Drop Infinite Values from pandas DataFrame in Python (Examples) | Replace inf by NaN | NumPy Library
How to remove infinite values from a pandas DataFrame in the Python programming language. More details: https://statisticsglobe.com/drop-inf-...
Python code of this video:
import pandas as pd # Load pandas library
import numpy as np # Import NumPy library in Python
data = pd.DataFrame({'x1':range(1, 6), # Create example DataFrame
'x2':[1, np.inf, 1, 1, 1],
'x3':[5, np.inf, 6, 7, np.inf]})
print(data) # Print example DataFrame
data_new1 = data.copy() # Create duplicate of data
data_new1.replace([np.inf, - np.inf], np.nan, inplace = True) # Exchange inf by NaN
print(data_new1) # Print data with NaN
data_new2 = data_new1.dropna() # Delete rows with NaN
print(data_new2) # Print final data set
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