How to display the result of app profile recommendation for android as a dictionary and find category with highest average.

[Shivam23Thaman]

Here's my code `diff_categories = freq_table(android_final, 1)
for category in diff_categories:
total = 0
len_category = 0
for app in android_final:
apps_category = app[1]
if apps_category == category:
n_installs = app[5]
n_installs = n_installs.replace('+','')
n_installs = n_installs.replace(',','')

        total += float(n_installs)
        len_category += 1
avg_category = total / len_category
print(category, " : ", avg_category)



        `

[mahadinfo]

Here's my code you can try:

category_android = freq_table(android_final, 1)

avg_installs_category = {} # Initialized an empty dictionary
for category in category_android:
    total = 0
    len_category = 0
    for row in android_final:
        app_cat = row[1]
        if app_cat == category:
            no_installs = row[5]
            no_installs = no_installs.replace(',', '')
            no_installs = no_installs.replace('+', '')
            total += float(no_installs)
            len_category += 1
            
    avg_installs = total / len_category
#     print(category, ':', avg_installs)
    
    if category in avg_installs_category:
        avg_installs_category[category] += avg_installs
    else:
        avg_installs_category[category] = avg_installs

# print(avg_installs_category)

avg_installs_cat_tup = [] # Initialized an empty tuple
for key in avg_installs_category:
    val_key = avg_installs_category[key], key
    avg_installs_cat_tup.append(val_key)
    
print(sorted(avg_installs_cat_tup, reverse=True))