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→Ploting live data
plt.tight_layout()
plt.tight_layout()
plt.show()
plt.show()
</syntaxhighlight>
=== Subplots ===
<syntaxhighlight lang="python3">
import pandas as pd
from matplotlib import pyplot as plt
plt.style.use('seaborn')
data = pd.read_csv('data.csv')
ages = data['Age']
dev_salaries = data['All_Devs']
py_salaries = data['Python']
js_salaries = data['JavaScript']
fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()
ax1.plot(ages, dev_salaries, color='#444444',
linestyle='--', label='All Devs')
ax2.plot(ages, py_salaries, label='Python')
ax2.plot(ages, js_salaries, label='JavaScript')
ax1.legend()
ax1.set_title('Median Salary (USD) by Age')
ax1.set_ylabel('Median Salary (USD)')
ax2.legend()
ax2.set_xlabel('Ages')
ax2.set_ylabel('Median Salary (USD)')
plt.tight_layout()
plt.show()
fig1.savefig('fig1.png')
fig2.savefig('fig2.png')
</syntaxhighlight>
</syntaxhighlight>