How can you replace the values in a specific column usi…

To replace the values in a column, you can use the pandas library to manipulate the data. Here is an example code using the pandas library:

import pandas as pd

# 创建一个示例数据框
data = {'Name': ['John', 'Mike', 'Sarah', 'Jessica'],
        'Age': [28, 32, 25, 40],
        'City': ['New York', 'Los Angeles', 'Chicago', 'San Francisco']}
df = pd.DataFrame(data)

# 使用.loc来替换某列的值
df.loc[df['Name'] == 'Mike', 'Age'] = 35

# 打印替换后的数据框
print(df)

The output result is:

      Name  Age           City
0     John   28       New York
1     Mike   35    Los Angeles
2    Sarah   25        Chicago
3  Jessica   40  San Francisco

In this example, we used .loc to locate the rows that meet certain conditions and used the indexing operator ([]) to specify the columns to be replaced. Specifically, df.loc[df[‘Name’] == ‘Mike’, ‘Age’] signifies that for the rows where the Name column equals ‘Mike’, the value in the Age column is replaced with 35.