#
# µû¶óÇÏ¸ç ¹è¿ì´Â ÆÄÀ̽ã°ú µ¥ÀÌÅͰúÇÐ(»ý´ÉÃâÆÇ»ç 2020)
# LAB 12-1 ¿ï¸ªµµ´Â ¸î ¿ù¿¡ ¹Ù¶÷ÀÌ °¡Àå °ÇÒ±î?, 311ÂÊ
#
import csv
import matplotlib.pyplot as plt
f = open('d:/data/weather.csv') # CSV ÆÄÀÏ ¿¾î f¿¡ ÀúÀå
data = csv.reader(f) # reader() ÇÔ¼ö·Î Àбâ
header = next(data) # Çì´õ¸¦ Á¦°Å
monthly_wind = [ 0 for x in range(12) ] # ¸Å´Þ dz¼ÓÀ» ´ãÀ» ¸®½ºÆ®
days_counted = [ 0 for x in range(12) ] # °¢ ´Þ¸¶´Ù ÃøÁ¤µÈ Àϼö
for row in data:
month = int(row[0][5:7]) # 0¹ø ¿¿¡¼ ´Þ Á¤º¸ ÃßÃâ
if row[3] != '' : # dz¼Ó µ¥ÀÌÅÍ Á¸ÀçÇÏ´ÂÁö È®ÀÎ
wind = float(row[3]) # dz¼ÓÀ» ¾ò¾î ¿Â´Ù.
monthly_wind[month-1] += wind # ÇØ´ç ´Þ¿¡ dz¼Ó µ¥ÀÌÅÍ Ãß°¡
days_counted[month-1] += 1 # ÇØ´ç ´ÞÀÇ Àϼö¸¦ Áõ°¡
for i in range(12) :
monthly_wind[i] /= days_counted[i] # Àϼö·Î ³ª´©¾î ¿ùÆò±Õ ±¸Çϱâ
print(monthly_wind)
plt.plot(monthly_wind, 'blue')
plt.show()
f.close() # ÆÄÀÏÀ» ´Ý´Â´Ù.