Write a Pandas program to find and replace the missing values in a given DataFrame.
Example 1:
Input: DataFrame with some missing values Output: DataFrame with missing values replaced
Example 2:
Input: DataFrame with some missing values Output: DataFrame with missing values replaced
Use the pandas DataFrame fillna() function.
import pandas as pd
import numpy as np
def replace_missing_values(df, replacement_value):
return df.fillna(replacement_value)
df1 = pd.DataFrame({'name': ['Tom', 'Jack', 'Steve', np.nan], 'score': [85, np.nan, 87, 91]})
df2 = pd.DataFrame({'name': ['Adam', 'Eve', np.nan, 'Rogers'], 'score': [np.nan, 92, 95, 97]})
print(replace_missing_values(df1, 'Unknown'))
print(replace_missing_values(df2, 'Unknown'))
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