数据分析气温表

import csv
import matplotlib.pyplot as plt
from datetime import datetime
import time

filename = ‘sitka_weather_07-2014.csv’
with open(filename) as f:
reader = csv.reader(f)
header_row = next(reader)
dates, highs, lows = [], [], []
for row in reader:

    try:
        current_date = datetime.strptime(row[0], "%Y/%m/%d")
        """将数据转换成int类型"""
        print(current_date)
        high = int(row[1])
        low = int(row[2])
    except ValueError:
        print(current_date, "missing data")
    else:
        dates.append(current_date)
        highs.append(high)

        lows.append(low)

next()返回文件中的下一行

enumerate()获取每个元素的索引及其值

for index, column_header in enumerate(header_row):

print(index, column_header)

print(header_row)

根据数据绘制图形

figure设置屏幕尺寸大小

fig = plt.figure(dpi=128, figsize=(10, 6))
plt.plot(dates, highs, c=‘red’)
plt.plot(dates, lows, c=‘blue’)

设置区域颜色

plt.fill_between(dates, highs, lows, facecolor=‘green’, alpha=1)

设置图形格式

plt.title(“Daily high temperatures,July 2014”, fontsize=24)
plt.xlabel(’’, fontsize=14)
plt.ylabel(“Temperature(T)”, fontsize=1)

设置刻度大小

plt.tick_params(axis=‘both’, which=‘major’, labelsize=14)

plt.show()

print(current_date)