如何使用循环 [Pandas, Python] 创建由现有 df 中的列组成的多个日期框架？

Question

I tried to create multiple dataframes based on the columns of an existing dataframe. To keep the code simple and scalable, I used a loop. This is what I tried:

import pandas as pd

for index in range(df.shape[1]):
    df_index = df.iloc[:, [0, index]]

The output of the above code is one dataframe consisting of the first and last column of the dataframe. The desired output is multiple dataframes that consist of the first column and the index in a single iteration .

The dataset I am using consist of 85 columns. The desired output would consist of 85 dataframes.

Answer 1

your code should look like this

import pandas as pd

dfs = []

for index in range(df.shape[1]):
    dfs.append(df.iloc[:, [0, index]])