Subplots

import pandas as pd
import matplotlib.pyplot as plt

data = pd.read_csv("data/salary.csv")

data.head()

	Age	All_Devs	Python	JavaScript
0	18	17784	20046	16446
1	19	16500	17100	16791
2	20	18012	20000	18942
3	21	20628	24744	21780
4	22	25206	30500	25704

ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

plt.plot(ages, py_salaries, label = "Python")
plt.plot(ages, js_salaries, label = "JavaScript")
plt.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")
plt.title("Median Salaries in [USD] by Age")
plt.xlabel("Age")
plt.ylabel("Salaries in USD")
plt.legend()
plt.tight_layout()

ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig, ax = plt.subplots()

plt.plot(ages, py_salaries, label = "Python")
plt.plot(ages, js_salaries, label = "JavaScript")
plt.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")
plt.title("Median Salaries in [USD] by Age")
plt.xlabel("Age")
plt.ylabel("Salaries in USD")
plt.legend()
plt.tight_layout()

# 적용 객체를 변경
ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig, ax = plt.subplots()

ax.plot(ages, py_salaries, label = "Python")
ax.plot(ages, js_salaries, label = "JavaScript")
ax.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")
ax.set_title("Median Salaries in [USD] by Age")
ax.set_xlabel("Age")
ax.set_ylabel("Salaries in USD")
ax.legend()
plt.tight_layout()

ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols=1)

ax2.plot(ages, py_salaries, label = "Python")
ax2.plot(ages, js_salaries, label = "JavaScript")
ax1.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")


ax1.set_title("Median Salaries in [USD] by Age")
ax1.set_xlabel("Age")
ax1.set_ylabel("Salaries in USD")
ax1.legend()

ax2.set_title("Median Salaries in [USD] by Age")
ax2.set_xlabel("Age")
ax2.set_ylabel("Salaries in USD")
ax2.legend()

plt.tight_layout()

# 제목 및 xlabel 공유
ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols=1)

ax2.plot(ages, py_salaries, label = "Python")
ax2.plot(ages, js_salaries, label = "JavaScript")
ax1.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")

ax1.set_title("Median Salaries in [USD] by Age")
ax1.set_ylabel("Salaries in USD")
ax1.legend()

ax2.set_xlabel("Age")
ax2.set_ylabel("Salaries in USD")
ax2.legend()

plt.tight_layout()

ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig, (ax1, ax2) = plt.subplots(nrows = 2, ncols=1, sharex = True)

ax2.plot(ages, py_salaries, label = "Python")
ax2.plot(ages, js_salaries, label = "JavaScript")
ax1.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")

ax1.set_title("Median Salaries in [USD] by Age")
ax1.set_ylabel("Salaries in USD")
ax1.legend()

ax2.set_xlabel("Age")
ax2.set_ylabel("Salaries in USD")
ax2.legend()

plt.tight_layout()

ages = data["Age"]
dev_salaries = data["All_Devs"]
py_salaries = data["Python"]
js_salaries = data["JavaScript"]

fig1, ax1 = plt.subplots()
fig2, ax2 = plt.subplots()

ax2.plot(ages, py_salaries, label = "Python")
ax2.plot(ages, js_salaries, label = "JavaScript")
ax1.plot(ages, dev_salaries, label = "All_Devs", linestyle = '--', color = "black")

ax1.set_title("Median Salaries in [USD] by Age")
ax1.set_xlabel("Age")
ax1.set_ylabel("Salaries in USD")
ax1.legend()

ax2.set_title("Median Salaries in [USD] by Age")
ax2.set_xlabel("Age")
ax2.set_ylabel("Salaries in USD")
ax2.legend()

plt.tight_layout()