Replace NaN with 0 in pandas DataFrame in Python (2 Examples) | Substitute by Zeros | All/One Column
How to exchange NaN values in a pandas DataFrame by 0 in the Python programming language. More details: https://statisticsglobe.com/replace-n...
Python code of this video:
import pandas as pd # Import pandas
data = pd.DataFrame({'x1':[float('NaN'), 0, 1, float('NaN'), 1, 0], # Create example DataFrame
'x2':[1, 7, float('NaN'), 5, 3, 1],
'x3':[10, 11, 12, float('NaN'), float('NaN'), 13]})
print(data) # Print example DataFrame
data_new1 = data.fillna(0) # Substitute NaN in all columns
print(data_new1) # Print DataFrame with zeros
data_new2 = data.copy() # Create copy of input DataFrame
data_new2['x1'] = data_new2['x1'].fillna(0) # Substitute NaN in single column
print(data_new2) # Print DataFrame with zeros in single column
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