Full code

fullcode.py

import csv
from collections import defaultdict 
from datetime import datetime 
import matplotlib.pyplot as plt
import numpy as np

def duration_to_seconds(duration):
    elements = duration.split(':')
    hour = int(elements[0])
    min = int(elements[1])
    sec = int(elements[2])
    return hour*60*60 + min*60 + sec 
  
def sortKey(val): 
    date = val[0]
    return datetime.strptime(date, '%m/%d/%Y')


mydict = defaultdict(int)
with open('clockify.csv', 'r') as file:
    reader = csv.reader(file)
    line = 0
    for row in reader:
        line += 1 
        if  line > 1 : 
            date = row[8]
            duration = row[12]
            mydict[date] += duration_to_seconds(duration)


mylist = list(mydict.items())
mylist.sort(key = sortKey)
dates = []
mins = []
for i in range(0,len(mylist)):
    dates.append(mylist[i][0])
    mins.append(int(mylist[i][1]/60))

xpos = np.arange(len(dates))
plt.xticks(xpos,dates)
plt.bar(xpos,mins)
for i in range(0,len(mins)):
    plt.text(xpos[i]-0.075 , mins[i] + 3, str(mins[i]), color='red')
plt.show()