#
# µû¶óÇÏ¸ç ¹è¿ì´Â ÆÄÀ̽ã°ú µ¥ÀÌÅÍ°úÇÐ(»ý´ÉÃâÆÇ»ç 2020)
# LAB 12-2 ÆÇ´Ù½º·Î ¿ï¸ªµµÀÇ ¹Ù¶÷ ¼¼±â ºÐ¼®Çϱâ, 322ÂÊ
#
import pandas as pd
import matplotlib.pyplot as plt
weather = pd.read_csv('d:/data/weather.csv', encoding='CP949')
weather['month'] = pd.DatetimeIndex(weather['ÀϽÃ']).month
# ´ÙÀ½°ú °°Àº groupby() ±â´ÉÀ» »ç¿ëÇؼ ´õ °£´ÜÇÑ ÄÚµå ÀÛ¼º°¡´É
means = weather.groupby('month').mean()
#plt.plot(means['Æò±Õdz¼Ó'], 'red')
means['Æò±Õdz¼Ó'].plot()
plt.show()