I was hoping someone could advise me how to create pandas dataframe that only contained the text from the 2nd column and not the 1st 2 rows or the left column. The solution needs to be able to cope with multiple similar tables.
I had thought pd.read_html(LOTable.prettify(),skiprows=2, flavor='bs4')
to create a list of dataframes from the html (skipping the 2 rows) would be the way but the end data structure was too confusing for this novice to understand or manipulate into a simpler structure.
Would others have a way of working with the structure that results or recommend alternative ways of refining the data so I end up with 1 column containing just the text I need?
<table cellpadding="5" cellspacing="0" class="borders" width="100%">
<tr>
<th colspan="2">
Learning Outcomes
</th>
</tr>
<tr>
<td class="info" colspan="2">
On successful completion of this module the learner will be able to:
</td>
</tr>
<tr>
<td style="width:10%;">
LO1
</td>
<td>
Demonstrate an awareness of the important role of Financial Accounting information as an input into the decision making process.
</td>
</tr>
<tr>
<td style="width:10%;">
LO2
</td>
<td>
Display an understanding of the fundamental accounting concepts, principles and conventions that underpin the preparation of Financial statements.
</td>
</tr>
<tr>
<td style="width:10%;">
LO3
</td>
<td>
Understand the various formats in which information in relation to transactions or events is recorded and classified.
</td>
</tr>
<tr>
<td style="width:10%;">
LO4
</td>
<td>
Apply a knowledge of accounting concepts,conventions and techniques such as double entry to the posting of recorded information to the T accounts in the Nominal Ledger.
</td>
</tr>
<tr>
<td style="width:10%;">
LO5
</td>
<td>
Prepare and present the financial statements of a Sole Trader in prescribed format from a Trial Balance accompanies by notes with additional information.
</td>
</tr>
</table>
first option
use iloc
This should work by letting iloc
get rid of the first column`
pd.read_html(LOTable.prettify(),skiprows=2, flavor='bs4').iloc[:, 1:]
explanation
...iloc[:, 1:]
# ^ ^
# | \
# says to says to take columns
# take all starting with one and on
# rows
You could take just the single column with
pd.read_html(LOTable.prettify(),skiprows=2, flavor='bs4').iloc[:, 1]
working code that I ran
htm = """<table cellpadding="5" cellspacing="0" class="borders" width="100%">
<tr>
<th colspan="2">
Learning Outcomes
</th>
</tr>
<tr>
<td class="info" colspan="2">
On successful completion of this module the learner will be able to:
</td>
</tr>
<tr>
<td style="width:10%;">
LO1
</td>
<td>
Demonstrate an awareness of the important role of Financial Accounting information as an input into the decision making process.
</td>
</tr>
<tr>
<td style="width:10%;">
LO2
</td>
<td>
Display an understanding of the fundamental accounting concepts, principles and conventions that underpin the preparation of Financial statements.
</td>
</tr>
<tr>
<td style="width:10%;">
LO3
</td>
<td>
Understand the various formats in which information in relation to transactions or events is recorded and classified.
</td>
</tr>
<tr>
<td style="width:10%;">
LO4
</td>
<td>
Apply a knowledge of accounting concepts,conventions and techniques such as double entry to the posting of recorded information to the T accounts in the Nominal Ledger.
</td>
</tr>
<tr>
<td style="width:10%;">
LO5
</td>
<td>
Prepare and present the financial statements of a Sole Trader in prescribed format from a Trial Balance accompanies by notes with additional information.
</td>
</tr>
</table> """
pd.read_html(htm,skiprows=2, flavor='bs4')[0].iloc[:, 1:]
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