34 lines
855 B
Python
34 lines
855 B
Python
import pandas as pd
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from matplotlib import pyplot as plt
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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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plt.plot(ages, dev_salaries, color='#444444',
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linestyle='--', label='All Devs')
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plt.plot(ages, py_salaries, label='Python')
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overall_median = 57287
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plt.fill_between(ages, py_salaries, dev_salaries,
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where=(py_salaries > dev_salaries),
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interpolate=True, alpha=0.25, label='Above Avg')
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plt.fill_between(ages, py_salaries, dev_salaries,
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where=(py_salaries <= dev_salaries),
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interpolate=True, color='red', alpha=0.25, label='Below Avg')
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plt.legend()
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plt.title('Median Salary (USD) by Age')
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plt.xlabel('Ages')
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plt.ylabel('Median Salary (USD)')
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plt.tight_layout()
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plt.show()
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