This tutorial will discuss about unique ways to remove elements from array that are in another array – Python.

Suppose we have two NumPy Arrays,

mainArray = np.array([14, 23, 30, 41, 53]) otherArray = np.array([23, 41])

Now we want to remove only those elements from the `mainArray`

which are present in the `otherArray`

. Basically we want to delete the common values from the `mainArray`

.

We will create a boolean mask, equal to the size of the `mainArray`

using the `numpy.isin()`

function. In which we will pass both the arrays as arguments.

# Create a boolean mask equal to the size of mainArray # Each True value in mask denotes that the corresponding # value from mainArray is not present in otherArray mask = ~np.isin(mainArray, otherArray)

It will return a boolean array, where each True value denotes at the corresponding value in `mainArray`

is not present in the `otherArray`

. Then using the mask we will select only those values from the `mainArray`

where this boolean sequence contains True value.

# Use the mask to select only those values from mainArray # where mask contains the True value at respective place newArray = mainArray[mask]

Basically we selected only the elements from mainArray which were not present in the `otherArray`

.

**Let’s see the complete example,**

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import numpy as np # Create a NumPy Arrays mainArray = np.array([14, 23, 30, 41, 53]) otherArray = np.array([23, 41]) # Create a boolean mask equal to the size of mainArray # Each True value in mask denotes that the corresponding # value from mainArray is not present in otherArray mask = ~np.isin(mainArray, otherArray) # Use the mask to select only those values from mainArray # where mask contains the True value at respective place newArray = mainArray[mask] # Print the numpy array print(newArray)

**Output**

[14 30 53]

## Summary

We learned how to Remove Elements From a NumPy Array that are in Another NumPy Array in Python.