我正在尝试从以下站点的“燃料混合图”表中提取数据:https://www.iso-ne.com/isoexpress/ 我正在使用BeautifulSoup读取HTML并提取下面列出的表格,但是当我尝试读取tbody的内容时,它将输出为空。
这是我的代码:
from bs4 import BeautifulSoup
from urllib.request import urlopen
pullPage = 'https://www.iso-ne.com/isoexpress/'
#query website and assign HTML to var page
page = urlopen(pullPage)
#parse HTML into var soup
soup = BeautifulSoup(page, 'html.parser')
#take <div> out of HTML name classifier and obtain value
fuelMix = soup.find('div', id='p_p_id_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_')
fuelMixData = fuelMix.find('table', id = '_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_table')
tbody = fuelMixData.find_all('tbody')
#for row in rows:
# data = row.find_all('td')
#FMData.append(str(row.find_all('tr')[0].text))
print (tbody)
这是HTML的相关部分:
<table id="_fuelmixgraphportlet_WAR_isoneportlet_INSTANCE_ZXnKx0ygssKj_table" align="left">
<thead>
<tr>
<th style="text-align:left;">Date/Time</th>
<th style="text-align:left;">Fuel</th>
<th>MW</th> </tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">06/02/2019 00:01</td>
<td style="text-align:left;">NaturalGas</td>
<td>2581</td>
</tr>
<tr>
<td style="text-align:left;">06/02/2019 00:01</td>
<td style="text-align:left;">Nuclear</td>
<td>3339</td>
</tr>
</tbody>
</table>
目前,我的预期结果是仅将所有数据打印在tbody中。最终,我将阅读'tr'和'td'来创建数据数组(关于如何清除日期,时间,燃料类型和值以外的其他字符串的任何想法,也将不胜感激!)< / p>
运行当前代码时,它只会返回
[<tbody></tbody>]
如果我找到find_all('tr'),它只会返回thead中的值:
[<tr> <th style="text-align:left;">Date/Time</th> <th style="text-align:left;">Fuel</th> <th>MW</th> </tr>]
如果我找到find_all('td'),则返回一个空数组。
谢谢您的帮助。
答案 0 :(得分:1)
模仿页面执行的POST请求,您将以json格式获取所有信息
from bs4 import BeautifulSoup as bs
import requests
import time
params = {
'_nstmp_formDate' : int(time.time()),
'_nstmp_startDate' : '06/02/2019',
'_nstmp_endDate' : '06/02/2019',
'_nstmp_twodays' : 'false',
'_nstmp_chartTitle' : 'Fuel Mix Graph',
'_nstmp_requestType' : 'genfuelmix',
'_nstmp_fuelType' : 'all',
'_nstmp_height' : 250,
'_nstmp_showtwodays' : 'false'
}
r = requests.post('https://www.iso-ne.com/ws/wsclient', data = params).json()
例如写给df:
from bs4 import BeautifulSoup as bs
import requests
import time
import pandas as pd
params = {
'_nstmp_formDate' : int(time.time()),
'_nstmp_startDate' : '06/02/2019',
'_nstmp_endDate' : '06/02/2019',
'_nstmp_twodays' : 'false',
'_nstmp_chartTitle' : 'Fuel Mix Graph',
'_nstmp_requestType' : 'genfuelmix',
'_nstmp_fuelType' : 'all',
'_nstmp_height' : 250,
'_nstmp_showtwodays' : 'false'
}
r = requests.post('https://www.iso-ne.com/ws/wsclient', data = params).json()
result = []
headers = ['NaturalGas', 'Wind', 'Nuclear', 'Solar', 'Wood', 'Refuse', 'LandfillGas', 'BeginDateMs', 'Renewables', 'BeginDate', 'Hydro', 'Other']
for item in r[0]['data']:
row = {}
for header in headers:
row[header] = item.get(header, '')
result.append(row)
df = pd.DataFrame(result, columns = headers)
print(df.head())