How to turn Jupyter column labels into data?

To convert column labels into data in a Jupyter notebook, you can utilize the DataFrame object in the pandas library.

Here is a sample code demonstrating how to convert column labels into data.

import pandas as pd

# 创建一个示例DataFrame对象
data = {'Name': ['John', 'Emma', 'Andrew'],
        'Age': [25, 28, 32],
        'City': ['New York', 'London', 'Paris']}
df = pd.DataFrame(data)

# 将列标签转换为数据
df = df.reset_index()
df = df.rename(columns={'index': 'Col_Label'})

# 显示转换后的DataFrame
print(df)

The output result is:

   Col_Label   Name  Age      City
0          0   John   25  New York
1          1   Emma   28    London
2          2  Andrew   32     Paris

In the above code, we start by creating an example DataFrame object. Next, we add an index column to the DataFrame using the reset_index() method and rename it as ‘Col_Label’ column. Finally, we display the transformed DataFrame with the print(df) statement.

Please note that this is just one way to convert column labels into data, the specific implementation may vary depending on your data and requirements.