May 2, 2026 - NumPy.isnan() method Example-3: >>> import numpy as np >>> np.isnan([np.log(-2.),2.,np.log(0)]) Output: array([ True, False, False]) Python - NumPy Code Editor: PREV : isinf() function NEXT : isnat() function  · Follow us on Facebook and Twitter for latest update.

September 4, 2024 - In the example below, math.isnan() returns True because the variable nan, created using float, represents a “Not a Number” (NaN) value: ... Looking for an introduction to the theory behind programming? Master Python while learning data structures, algorithms, and more!

February 15, 2024 - import math # Assuming my_number is a float or can be converted to one my_number = float('nan') print(math.isnan(my_number)) # Output: TruePowered by · Learn-by-Example editor, press Tab to Enter. Press Escape and then Tab or Shift+Tab to navigate out. ... Identifying and managing NaN values is a fundamental step in cleaning and preparing your data for analysis. Whether you're working with arrays, series, or data frames, understanding the tools and methods available in Python to deal with missing data is essential.

August 10, 2026 - import math print(math.isnan(1)) print(math.isnan(0.00)) print(math.isnan(-2)) print(math.isnan(-4.0002)) print(math.isnan(math.pi)) ... In this Mathematical function example, we are using the infinity, math.inf, not a number values as the method ...

February 9, 2025 - Here’s how: import numpy as np # Example array with NaN values arr = np.array([1, 2, np.nan, 4, np.nan, 6]) # Replace NaN values with a specific number, e.g., 0 arr_cleaned = np.where(np.isnan(arr), 0, arr) print("Array after replacing NaN ...

numpy.isnan(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'isnan'>

Examples · Try it in your browser! >>> import numpy as np >>> np.isnan(np.nan) True >>> np.isnan(np.inf) False >>> np.isnan([np.log(-1.),1.,np.log(0)]) array([ True, False, False]) Go BackOpen In Tab ·

July 23, 2025 - # code import numpy as np # Example array array = np.array([1, 2, np.nan, 4, 5]) # Check for NaN values nan_check = np.isnan(array) print(nan_check)

The math module in Python provides the isnan() function, which can be used to check if a value is NaN. This method works only with floating-point values. Here's an example:

March 8, 2024 - # Python Program illustrating # numpy.isnan() method import numpy as geek # Returns True/False value for each element b = geek.arange(20).reshape(5, 4) print("\n",b) print("\nIs NaN(Not a Number): \n", geek.isnan(b)) b = [[1j], [geek.nan]] ...

Python Examples Python Compiler Python Exercises Python Quiz Python Challenges Python Practice Problems Python Server Python Syllabus Python Study Plan Python Interview Q&A Python Training ... # Import math Library import math # Check whether some values are NaN or not print (math.isnan (56)) print (math.isnan (-45.34)) print (math.isnan (+45.34)) print (math.isnan (math.inf)) print (math.isnan (float("nan"))) print (math.isnan (float("inf"))) print (math.isnan (float("-inf"))) print (math.isnan (math.nan)) Try it Yourself »

February 20, 2023 - # Python3 code to demonstrate # the working of isnan() import math # initializing the value test_int = 4 test_neg_int = -3 test_float = 0.00 # checking isnan() values # with different numbers print (math.isnan(test_int)) print (math.isnan(t...

Examples · >>> import numpy as np >>> np.isnan(np.nan) True >>> np.isnan(np.inf) False >>> np.isnan([np.log(-1.),1.,np.log(0)]) array([ True, False, False]) On this page

March 8, 2024 - # Python Program illustrating # numpy.isnan() method import numpy as geek # Returns True/False value for each element b = geek.arange(20).reshape(5, 4) print("\n",b) print("\nIs NaN(Not a Number): \n", geek.isnan(b)) b = [[1j], [geek.nan]] ...

import math x = float('nan') result = math.isnan(x) print("The result is:",result) ... In this example, we are checking if the integer number "100" is NaN using the math.isnan() method −

November 25, 2024 - First, the math module is imported in this code. Then, a variable is created and assigned a NaN value. The variable is then passed to the isnan() function of the math module and a print statement is used to print the value returned by the function.

October 27, 2025 - Python’s numpy.isnan() takes an array as input and does an element-wise check for NaN values and returns the results as a boolean array highlighting the locations where an NaN was found.

May 1, 2026 - For example, if you are working with NumPy arrays, use np.isnan() consistently throughout your code. import numpy as np value = np.nan if np.isnan(value): # Consistent use of NumPy's isnan() print('Value is NaN') else: print('Value is not NaN') ...

This example demonstrates how numpy.isnan() can be used in conjunction with pandas and matplotlib to analyze and visualize missing data patterns in a real-world dataset. It showcases the function's utility in data preprocessing, visualization, and statistical analysis.