import matplotlib.pyplot as plt
import numpy as np

import pandas as pd

data = pd.read_excel("Group-Training-Male-Cancer-statistics.xlsx")

data

	Unnamed: 0	Male	%
0	Prostate	299010	29.0
1	Lung & bronchus	116310	11.0
2	Colon & rectum	81540	8.0
3	Urinary bladder	63070	6.0
4	Melanoma of the skin	59170	6.0
5	Kidney & renal pelvis	52380	5.0
6	Non-Hodgkin lymphoma	44590	4.0
7	Oral cavity & pharynx	41510	4.0
8	Leukemia	36450	4.0
9	Pancreas	34530	3.0
10	All sites	1029080	NaN

Cancers = data['Unnamed: 0']
Number = data['Male']
# The code below deletes the last row of the data so that the chart is accurate.
Number.drop(Number.tail(1).index,inplace=True)
Cancers.drop(Cancers.tail(1).index,inplace=True) 

fig, ax = plt.subplots()
ax.pie(Number, labels=Cancers)
plt.show()

# In the picture that was given there was no prostate cancer so this chart also doesn't have prostate cancer.
Number.drop(Number.head(1).index,inplace=True)
Cancers.drop(Cancers.head(1).index,inplace=True)

fig, ax = plt.subplots()
ax.pie(Number, labels=Cancers)
plt.show()