如何在pandas DatFarame中的列名中编写元数据

import pandas as pd

data = {'column1': {'name': 'Column 1', 'type': 'numeric', 'description': 'This is the first column'},
        'column2': {'name': 'Column 2', 'type': 'string', 'description': 'This is the second column'}}
df = pd.DataFrame(columns=data.keys())
df.rename(columns=data, inplace=True)

import pandas as pd

data = [('column1', 'Column 1', 'numeric', 'This is the first column'),
        ('column2', 'Column 2', 'string', 'This is the second column')]
df = pd.DataFrame(columns=pd.MultiIndex.from_tuples(data))

# 使用字典方式访问元数据
print(df.columns['column1']['name'])  # 输出：Column 1
print(df.columns['column1']['type'])  # 输出：numeric
print(df.columns['column1']['description'])  # 输出：This is the first column

# 使用元组方式访问元数据
print(df.columns.get_level_values(0)[0])  # 输出：column1
print(df.columns.get_level_values(1)[0])  # 输出：Column 1
print(df.columns.get_level_values(2)[0])  # 输出：numeric
print(df.columns.get_level_values(3)[0])  # 输出：This is the first column