我试图看看我是否可以从WU.com读取数据表,但是我发现没有找到表的类型错误。 (网上报废的第一个计时器也在这里)还有另一个人有一个非常相似的stackoverflow问题here与WU数据表,但解决方案对我来说有点复杂。
import pandas as pd
df_list = pd.read_html('https://www.wunderground.com/history/daily/us/wi/milwaukee/KMKE/date/2013-6-26')
print(df_list)
On the webpage of historical data for Milwaukee,这是我试图检索到熊猫的数据表(daily observations
):
任何提示都有帮助,谢谢。
页面是动态的,这意味着您需要首先呈现页面。所以你需要使用像Selenium这样的东西来渲染页面,然后你可以使用pandas .read_html()
来拉桌子:
from selenium import webdriver
import pandas as pd
driver = webdriver.Chrome('C:/chromedriver_win32/chromedriver.exe')
driver.get("https://www.wunderground.com/history/daily/us/wi/milwaukee/KMKE/date/2013-6-26")
html = driver.page_source
tables = pd.read_html(html)
data = tables[1]
driver.close()
输出:
print (data)
Time Temperature ... Precip Accum Condition
0 6:52 PM 68 F ... 0.0 in Mostly Cloudy
1 7:52 PM 69 F ... 0.0 in Mostly Cloudy
2 8:52 PM 70 F ... 0.0 in Mostly Cloudy
3 9:52 PM 67 F ... 0.0 in Cloudy
4 10:52 PM 65 F ... 0.0 in Partly Cloudy
5 11:42 PM 66 F ... 0.0 in Mostly Cloudy
6 11:52 PM 68 F ... 0.0 in Mostly Cloudy
7 12:08 AM 68 F ... 0.0 in Cloudy
8 12:52 AM 68 F ... 0.0 in Mostly Cloudy
9 1:52 AM 70 F ... 0.0 in Cloudy
10 2:13 AM 70 F ... 0.0 in Cloudy
11 2:52 AM 71 F ... 0.0 in Cloudy
12 3:52 AM 70 F ... 0.0 in Mostly Cloudy
13 4:19 AM 70 F ... 0.0 in Cloudy
14 4:29 AM 70 F ... 0.0 in Cloudy
15 4:52 AM 70 F ... 0.0 in Cloudy
16 5:25 AM 70 F ... 0.0 in Mostly Cloudy
17 5:52 AM 71 F ... 0.0 in Cloudy
18 6:52 AM 73 F ... 0.0 in Cloudy
19 7:52 AM 74 F ... 0.0 in Cloudy
20 8:52 AM 73 F ... 0.0 in Cloudy
21 9:52 AM 71 F ... 0.0 in Cloudy
22 10:52 AM 71 F ... 0.0 in Cloudy
23 11:52 AM 70 F ... 0.0 in Cloudy
24 12:52 PM 72 F ... 0.0 in Mostly Cloudy
25 1:52 PM 70 F ... 0.0 in Mostly Cloudy
26 2:52 PM 71 F ... 0.0 in Mostly Cloudy
27 3:52 PM 71 F ... 0.0 in Partly Cloudy
28 4:52 PM 68 F ... 0.0 in Mostly Cloudy
29 5:52 PM 66 F ... 0.0 in Mostly Cloudy
[30 rows x 11 columns]