如何在 For 循环中创建多个数据框

Question

I have a list of names (I changed them to letters) that correspond with values in a data frame column.

names = ['A','B','C','D','E','F','G','H']

I am trying to create a separate data frame for each name containing that name's associated QTY grouped by part number.

for x in names:
    name_data = data[data['Name']== x]
    name_dict = name_data.groupby(['Part No.']).Quantity.sum().to_dict()
    df1= pd.DataFrame.from_dict(name_dict, orient = 'index',columns = ['QTY'])

As you can see from the code each time it loops it writes the new loop data over the previous loop's data in df1. How to I iterate a new data frame name each time it loops, so that I end of with 8 separate data frames?

Answer 1

You could save the dataframes to a list :

list_of_dfs = list()

for x in names:
    df = data[data['Name'].eq(x)].groupby('Part No.')['Quantity'].sum().rename("QTY").to_frame()
    list_of_dfs.append(df)