time span.txt

import pandas as pd
import numpy as np

#Time span
df = pd.read_csv(r'C:\Users\ahmed\Desktop\Movie internship\file\50 Actors.csv',usecols=['years','actor1','actor2','actor3','actor4','actor5','actor6','actor7','actor8','actor9','actor10','actor11','actor12','actor13','actor14','actor15','actor16','actor17','actor18','actor19','actor20','actor21','actor22','actor23','actor24','actor25','actor26','actor27','actor28','actor29','actor30','actor31','actor32','actor33','actor34','actor35','actor36','actor37','actor38','actor39','actor40','actor41','actor42','actor43','actor44','actor45','actor46','actor47','actor48','actor49','actor50','actor51'])
#print(df)
actor = df.values
#print(actor)
count = []
def timeSpan(x):
    w=0

    for i in range(len(x)):
        for j in range(len(x[i])):
            z = x[i][j]            
            y = x[i][len(x[i])-1]
            f = False
            n=(len(x))-1
            while(f == False & n <= (len(x))):
                    if(n<0):
                        break
               # for n in range(len(x)-1,0,-1):
                    #for m in range(len(x[n])-1):
                    m=0;
                    while( m <= (len(x[n])-1)):

                        if z != x[n][m]:
                            w+=1
                            f = False
                        else :
                            count.append(str(z)+":"+str(y)+":"+str(x[n][len(x[m])-1]))
                            print(count)
                           
                            f = True
                            break
                        m+=1    
                    n -= 1
    return count

output = []
output = timeSpan(actor)

finalResult = []
finalResult = list( dict.fromkeys(output) ) 
#print(finalResult)
with open(r'C:\Users\ahmed\Desktop\Movie internship\file\timespan no duplicate.txt', 'w',encoding="utf-8") as f:
    for item in finalResult:
        f.write("%s\n" % item)
#    ------------------------------