Create pie chart from Clockify

clock.py

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from sys import argv

sns.set()

def load_tasks(dataframe):
    del dataframe['Project']
    del dataframe['Client']
    del dataframe['Time (h)']
    del dataframe['Amount (USD)']
    return dataframe

[week_1_data, week_2_data] = [
    load_tasks(pd.read_csv(csv)) for csv in argv[1:]
]

for i, week in enumerate([week_1_data, week_2_data]):
    data = week.groupby("Description")["Time (decimal)"].sum()

    #Using matplotlib
    pie, ax = plt.subplots(figsize=[10,6])
    labels = data.keys()
    plt.pie(x=data, autopct="%.1f%%", explode=[0.05]*len(data), labels=labels, rotatelabels=True)
    plt.title("Labor Allocation", fontsize=14);
    pie.savefig(f"week_{i}_pie.png")


print(week_1_data.head())
print(week_2_data.head())