Pythonic way to associate list of dataframes to list of strings

Question

In encountered this problem when converting a json object to a csv:

I now have two lists:

list_A is a list of strings. Each string is a name of df.

Answer 1

You can associate them with a dict:

df_dict = dict(zip(list_A, list_B))

df_dict['df1'].head() ## Returns the first 10 rows of list_B[0]

Answer 2

If you want three variables, the best way to do it is to assign them like this:

df1, df2, df3 = list_B

This will unpack the list giving values to each variable.

For too many variables use:

{'df{}'.format(i): df for i, df in enumerate(list_B, 1)}

Answer 3

Either use a dictionary:

dfs = dict(zip(list_A, list_B))

then access individual dataframes with dfs['df1']:

list_a = ['a', 'b', 'c']
list_b = [1, 2, 3]
d = dict(zip(list_a, list_b))
print(d['a'])
# 1

or hack locals:

for name, df in zip(list_A, list_B):
    locals()[name] = df

Then you can access individual dataframes directly, df1, df2 etc:

list_a = ['a', 'b', 'c']
list_b = [1, 2, 3]
for key, value in zip(list_a, list_b):
    locals()[key] = value
print(a)
#  1