Splitting dataframe into multiple dataframes

Question

I have a very large dataframe (around 1 million rows) with data from an experiment (60 respondents).

I would like to split the dataframe into 60 dataframes (a datafra

Answer 1

I had similar problem. I had a time series of daily sales for 10 different stores and 50 different items. I needed to split the original dataframe in 500 dataframes (10stores*50stores) to apply Machine Learning models to each of them and I couldn't do it manually.

This is the head of the dataframe:

I have created two lists; one for the names of dataframes and one for the couple of array [item_number, store_number].

    list=[]
    for i in range(1,len(items)*len(stores)+1):
    global list
    list.append('df'+str(i))

    list_couple_s_i =[]
    for item in items:
          for store in stores:
                  global list_couple_s_i
                  list_couple_s_i.append([item,store])

And once the two lists are ready you can loop on them to create the dataframes you want:

         for name, it_st in zip(list,list_couple_s_i):
                   globals()[name] = df.where((df['item']==it_st[0]) & 
                                                (df['store']==(it_st[1])))
                   globals()[name].dropna(inplace=True)

In this way I have created 500 dataframes.

Hope this will be helpful!