Python Matplotlib绘制气温图表

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#coding=utf-8
import csv
from datetime import datetime

from matplotlib import pyplot as plt

# 从文件中获取日期和最高气温
filename = 'sitka_weather_2014.csv'
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)

# 打印文件头及其位置
# print header_row
# for index, column_header in enumerate(header_row):
#     print index,  column_header

dates, highs, lows = [], [], []
for row in reader:
current_date = datetime.strptime(row[0], "%Y-%m-%d")
dates.append(current_date)

high = int(row[1])
highs.append(high)

low = int(row[3])
lows.append(low)

# 根据数据绘制图形
fig = plt.figure(dpi=96, figsize=(10, 6))
plt.plot(dates, highs, c='red', alpha=0.5)
plt.plot(dates, lows, c='blue', alpha=0.5)
plt.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1)
# 设置图形的格式
plt.title("Daily high and low temperatures - 2014", fontsize=24)
plt.xlabel('', fontsize=16)
fig.autofmt_xdate()
plt.ylabel("Temerature (F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)

plt.show()