In [2]:
import pandas as pd
from matplotlib import pyplot as plt
In [7]:
data = pd.read_csv('data.csv')
ages = data['Age']
dev_salaries = data['All_Devs']
py_salaries = data['Python']
js_salaries = data['JavaScript']
In [5]:
plt.style.use('seaborn')

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 [12]:
#creating subplots
fig, ax = plt.subplots()
print(ax)

AxesSubplot(0.125,0.125;0.775x0.755)
In [13]:
fig, ax = plt.subplots(nrows=2,ncols=1)
print(ax)

[<matplotlib.axes._subplots.AxesSubplot object at 0x7f13494228d0>
 <matplotlib.axes._subplots.AxesSubplot object at 0x7f1349453208>]
In [14]:
fig, ax = plt.subplots(nrows=2,ncols=2)
print(ax)

[[<matplotlib.axes._subplots.AxesSubplot object at 0x7f13493cfe48>
  <matplotlib.axes._subplots.AxesSubplot object at 0x7f1349371da0>]
 [<matplotlib.axes._subplots.AxesSubplot object at 0x7f1349327780>
  <matplotlib.axes._subplots.AxesSubplot object at 0x7f13492e4160>]]
In [17]:
#using rows=2 and ncols=1
fig, (ax1, ax2) = plt.subplots(nrows=2,ncols=1)

print(ax1)
print(ax2)

AxesSubplot(0.125,0.536818;0.775x0.343182)
AxesSubplot(0.125,0.125;0.775x0.343182)
In [22]:
#different figure different plots
fig, (ax1, ax2) = plt.subplots(nrows=2,ncols=1, sharex=True)

plt.style.use('seaborn')

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_ylabel('Median Salary (USD)')

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

plt.tight_layout()

plt.show()
In [24]:
fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()

plt.style.use('seaborn')

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 [ ]:
#saving figures
fig1.savefig('fig1.png')
fig2.savefig('fig2.png')