to ask!

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