1回答

麦兜搞IT

2024-01-17

试试这个呢

import pandas as pd

# 假设包含日期的列名为'date_column'

df = pd.read_csv('city_weather.csv')

g = df.groupby(df['city'])

df_bj = g.get_group('BJ')

# 拆分拼接的日期并转换为数值型数据

df_bj['date_column'] = df_bj['date_column'].apply(lambda x: [int(date) for date in x.split('/')])

0

1

慕设计1336241

上述代码执行后出现的错误 C:\Users\Thinkpad\AppData\Local\Temp\ipykernel_177996\296147031.py:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy df_bj['date'] = df_bj['date'].apply(lambda x: [int(date) for date in x.split('/')])

2024-07-25

共1条回复