import pandas as pd # pandas package를 이용
sample1 = pd.read_csv("http://kanggc.iptime.org/book/data/csv_sample1.csv")
sample1
year = sample1['year']
gdp = sample1['gdp']
consumption = sample1['consumption']

import matplotlib.pyplot as plt # matplotlib.pyplot package를 이용
import seaborn as sns # seaborn packagem를 이용

sns.lineplot(data=sample1, x='year', y='gdp').set(title='GDP of Kores(2000-2016)')
plt.show()
sns.lineplot(data=sample1, x='year', y='consumption', linestyle='dashed').set(title='Consumption of Kores(2000-2016)')

#fig = plt.figure(figsize=(10,7))
#fig, axs = plt.subplots(2, 1) # 두 개의 그래프를 한 페이지에 그림
fig, axs = plt.subplots(nrows=2)
sns.lineplot(x='year', y='gdp', data=sample1, ax=axs[0]).set(title='GDP and Consumption of Kores(2000-2016)')
sns.lineplot(x='year', y='consumption', data=sample1, linestyle='dashed',ax=axs[1])

fig.subplots_adjust(hspace=.5) # 하위그림의 상하 간격을 조정
plt.savefig('C:/BOOK/PyBasics/PyStat/code/line.png')