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pandas is a python library for Panel Data manipulation and analysis, e.g. multidimensional time series and cross-sectional data sets commonly found in statistics, experimental science results, econometrics, or finance.

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How to read html tables under multiple headers and combine them in a single pandas dataframe?

table> <h1>Group 2</h1> <table> <tr> <td>Col1</td> <td>Col2</td> <td>Col3</td> </tr> <tr> <td>ValP</td> <td>ValQ</td> <td>ValR</td> </tr> </table> I want to read it into Pandas … = Table.SelectRows(#"Expanded Data", each ([Caption] <> "Document") and ([Col1] <> "Col1")) in #"Filtered Rows" Is there a way to achieve this effect in less than 10 lines of code using Python/Pandas
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