Write a Pandas program to replace the ‘qualify’ column contains the values ‘yes’ and ‘no’ with True and False.
Example 1:
Input: DataFrame with 'qualify' column values as 'yes' and 'no' Output: DataFrame with 'qualify' column values as True and False
Example 2:
Input: DataFrame with 'qualify' column values as 'yes' and 'no' Output: DataFrame with 'qualify' column values as True and False
Use the pandas replace() function.
import pandas as pd
def replace_values(df):
df['qualify'] = df['qualify'].replace({'yes': True, 'no': False})
return df
df1 = pd.DataFrame({'name': ['Tom', 'Jack', 'Steve', 'Ricky'], 'qualify': ['yes', 'no', 'yes', 'no']})
df2 = pd.DataFrame({'name': ['Adam', 'Eve', 'Stark', 'Rogers'], 'qualify': ['no', 'yes', 'no', 'yes']})
print(replace_values(df1))
print(replace_values(df2))
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