How to create a new dataframe with every iteration of for loop in Python

Question

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#### the data is inverted #######

#### To bring back to its original position ####### 
   df_1= df_i.iloc[::-1]

#### Set index a         


        

Answer 1

You should make up your question so that other people will get max advantage from this site.

I will try to propose solution to this question.

On every iteration I want create a new data frame, How?

The idea is to store the dataframes as values of a dictionary.

cnt = 22  # your loop
dict_of_df = {} # initialize empty dictionary

for i in range(0,22):
    newname = df_sheetnames['col'].values[i]
    dict_of_df["df_{}".format(i)] = pd.read_excel('DATA.xlsx', sheetname=newname, skiprows=6, usecols=[14,15,16])

You can access the dataframes by call dict_of_df[key], where key = "df_1", "df_2", ... , "df_22"

Now you have many dataframes and you want to concat, use pandas.concat()

If you want to rename the columns after that, simply write complete_df.columns = ['col1', 'col2', 'col3', ...]