Reputation: 797
Want to combine two <table>
, one with header another with table values, the first table consist with <table>
, <thead>
and no value in <tbody>
with header information only, the second table consist with <table>
, no value in <thead>
and <tbody>
with table value only
HTML code
html = """<div style="border: 1px solid #000;">
<div style="background-color:#005297;">
<table id="CCCCCT" class="BBBBBt" style="width: calc(100% - 16px)">
<thead>
<tr>
<td><span class="AAAAA">DD </span> EE</td><td>FF</td><td>GG</td><td>HH</td><td>II</td>
</tr>
</thead>
<tbody></tbody>
</table>
</div>
<table id="CCCCC" class="BBBBB">
<thead>
<tr>
<td></td><td></td><td></td><td></td><td></td>
</tr>
</thead>
<tbody>
<tr class="JJJJJ""><td><div>1111111</div></td><td>M</td><td>4444444</td><td><div>77777<i
class="PPPPPP"></i> 10101010101</div></td><td><span class="">13131313131aa</span></td></tr>
<tr class="KKKKK"><td><div>2222222</div></td><td>N</td><td>5555555</td><td><div>88888<i
class="PPPPPP"></i> 1111111111</div></td><td><span class="QQQQQ">1414141414141aa</span></td>
</tr>
<tr class="LLLLL"><td><div>3333333</div></td><td>O</td><td>6666666</td><td><div>999999<i
class="PPPPPP"></i> 1212121212121</div></td><td><span class="">15151515151aa</span></td></tr>
</tbody>
</table>
</div>"""
Python Code
from bs4 import BeautifulSoup
import pandas as pd
import re
soup = BeautifulSoup(html,'html.parser')
table = soup.find('div', attrs={'style':re.compile("^border:.*$")})
df_list = pd.read_html(str(table))
df_list
Execution Result
[Empty DataFrame
Columns: [DD EE, FF, GG, HH, II]
Index: [],
Unnamed: 0 Unnamed: 1 Unnamed: 2 Unnamed: 3 Unnamed: 4
0 1111111 M 4444444 77777 10101010101 13131313131aa
1 2222222 N 5555555 88888 1111111111 1414141414141aa
2 3333333 O 6666666 999999 1212121212121 15151515151aa]
Expected Result (5 columns)
DD EE FF GG HH II
0 1111111 M 4444444 77777 10101010101 13131313131aa
1 2222222 N 5555555 88888 1111111111 1414141414141aa
2 3333333 O 6666666 999999 1212121212121 15151515151aa]
Upvotes: 3
Views: 280
Reputation: 11515
import pandas as pd
# pd.read_html can read url directly as that's already implemented under the neath
df = pd.read_html("URL DIRECTLY")
df[1].columns = df[0].columns
print(df[1])
Output:
DD EE FF GG HH II
0 1111111 M 4444444 77777 10101010101 13131313131aa
1 2222222 N 5555555 88888 1111111111 1414141414141aa
2 3333333 O 6666666 999999 1212121212121 15151515151aa
Or applying to your example directly:
import pandas as pd
html = """<div style="border: 1px solid #000;">
<div style="background-color:#005297;">
<table id="CCCCCT" class="BBBBBt" style="width: calc(100% - 16px)">
<thead>
<tr>
<td><span class="AAAAA">DD </span> EE</td>
<td>FF</td>
<td>GG</td>
<td>HH</td>
<td>II</td>
</tr>
</thead>
<tbody></tbody>
</table>
</div>
<table id="CCCCC" class="BBBBB">
<thead>
<tr>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
</thead>
<tbody>
<tr class="JJJJJ"">
<td>
<div>1111111</div>
</td>
<td>M</td>
<td>4444444</td>
<td>
<div>77777<i class="PPPPPP"></i> 10101010101</div>
</td>
<td><span class="">13131313131aa</span></td>
</tr>
<tr class="KKKKK">
<td>
<div>2222222</div>
</td>
<td>N</td>
<td>5555555</td>
<td>
<div>88888<i class="PPPPPP"></i> 1111111111</div>
</td>
<td><span class="QQQQQ">1414141414141aa</span></td>
</tr>
<tr class="LLLLL">
<td>
<div>3333333</div>
</td>
<td>O</td>
<td>6666666</td>
<td>
<div>999999<i class="PPPPPP"></i> 1212121212121</div>
</td>
<td><span class="">15151515151aa</span></td>
</tr>
</tbody>
</table>"""
df = pd.read_html(html)
df[1].columns = df[0].columns
print(df[1])
Will output the same.
Feel free to use attrs
according to your needs.
Upvotes: 2