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发表于 2023-4-24 22:10:04
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本楼为最佳答案
您好!首先,我需要您先导入Pandas库。接着,我们可以使用pd.to_numeric()函数将这两列转换为数字,然后相除以创建新列"AB"。以下是您需要的代码:
- import pandas as pd
- data =[["2345","A","2022-12-20","2.1016","-0.72","-0.77"],["004243","C","2022-12-15","2.0891","","-0.77"],
- ["519212","B","2022-12-10","","1.9733","-0.77","-3.29"],["162411","E","2022-12-9","0.7071","-1.64","-1.46"],
- ["007844","FC","2022-11-19","0.6967",None,"-1.46"],["163208","G","2022-11-10","1.0440","-0.40","-0.40"]]
- columns = ["编号","名称","日期","AA","BB","C","数值88"]
- df2 = pd.DataFrame(data, columns=columns)
- print(df2)
- # 将'AA'和'BB'两列转换为数字类型,并将无法转换的值替换为NaN
- df2['AA'] = pd.to_numeric(df2['AA'], errors='coerce')
- df2['BB'] = pd.to_numeric(df2['BB'], errors='coerce')
- # 计算新列'AB'
- df2['AB'] = df2['AA'] / df2['BB']
- print(df2)
复制代码
运行上述代码后,您将得到包含新列"AB"的DataFrame。"AB"列的值为"AA"列除以"BB"列的值,非数字的值将转换为NaN。
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