How to Remove columns in Numpy array that contains non-numeric values? Last Updated : 25 Oct, 2020 Comments Improve Suggest changes Like Article Like Report Many times we have non-numeric values in NumPy array. These values need to be removed, so that array will be free from all these unnecessary values and look more decent. It is possible to remove all columns containing Nan values using the Bitwise NOT operator and np.isnan() function. Example 1: Python3 # Importing Numpy module import numpy as np # Creating 2X3 2-D Numpy array n_arr = np.array([[10.5, 22.5, np.nan], [41, 52.5, np.nan]]) print("Given array:") print(n_arr) print("\nRemove all columns containing non-numeric elements ") print(n_arr[:, ~np.isnan(n_arr).any(axis=0)]) Output: In the above example, we remove columns containing non-numeric values from the 2X3 Numpy array. Example 2: Python3 # Importing Numpy module import numpy as np # Creating 3X3 2-D Numpy array n_arr = np.array([[10.5, 22.5, 10.5], [41, 52.5, 25], [100, np.nan, 41]]) print("Given array:") print(n_arr) print("\nRemove all columns containing non-numeric elements ") print(n_arr[:, ~np.isnan(n_arr).any(axis=0)]) Output: In the above example, we remove columns containing non-numeric values from the 3X3 Numpy array. Example 3: Python3 # Importing Numpy module import numpy as np # Creating 5X3 2-D Numpy array n_arr = np.array([[10.5, 22.5, 3.8], [23.45, 50, 78.7], [41, np.nan, np.nan], [20, 50.20, np.nan], [18.8, 50.60, 8.8]]) print("Given array:") print(n_arr) print("\nRemove all columns containing non-numeric elements ") print(n_arr[:, ~np.isnan(n_arr).any(axis=0)]) Output: In the above example, we remove columns containing non-numeric values from the 5X3 Numpy array. Comment More info V vanshgaur14866 Follow Improve Article Tags : Python Python-numpy Python numpy-arrayManipulation Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 5 min read Recursion in Python 6 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 5 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like