python pandas 重新索引將所有數據轉換為 NaN

Question

import pandas as pd

import numpy as np

data = np.random.randint(10,100,15).reshape(5,3)


df = pd.DataFrame(data,index = ["a","c","e","f","h"],columns = ["column1","column2","column3"])

df = df.reindex([["a","b","c","d","e","f","g","h"]])

result = df

result = df.drop("column1",axis = 1)

print(result)

Answer 1

好的，伙計們。我解決了問題。錯誤是方括號。在 df.reindex 部分，我使用了 2 個方括號。但我應該使用一個。非常感謝你的幫助。