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Matplotlib (edit)

Revision as of 20:15, 12 February 2022

790 bytes added ,  20:15, 12 February 2022
m
→‎Ploting live data
Line 378: Line 378:  
plt.tight_layout()
 
plt.tight_layout()
 
plt.show()
 
plt.show()
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</syntaxhighlight>
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=== Subplots ===
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<syntaxhighlight lang="python3">
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import pandas as pd
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from matplotlib import pyplot as plt
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plt.style.use('seaborn')
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data = pd.read_csv('data.csv')
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ages = data['Age']
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dev_salaries = data['All_Devs']
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py_salaries = data['Python']
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js_salaries = data['JavaScript']
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fig1, ax1 = plt.subplots()
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fig2, ax2 = plt.subplots()
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ax1.plot(ages, dev_salaries, color='#444444',
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        linestyle='--', label='All Devs')
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ax2.plot(ages, py_salaries, label='Python')
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ax2.plot(ages, js_salaries, label='JavaScript')
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ax1.legend()
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ax1.set_title('Median Salary (USD) by Age')
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ax1.set_ylabel('Median Salary (USD)')
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ax2.legend()
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ax2.set_xlabel('Ages')
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ax2.set_ylabel('Median Salary (USD)')
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plt.tight_layout()
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plt.show()
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fig1.savefig('fig1.png')
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fig2.savefig('fig2.png')
 
</syntaxhighlight>
 
</syntaxhighlight>
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