In [1]:

from matplotlib import pyplot as plt

In [2]:

plt.style.use('seaborn-white')
plt.rc('figure', figsize=(8, 6))

In [3]:

# slices = [60, 40]
# Colors:
# Blue = #008fd5
# Red = #fc4f30
# Yellow = #e5ae37
# Green = #6d904f

slices = [120, 80, 30, 20]
labels = ['Sixty', 'forty', 'Extra1', 'Extra1']
colors = ['#008fd5', '#fc4f30', '#e5ae37', '#6d904f']

# https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.patches.Wedge.html

plt.pie(slices, labels=labels, colors=colors,
        wedgeprops={'edgecolor': 'black'})

plt.title('My Awesome Pie Chart')
plt.tight_layout()
plt.show()

In [4]:

# Language Popularity
slices = [59219, 55466, 47544, 36443, 35917]

labels = ['JavaScript', 'HTML/CSS', 'SQL', 'Python', 'Java']

In [5]:

explode = [0, 0, 0, 0.1, 0]

In [6]:

plt.xkcd()
plt.pie(slices, labels=labels, explode=explode, shadow=True,
        startangle=90, autopct='%1.1f%%',
        wedgeprops={'edgecolor': 'black'})

# explode - to emphasis on a cut
# shadow - to give a shadow to the chart
# startangle - start at a certain angle
# autopct - calculate percentages


plt.title('My Awesome Pie Chart')
plt.tight_layout()
plt.savefig(r'plots/plot3-1.png')
plt.show()