per year.txt

import pandas as pd
df = pd.read_csv(r'C:\Users\NADA LABIB\Desktop\Analysis-of-Egyptian-Movies\data.csv', usecols=[' تاريخ العرض'])
#print(df)

prodYear = df.values
date = []
for i in prodYear:
    date.append(i[0].split(' '))   
#print(date)    
    
    
def checkIfYear(y):
    if len(y)!= 4:
        return False
    for n in y :
        if not n.isdigit():
            return False
    return True

year = []
def takingYears(l):
    for i in range(len(l)):
        for j in range(len(l[i])):
            if checkIfYear(l[i][j]):
                year.append(l[i][j])
    return year

output = []            
output = takingYears(date)
#print(output)

count = []
def countingYears (o):
    for i in range(len(o)):
        counter = 0
        for j in range(len(o)):
            if o[i] == o[j]:
                counter += 1
                s = str(counter)
        count.append(o[i]+":"+ s)
    return count

output2 = []
output2 = countingYears(output)

#list after removing duplicates
output2 = list( dict.fromkeys(output2) ) 
print(output2)