Python MATPLOTLIB

Topics:

1. MATPLOTLIB

pip3 install matplotlib

#LINEAR CHART

from matplotlib import pyplot as plt

ages_x = [25,26,27,28,29,30,31,32,33,34,35]

java_dev_y = [38496,42000,46752,49320,53200,56000,62316,64928,67317,68748,73752]
py_dev_y = [45372,48876,53850,57287,63016,65998,70003,70000,71496,75370,83640]

plt.plot(ages_x, java_dev_y, color='#444444', linestyle='--', marker='.', label='All Devs')
plt.plot(ages_x, py_dev_y, color='#5a7d9a', marker='o', label='Python')

plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')
plt.title('Median Salary (USD) by Age')

plt.legend()
plt.show()

#PIE CHART

from matplotlib import pyplot as plt

plt.style.use('fivethirtyeight')

slices = [120, 80, 60, 40]
labels = ['one','two','three','four']
colors = ['#008fd5','#fc4f30','#e5ae37','#6d904f']

plt.pie(slices, labels=labels, colors=colors, wedgeprops={'edgecolor':'black'})
plt.title('My Pie Chart')
plt.tight_layout()
plt.show()

from matplotlib import pyplot as plt

plt.style.use('fivethirtyeight')

slices = [120, 80, 60, 40, 30]
labels = ['one','two','three','four', 'five']
colors = ['#008fd5','#fc4f30','#e5ae37','#6d904f','#f4f4cc']

plt.pie(slices, labels=labels, shadow=True, startangle=90, autopct='%1.1f%%', colors=colors, wedgeprops={'edgecolor':'black'})
plt.title('My Pie Chart')
plt.tight_layout()
plt.show()

#End

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#33 - Python MATPLOTLIB

By Ifeanyi Omeata