How do I add a dynamic list of variable to the command pd.concat - python-3.x

Question

I am using python3 and pandas to create a script that will:
Be dynamic across different dataset lengths(rows) and unique values - completed
Take unique values from column A and create separate dataframes as variables for each unique entry - completed
Add totals to the bottom of each dataframe - completed
Concatenate the separate dataframes back together - incomplete
The issue is I am unable to formulate a way to create a list of the variables in use and apply them as arg in to the command pd.concat.
The sample dataset. The dataset may have more unique BrandFlavors or less which is why the script must be flexible and dynamic.
Script:
import pandas as pd
import warnings
warnings.simplefilter(action='ignore')
excel_file = ('testfile.xlsx')
df = pd.read_excel(excel_file)
df = df.sort_values(by='This', ascending=False)
colarr = df.columns.values
arr = df[colarr[0]].unique()
for i in range(len(arr)):
globals()['var%s' % i] = df.loc[df[colarr[0]] == arr[i]]
for i in range(len(arr)):
if globals()['var%s' % i].empty:
''
else:
globals()['var%s' % i] = globals()['var%s' % i].append({'BrandFlavor':'Total',
'This':globals()['var%s' % i]['This'].sum(),
'Last':globals()['var%s' % i]['Last'].sum(),
'Diff':globals()['var%s' % i]['Diff'].sum(),
'% Chg':globals()['var%s' % i]['Diff'].sum()/globals()['var%s' % i]['Last'].sum() * 100}, ignore_index=True)
globals()['var%s' % i]['% Chg'].fillna(0, inplace=True)
globals()['var%s' % i].fillna(' ', inplace=True)
I have tried this below, however the list is a series of strings
vararr = []
count = 0
for x in range(len(arr)):
vararr.append('var' + str(count))
count = count + 1
df = pd.concat([vararr])
pd.concat does not recognize a string. I tired to build a class with an arg defined but had the same issue.
The desired outcome would be a code snippet that generated a list of variables that matched the ones created by lines 9/10 and could be referenced by pd.concat([list, of, vars, here]). It must be dynamic. Thank you

Answer 1

Just fixing the issue at hand, you shouldn't use globals to make variables, that is not considered good practice. Your code should work with some minor modifications.
import pandas as pd
import warnings
warnings.simplefilter(action='ignore')
excel_file = ('testfile.xlsx')
df = pd.read_excel(excel_file)
df = df.sort_values(by='This', ascending=False)
def good_dfs(dataframe):
if dataframe.empty:
pass
else:
this = dataframe.This.sum()
last = dataframe.Last.sum()
diff = dataframe.Diff.sum()
data = {
'BrandFlavor': 'Total',
'This': this,
'Last': last,
'Diff': diff,
'Pct Change': diff / last * 100
}
dataframe.append(data, ignore_index=True)
dataframe['Pct Change'].fillna(0.0, inplace=True)
dataframe.fillna(' ', inplace=True)
return dataframe
colarr = df.columns.values
arr = df[colarr[0]].unique()
dfs = []
for i in range(len(arr)):
temp = df.loc[df[colarr[0]] == arr[i]]
dfs.append(temp)
final_dfs = [good_dfs(d) for d in dfs]
final_df = pd.concat(final_dfs)
Although I will say, there are far easier ways to accomplish what you want without doing all of this, however that can be a separate question.