操作后在循环中保存panda数据流

我有一个循环，它获取一系列现有的数据帧并操作它们的格式和值。我需要知道如何在循环结束时创建包含修改内容的新dataframes。 例子如下:

import pandas as pd

# Create datasets
First = {'GDP':[200,175,150,100]}
Second = {'GDP':[550,200,235,50]}

# Create old_dataframes
old_df_1 = pd.DataFrame(First)
old_df_2 = pd.DataFrame(Second)

# Define references and dictionary
old_dfs = [old_df_1, old_df_2]
new_dfs = ['new_df_1','new_df_2']
dictionary = {}

# Begin Loop
for df, name in zip(old_dfs, new_dfs):

    # Multiply all GDP values by 1.5 in both dataframes
    df = df * 1.5    

    # ISSUE HERE - Supposed to Create new data frames 'new_df_1' & 'new_df_2' containing df*1.5 values: Only appends to dictionary. Does not create new_df_1 & new_df_2
    dictionary[name] = df

# Check for the existance of 'new_df_1 & new_df_2' (They will not appear)
%who_ls DataFrame

问题:我已经在上面做了标记。我的代码没有创建'new_df_1' & 'new_df_2'数据流。它只是将它们附加到dictionary中。我需要能够创建new_df_1和new_df_2作为单独的数据流。 问题来源StackOverflow 地址：/questions/59384898/save-pandas-dataframes-in-loop-after-manipulating