I can load multiple csv files into multiple pandas dataframes i.e. a, b and c as shown below. However since a, b and c are part of a list, how can I use the item_list list to get items (i.e. a, b and c) instead of manually typing them?
item_list = ['a', 'b', 'c']
file_list = [x '.csv' for x in item_list]
a, b, c = (pd.read_csv(f) for f in file_list)
However if I do something like below, the three csv files are stored as list of dataframes.
item_list = (pd.read_csv(f) for f in file_list)
list(item_list)
Result:
[ name
0 a
1 a
2 a,
name
0 b
1 b
2 b,
name
0 c
1 c
2 c]
I simply want the dataframes to be stored in respective a, b and c dataframes without the need to type them explicitly. Imagine the situation when the list is large and not just three (i.e. a, b and c) in example shown above.
CodePudding user response:
You can use a list comprehension.
item_list = [pd.read_csv(f) for f in file_list]
