在pandas DataFrame中添加根据现有列和API调用计算出的列

import pandas as pd
import requests

df = pd.DataFrame({'列1': [值1, 值2, 值3, ...],
                   '列2': [值1, 值2, 值3, ...],
                   ...
                   '列n': [值1, 值2, 值3, ...]})

response = requests.get(api_call)
data = response.json()

computed_column = data['计算列']

df['计算列'] = computed_column

import pandas as pd
import requests

# 创建DataFrame
df = pd.DataFrame({'列1': [值1, 值2, 值3, ...],
                   '列2': [值1, 值2, 值3, ...],
                   ...
                   '列n': [值1, 值2, 值3, ...]})

# API调用
response = requests.get(api_call)
data = response.json()

# 提取计算列
computed_column = data['计算列']

# 添加计算列到DataFrame中
df['计算列'] = computed_column