How to get existing pandas dataframe from a string variable?

Question

I have a lot of dataframes which are sequentially named in the format "set1", "set2", "set3" ....

I need to run a for loop across all the dataframes to carry out various operations in this dataframes.

How will I convert the string "set1" to the dataframe set1 so that I can carry out operations like set1.index, set1.columns e.t.c

please share certain codes which you have tried till now , and what are the errors you facing?Share any example set. — vrana95
– vrana95, Commented Jun 3, 2019 at 9:01
I have not received any approapriate information regarding the issue even after a lot of research, hence I have not executed any code — Sangeeth Mukundan
– Sangeeth Mukundan, Commented Jun 3, 2019 at 9:04

mikaël · Accepted Answer · 2019-06-03 09:46:39Z

1

Depending on whether the variables are located in the global environment or are local to the scope you are working in, you can use

## access global variable by string name
globals()['set1']

## access local variable by string name
locals()['set1']

answered Jun 3, 2019 at 9:11

mikaël

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