|
马上注册,结交更多好友,享用更多功能^_^
您需要 登录 才可以下载或查看,没有账号?立即注册
x
import pandas as pd
data = [["2345", "A", "2022-12-20", "2.1016", "-0.72,2.8, -0.77"],
["004243", "C", "2022-12-15", "2.0891", ", 45,-0.77"],
["519212", "B", "2022-12-10", "333", "1.9733, -0.77, -3.29"],
["162411", "E", "2022-12-9", "0.7071", "-1.64,25, -1.46"],
["007844", "FC", "2022-11-19", "0.6967", '8, 88,-1.46'],
["163208", "G", "2022-11-10", "1.0440", "-0.40, ,-0.40"]]
columns = ["编号", "名称", "日期", "AA", "BCD"]
df = pd.DataFrame(data, columns=columns)
print(df)
想把BCD列,根据逗号分成三列,即增加B,C,D列,求大虾帮忙,谢谢
您好!您可以使用pandas的`str.split()`方法将BCD列根据逗号分成三列。下面是一个示例:
- import pandas as pd
- data = [["2345", "A", "2022-12-20", "2.1016", "-0.72,2.8, -0.77"],
- ["004243", "C", "2022-12-15", "2.0891", ", 45,-0.77"],
- ["519212", "B", "2022-12-10", "333", "1.9733, -0.77, -3.29"],
- ["162411", "E", "2022-12-9", "0.7071", "-1.64,25, -1.46"],
- ["007844", "FC", "2022-11-19", "0.6967", '8, 88,-1.46'],
- ["163208", "G", "2022-11-10", "1.0440", "-0.40, ,-0.40"]]
- columns = ["编号", "名称", "日期", "AA", "BCD"]
- df = pd.DataFrame(data, columns=columns)
- # 将BCD列根据逗号分割成三列,并赋予新的列名B, C, D
- df[['B', 'C', 'D']] = df['BCD'].str.split(',', expand=True)
- # 删除原始的BCD列
- df = df.drop(columns=['BCD'])
- print(df)
复制代码
输出的DataFrame将会如下所示:
- 编号 名称 日期 AA B C D
- 0 2345 A 2022-12-20 2.1016 -0.72 2.8 -0.77
- 1 004243 C 2022-12-15 2.0891 45 -0.77
- 2 519212 B 2022-12-10 333 1.9733 -0.77 -3.29
- 3 162411 E 2022-12-9 0.7071 -1.64 25 -1.46
- 4 007844 FC 2022-11-19 0.6967 8 88 -1.46
- 5 163208 G 2022-11-10 1.0440 -0.40 -0.40
复制代码
现在,BCD列已经被分成了B、C和D三列。
|
|