12345678910111213141516171819202122232425262728 |
- from matplotlib import pyplot as plt
- plt.style.use("fivethirtyeight")
- ages_x = [25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
- dev_y = [38496, 42000, 46752, 49320, 53200,
- 56000, 62316, 64928, 67317, 68748, 73752]
- plt.plot(ages_x, dev_y, color="#444444", label="All Devs")
- # py_dev_y = [45372, 48876, 53850, 57287, 63016,
- # 65998, 70003, 70000, 71496, 75370, 83640]
- # plt.plot(ages_x, py_dev_y, color="#008fd5", label="Python")
- # js_dev_y = [37810, 43515, 46823, 49293, 53437,
- # 56373, 62375, 66674, 68745, 68746, 74583]
- # plt.plot(ages_x, js_dev_y, color="#e5ae38", label="JavaScript")
- plt.legend()
- plt.title("Median Salary (USD) by Age")
- plt.xlabel("Ages")
- plt.ylabel("Median Salary (USD)")
- plt.tight_layout()
- plt.show()
|