#
# 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')
monthly = [ None for x in range(12) ] # ´Þº°·Î ±¸ºÐµÈ 12°³ÀÇ µ¥ÀÌÅÍÇÁ·¹ÀÓ
monthly_wind = [ 0 for x in range(12) ] # °¢ ´ÞÀÇ Æò±Õ dz¼ÓÀ» ´ãÀ» ¸®½ºÆ®
# ¸¶Áö¸·¿¡ ÇØ´ç ÇàÀÇ µ¥ÀÌÅÍ°¡ ÃøÁ¤µÈ ´ÞÀ» ±â·ÏÇÑ ¿À» Ãß°¡
weather['month'] = pd.DatetimeIndex(weather['ÀϽÃ']).month
for i in range(12) :
monthly[i] = weather[ weather['month'] == i + 1 ] # ´Þº°·Î ºÐ¸®
monthly_wind[i] = monthly[i].mean()['Æò±Õdz¼Ó'] # °³º° µ¥ÀÌÅÍ ºÐ¼®
plt.plot(monthly_wind, 'red')
plt.show()