Values instead of percentages with pie chart python

Question

I want to show the values in my pie chart rather than the percent. I understand that it involved the autopct part of the code but I am not familiar with how to manipulate this to present the values.

import csv
import matplotlib.pyplot as plt
filename = "crime.csv"
with open(filename) as file:
    data_from_file = csv.reader(file)
    header_row = next(data_from_file)
    
    ucr_ncic_code = [0,0,0,0,0,0,0,0,0]
    for row in data_from_file:
        crime = int(float(row[6]))
        if crime in range(0,999):
            ucr_ncic_code[0] = ucr_ncic_code[0] +1
        elif crime in range(1000,1999):
            ucr_ncic_code[1] = ucr_ncic_code[1] +1
        elif crime in range(2000,2999):
            ucr_ncic_code[2] = ucr_ncic_code[2] +1
        elif crime in range(3000,3999):
            ucr_ncic_code[3] = ucr_ncic_code[3] +1
        elif crime in range(4000,4999):
            ucr_ncic_code[4] = ucr_ncic_code[4] +1
        elif crime in range(5000,5999):
            ucr_ncic_code[5] = ucr_ncic_code[5] +1
        elif crime in range(6000,6999):
            ucr_ncic_code[6] = ucr_ncic_code[6] +1
        elif crime in range(7000,7999):
            ucr_ncic_code[7] = ucr_ncic_code[7] +1
        elif crime in range(8000,8999):
            ucr_ncic_code[8] = ucr_ncic_code[8] +1
        print(ucr_ncic_code)

explode = (0,.25,0,0,0,0,0,0,.25)
fig1,ax1 = plt.subplots()

ax1.pie(ucr_ncic_code,explode = explode, autopct = '%1.1f%%', shadow=False, startangle=45)

ax1.axis('equal')
plt.savefig('myplot')
plt.show()

Answer 1

You'll have to define a function for the autopct parameter:

def make_autopct(values):
    def my_autopct(pct):
        total = sum(values)
        val = int(round(pct*total/100.0))
        return '{v:d}'.format(v=val)
    return my_autopct

Then add it to ax1.pie, while including your list of values (ucr_ncic_code in this case):

ax1.pie(ucr_ncic_code, explode=explode, autopct=makeautopct(ucr_ncic_code), shadow=False, startangle=45)

This would make the final code:

import csv
import matplotlib.pyplot as plt

def make_autopct(values):
    def my_autopct(pct):
        total = sum(values)
        val = int(round(pct*total/100.0))
        return '{v:d}'.format(v=val)
    return my_autopct

filename = "crime.csv"

with open(filename) as file:
    data_from_file = csv.reader(file)[enter image description here][1]
    header_row = next(data_from_file)
    
    ucr_ncic_code = [0,0,0,0,0,0,0,0,0]
    for row in data_from_file:
        crime = int(float(row[6]))
        if crime in range(0,999):
            ucr_ncic_code[0] = ucr_ncic_code[0] +1
        elif crime in range(1000,1999):
            ucr_ncic_code[1] = ucr_ncic_code[1] +1
        elif crime in range(2000,2999):
            ucr_ncic_code[2] = ucr_ncic_code[2] +1
        elif crime in range(3000,3999):
            ucr_ncic_code[3] = ucr_ncic_code[3] +1
        elif crime in range(4000,4999):
            ucr_ncic_code[4] = ucr_ncic_code[4] +1
        elif crime in range(5000,5999):
            ucr_ncic_code[5] = ucr_ncic_code[5] +1
        elif crime in range(6000,6999):
            ucr_ncic_code[6] = ucr_ncic_code[6] +1
        elif crime in range(7000,7999):
            ucr_ncic_code[7] = ucr_ncic_code[7] +1
        elif crime in range(8000,8999):
            ucr_ncic_code[8] = ucr_ncic_code[8] +1
        print(ucr_ncic_code)

explode = (0,.25,0,0,0,0,0,0,.25)
fig1,ax1 = plt.subplots()

ax1.pie(ucr_ncic_code, explode=explode, autopct=make_autopct(ucr_ncic_code), shadow=False, startangle=45)

ax1.axis('equal')
plt.savefig('myplot')
plt.show()

A run of this code (I had to use random values because you have not provided crime.csv): https://i.sstatic.net/O2jnb.png