Python学习笔记第20天

谏言：穷则独善其身，达则兼济天下

下载数据

csv文件格式

import csv
filename='sitka_weather_07-2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    print(header_row)

['AKDT', 'Max TemperatureF', 'Mean TemperatureF', 'Min TemperatureF', 'Max Dew PointF', 'MeanDew PointF', 'Min DewpointF', 'Max Humidity',
 ' Mean Humidity', ' Min Humidity', ' Max Sea Level PressureIn', ' Mean Sea Level PressureIn', ' Min Sea Level PressureIn',
 ' Max VisibilityMiles', ' Mean VisibilityMiles', ' Min VisibilityMiles', ' Max Wind SpeedMPH', ' Mean Wind SpeedMPH', ' Max Gust SpeedMPH',
 'PrecipitationIn', ' CloudCover', ' Events', ' WindDirDegrees']

import csv
filename='sitka_weather_07-2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    
    for index,column_header in enumerate(header_row):
        print(index,column_header)
# 打印每个头文件和索引

0 AKDT
1 Max TemperatureF
2 Mean TemperatureF
3 Min TemperatureF
4 Max Dew PointF
5 MeanDew PointF
6 Min DewpointF
7 Max Humidity
8  Mean Humidity
9  Min Humidity
10  Max Sea Level PressureIn
11  Mean Sea Level PressureIn
12  Min Sea Level PressureIn
13  Max VisibilityMiles
14  Mean VisibilityMiles
15  Min VisibilityMiles
16  Max Wind SpeedMPH
17  Mean Wind SpeedMPH
18  Max Gust SpeedMPH
19 PrecipitationIn
20  CloudCover
21  Events
22  WindDirDegrees
提取并读取数据

import csv
filename='sitka_weather_07-2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    highs=[]
    for row in reader:
        highs.append(row[1])
    print(highs)
# 从文件中提取每日最高温度

['64', '71', '64', '59', '69', '62', '61', '55', '57', '61', '57', '59', '57', '61', '64', 
'61', '59', '63', '60', '57', '69', '63', '62', '59', '57', '57', '61', '59', '61', '61', '66']

import csv
filename='sitka_weather_07-2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    highs=[]
    for row in reader:
        high=int(row[1])
        highs.append(high)
    print(highs)
# 从文件中提取每日最高温度,并将字符转成数字

[64, 71, 64, 59, 69, 62, 61, 55, 57, 61, 57, 59, 57, 61, 64, 61,
 59, 63, 60, 57, 69, 63, 62, 59, 57, 57, 61, 59, 61, 61, 66]

绘制气温图标

import csv
import matplotlib.pyplot as plt
filename='sitka_weather_07-2014.csv'
with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    highs=[]
    for row in reader:
        high=int(row[1])
        highs.append(high)
    print(highs)
​
fig =plt.figure(dpi=128,figsize=(10,6))
plt.plot(highs,c='red')
# 设置图形风格
plt.title("Daily high temperatures , July 2014", fontsize=24)
plt.xlabel('', fontsize=16)
fig.autofmt_xdate()
plt.ylabel("Temperature (F)", fontsize=16)
plt.tick_params(axis='both', which='major', labelsize=16)
​
plt.show()

[64, 71, 64, 59, 69, 62, 61, 55, 57, 61, 57, 59, 57, 61, 64, 61, 
59, 63, 60, 57, 69, 63, 62, 59, 57, 57, 61, 59, 61, 61, 66]