[yiyiyi]

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And then to answer your loop question, if you’d like to read in these df using loops, this is definitely feasible. We could simply do something like this: for i in range(Len(row)): [list of names you defined before] [i] = raw[i]

[yiyiyi]

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Hello, very good question, but in this case, we don’t need to convert these 20 elements into date frames because they are already date frames. You could use isinstance(raw[X], pd.DataFrame) to check and we will see that these are data frames already.

[yiyiyi]

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because when we call every element from the list, the one we are calling is actually the name. So what I refers is:

we need the name but not overwrite. You could try:

locals()[“df”+ str(i) ] = raw[i]

this will create 20 dfs with names df1 … df20 like you did

• This reply was modified 4 years, 5 months ago by  Justin.
• This reply was modified 4 years, 5 months ago by  Justin.