In [1]:

import pandas as pd
from matplotlib import pyplot as plt

In [2]:

plt.style.use('seaborn')
plt.rc('figure', figsize=(12, 10))

In [3]:

data = pd.read_csv(r'examples/data_10.csv')
ages = data['Age']
dev_salaries = data['All_Devs']
py_salaries = data['Python']
js_salaries = data['JavaScript']

In [4]:

plt.plot(ages, py_salaries, label='Python')
plt.plot(ages, js_salaries, label='JavaScript')

plt.plot(ages, dev_salaries, color='#444444',
         linestyle='--', label='All Devs')

plt.legend()

plt.title('Median Salary (USD) by Age')
plt.xlabel('Ages')
plt.ylabel('Median Salary (USD)')

plt.tight_layout()

plt.show()

In [5]:

fig, ax = plt.subplots()
# default to 1, 1

ax.plot(ages, py_salaries, label='Python')
ax.plot(ages, js_salaries, label='JavaScript')

ax.plot(ages, dev_salaries, color='#444444',
         linestyle='--', label='All Devs')

ax.legend()

ax.set_title('Median Salary (USD) by Age')
ax.set_xlabel('Ages')
ax.set_ylabel('Median Salary (USD)')

plt.tight_layout()

plt.show()

In [6]:

fig, (ax1, ax2) = plt.subplots(2, 1, sharex=True)
# on the same figure

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_xlabel('Ages')
ax1.set_ylabel('Median Salary (USD)')

ax2.legend()
# ax2.set_title('Median Salary (USD) by Age')
ax2.set_xlabel('Ages')
ax2.set_ylabel('Median Salary (USD)')

plt.tight_layout()

plt.show()

In [7]:

fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()
# on different figure

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_xlabel('Ages')
ax1.set_ylabel('Median Salary (USD)')

ax2.legend()
ax2.set_title('Median Salary (USD) by Age')
ax2.set_xlabel('Ages')
ax2.set_ylabel('Median Salary (USD)')

plt.tight_layout()

plt.show()

fig1.savefig('plots/plot10_1.png')
fig2.savefig('plots/plot10_2.png')