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[英]adding values to pandas dataframe columns based on another dataframe
[英]Adding a header/another row to a pandas dataframe based on some columns
import pandas as pd
cols = pd.MultiIndex.from_tuples([("Buyer details", "Buyer Name"),
("Buyer details", "Buyer Address"),
("Oder Details", "Order Id"),
("Oder Details", "Order description"),
("Oder Details", "Order person"),
("Item Details", "Item Link"),
("Item Details", "Item cost")])
df = pd.DataFrame(columns=cols)
print(df)
我假设您已经有一个 dataframe ,其内部级别的列名显示在您的图片中。 那么在不知道列名的情况下,一种方法是:
cols = df.columns
df.columns = pd.MultiIndex.from_arrays(
[[''] * len(cols), cols]).map(lambda x: (x[1].split()[0] + ' details', x[1]))
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