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(df)
print("Removing infinite values:")
df = df.replace([np.inf, -np.inf], np.nan)
print(df)
Sample Output:
Original DataFrame: 0 0 1000.000000 1 2000.000000 2 3000.000000 3 -4000.000000 4 inf 5 -inf Removing infinite values: 0 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.
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://198.211.115.131/python-exercises/pandas/python-pandas-data-frame-exercise-52.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics