dynamically create variables' names in python

[marco_ita]

Thanks for your recommendations guys.
I created a list in the below way:

dfs = []
for df_gen in np.arange (min_range_v, max_range_v):
    df_name = 'df_'+str(int(df_gen+min_year))
    dfs.append(df_name)
dfs

it returns this:

Output:
['df_2001',
 'df_2002',
 'df_2003',
 'df_2004',
 'df_2005',
 'df_2006',
 'df_2007',
 'df_2008',
 'df_2009',
 'df_2010',
 'df_2011',
 'df_2012',
 'df_2013',
 'df_2014',
 'df_2015',
 'df_2016',
 'df_2017',
 'df_2018',
 'df_2019']

In between the above an the below there is some code that populate the dataframe df.
The above list contains exactly the dataframes names i want to create BUT, when i try to access them i can't use the names (for example df_2001) instead i must use dfs[0] but that create an issue as all the info that i add at each for loop, it is mixed with the previous updated df.
This is what i do after the above:
In order to insert the new df info at each loop, i created a new df and i copy the existing df at each loop, then reset it at the beginning of the loop till it ends the loop and add it to the below:

some dynamically generated code to populate the dataframe df.
then at the end of the loop (just before it ends):

dfs[i] = df.copy()

but in the above way i can't obtains several different dataframes, and additionally if i try to call

df_2001

i get the below:

Error:
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-27-81242f59523c> in <module>
----> 1 df_2001

NameError: name 'df_2001' is not defined

i also tried to do the below:

str(dfs[0])

but still it doesnt create a variable/dataframe name...
i am really struggling with it...

If i call

dfs[0]

i get the dataframe but can't use the name df_2001
and if i call

dfs[0].shape

i get the below (which is way larger than what the dfs[0] is supposed to be as it should contain MAX 365 days (rows).
but what i get is this:

Output:
(4784, 62)

and the same output happen for every other dfs[i].

How can i sort it out to make sure i can access exactly the different dfs[i] like if they were independent dataframes?
potentially how can i access them with the name df_2001 etc?
Many thanks in advance for your great help,
Marco.