I am attempting to see if I can read a table of data from WU.com, but I am getting a type error for no tables found. (first timer on web scraping too here) There is also another person with a very similar stackoverflow question here with WU table of data, but the solution is a little bit complicated to me.
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 , this is the table of data ( daily observations
) that I am attempting to retrieve into Pandas:
Any tips help, thank you.
the page is dynamic which means you'll need to to render the page first. So you would need to use something like Selenium to render the page, then you can pull the table using pandas .read_html()
:
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()
Output:
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]
如果你想访问一个不存在的文件,还要检查你的文件名是否正确,你会得到同样的错误“没有找到表”我用 X.htm 犯了我的错误,正在查看 X.html
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.