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 package를 이용

sns.histplot(data=sample1, x='gdp', fill=False).set(title='Histogram of GDP')
plt.show()
sns.histplot(data=sample1, x='consumption', bins=8).set(title='Histogram of Consumption')

#fig = plt.figure(figsize=(10,7))
#figure, axs = plt.subplots(1,2) # 두 개의 그래프를 한 페이지에 그림
fig, axs = plt.subplots(ncols=2)
sns.histplot(x='gdp', data=sample1, fill=False,ax=axs[0]).set(title='Histogram of GDP and Consumption')
sns.histplot(x='consumption', data=sample1, bins=8, ax=axs[1])

fig.subplots_adjust(wspace=0.3) # 우측그림의 좌우 간격을 조정
plt.savefig('C:/BOOK/PyBasics/PyStat/code/hist.png')