demo.py

# -*- coding: utf-8 -*-
# @Author: manjusv
# @Date:   2019-07-09 12:17:17
# @Last Modified by:   manjusv
# @Last Modified time: 2019-07-09 12:35:34

from matplotlib import pyplot as plt

plt.style.use('fivethirtyeight')

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

# Median Developer Salaries by Age
dev_y = [38496, 42000, 46752, 49320, 53200,
         56000, 62316, 64928, 67317, 68748, 73752]
plt.plot(ages_x, dev_y, color='k', linestyle='--', marker='o', label='All Devs')

# Median Python Developer Salaries by Age
py_dev_y = [45372, 48876, 53850, 57287, 63016,
            65998, 70003, 70000, 71496, 75370, 83640]
plt.plot(ages_x, py_dev_y, color='b', linestyle='-', marker='o', label='Python')

# Median JavaScript Developer Salaries by Age
js_dev_y = [37810, 43515, 46823, 49293, 53437,
            56373, 62375, 66674, 68745, 68746, 74583]
plt.plot(ages_x, js_dev_y, label='JavaScript')


plt.title("Median Salary (USD) by age")
plt.xlabel("Ages")
plt.ylabel("median Salary (USD)")
plt.legend()
plt.tight_layout()
plt.savefig('plot.png')
plt.show()