Export multiple tables from Pandas read_html() to csv file
Question
I figured out how to use pandas read_html() function to parse tables from an HTML file. But I'm having trouble outputting the tables to a single csv file.
This is what my tables look like in html, called 'example.html':
<html>
<body>
<table><tr></tr></table>
<table><tr></tr></table>
sjfasfasjfle
sdfølasjdf
fsdfjkj
fj
klsdjfølas
sdfpøjfjøklsdfasmf
Test1
<table border=1>
<tr>
<td>Trondheim</td><td>3</td><td>6</td><td>8.8</td><td>Test</td>
</tr>
<tr>
<td>4</td><td>7</td><td>8</td><td>88</td><td>Test</td>
</tr>
</table>
sdfjasøf<br>
aklsf<br>
klasdjfasljklj<br>
<p>
asdøfjs<br>
klasøflas<br>
øfsdjf<br><br>
kljøflsdjf<br>
kldfjølasjf<br>
<table><tr></tr></table>
Test2
<table border=1>
<tr>
<td>Norway</td><td>3</td><td>76</td><td>778.8</td><td>Test</td>
</tr>
<tr>
<td>74</td><td>77</td><td>78</td><td>88</td><td>Test</td>
</tr>
<tr>
<td>74</td><td>77</td><td>78</td><td>88</td><td>Test</td><td>74</td><td>77</td><td>78</td><td>88</td><td>Test</td>
</tr>
</table>
Test3
<table border=1><tr>Also</tr></table>
<table border=1><tr></tr></table>
<table border=1><tr></tr></table>
</body>
<html>
and this is my code to parse these tables:
import os
import pandas as pd
htmlname = r"example.html"
html = open(htmlname, 'r')
source_code = html.read()
tables = pd.read_html(source_code)
for i, table in enumerate(tables):
tables.to_csv('test.csv','a')
I'm getting the error AttributeError: 'list' object has no attribute 'to_csv'.
I'm lost as to how to solve this and I'm pretty sure it's something easy but all my research has only taken me to examples with 1 table in an html file but not parsing multiple and writing multiple to a csv file. Any help is appreciated. Thank you in advanced.
1 answers
solution1
3 ACCPTED 2018-03-13 20:55:25
You are writing tables to the csv instead of table try:
for i, table in enumerate(tables):
table.to_csv('test{}.csv'.format(i),'a')
Also, is there any reason why you are using 'a' as a separator?
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