Pandas: Remove infinite values from a given DataFrame

Pandas: DataFrame Exercise-52 with Solution

Write a Pandas program to remove infinite values from a given DataFrame.

Sample Solution :

Python Code :

import pandas as pd
import numpy as np
df = pd.DataFrame([1000, 2000, 3000, -4000, np.inf, -np.inf])
print("Original DataFrame:")
print("Removing infinite values:")
df = df.replace([np.inf, -np.inf], np.nan)

Sample Output:

Original DataFrame:
0  1000.000000
1  2000.000000
2  3000.000000
3 -4000.000000
4          inf
5         -inf
Removing infinite values:
0  1000.0
1  2000.0
2  3000.0
3 -4000.0
4     NaN
5     NaN           

Python-Pandas Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

Previous: Write a Pandas program to convert the datatype of a given column(floats to ints).
Next: Write a Pandas program to insert a given column at a specific column index in a DataFrame.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.

Share this Tutorial / Exercise on : Facebook and Twitter

Python: Tips of the Day

Walrus Operator:

>>> a = ['j', 'a', 'k', 'd', 'c']
>>> if (n := len(a))%2 == 1:
...     print(f'The number of letters is {n}, which is odd.')
The number of letters is 5, which is odd.