如何从名称列表中重命名每个 dataframe

Question

I've searched online a lot but it wasn't useful. That's where I'm stuck:

path = os.getcwd() # define path
csv_files = glob.glob(os.path.join(path, "*.csv")) # read all files with suffix csv

list_of_dataframes = [] # create empty array
names = []
for f in csv_files:
    df = pd.read_csv(f)
    list_of_dataframes.append(df) # add all dfs in this object
    names.append(f.split("\\")[-1].replace(".csv", "")) # double slash to set where to split data (try without to understand)
    # -1 to get final part of string (they are paths)
    # command strip, lstrip and rstrip is not useful, let's use replace
    print(f.split("\\")[-1].replace(".csv", ""))

Here I loaded all the csvs from directory and saved them.
In names I have this:

['circuits',
 'constructors',
 'constructor_results',
 'constructor_standings',
 'drivers',
 'driver_standings',
 'lap_times',
 'pit_stops',
 'qualifying',
 'races',
 'results',
 'seasons',
 'sprint_results',
 'status']

These are the names I want to call each corresponding dataframe.
list_of_dataframes is another list with all dataframes appended.

What I want to achieve is:

circuits = list_of_dataframes[0]
constructors = list_of_dataframes[1]
...

So I want to be able to call each dataframes by its csv name.
I've tried that but it's not working as I would:

for i in range(len(list_of_dataframes)):
    names[i] = pd.DataFrame(list_of_dataframes[i]) 

Answer 1

Honestly, your problem statement is quite confuse for me.

If I understand correctly, you have a Dataframe df that is linked to the filename where its data came from. I would use a dict in this case since you already have the name<->value . Thus:

dfs={}
for filename in ....:
    dfs[filename]=pd.read_csv(filename) 

Answer 2

path = os.getcwd() # define path
csv_files = glob.glob(os.path.join(path, "*.csv")) # read all files with suffix csv

df = {}
for f in csv_files:
    fileName = f.split("\\")[-1].replace(".csv", "")
    df[fileName] = pd.read_csv(f)

you can create dictionary of dataframe and accessed all your data frame by df['circuits'] etc..