File:Co2 by fuel pie chart.svg
Summary
| Description |
English: To create similar for another country or year get the data on "CO2 Emissions by Energy Source" from
www.iea.org//statistics/ and replace the values in the code below. Install Python and Matplot on your computer, amend the output file name for your country, run the program and upload to a new commons file. |
| Date | |
| Source | Own work |
| Author | Chidgk1 |
| SVG development | |
| Source code | Python codeimport matplotlib.pyplot as plt
import numpy as np
plt.rcdefaults()
plt.style.use('ggplot')
plt.rcParams['font.size'] = 19
plt.rcParams['patch.edgecolor'] = 'black'
plt.rcParams['lines.linewidth'] = 1
plt.figure(figsize=[6,6])
labels = ['Coal', 'Oil', 'Gas']
values = [155.7,112.27,87.3]
colours = ['#754513','darkgrey','khaki']
angle = 90
def func(pct, allvals):
absolute = int(round(pct/100.*np.sum(allvals)))
return "{:.2n}%\n({:d} mt)".format(pct, absolute)
patches, texts, autotexts = plt.pie(values, colors=colours, autopct=lambda pct: func(pct, values), pctdistance=0.6, labels=labels, labeldistance=1.1, shadow=False, startangle=angle)
for at in autotexts:
at.set_fontsize(16.21)
plt.axis('equal')
plt.tight_layout()
plt.gca().set_position([0, 0, 1, 1])
plt.gcf().subplots_adjust(bottom=0.15)
plt.savefig('co2_by_fuel_pie_chart.svg')
|
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