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🐼 tsb – readHtml()

readHtml(html, opts?) mirrors pandas.read_html(). It scans an HTML string for <table> elements and returns one DataFrame per table found.

Live Demo

Paste or edit HTML below, then click Parse.

<table> <thead> <tr><th>Country</th><th>Population (M)</th><th>GDP (B USD)</th></tr> </thead> <tbody> <tr><td>USA</td><td>331</td><td>23000</td></tr> <tr><td>China</td><td>1411</td><td>17700</td></tr> <tr><td>Germany</td><td>84</td><td>4500</td></tr> </tbody> </table>

header row index:   converters (numeric):   nrows:

▶ Parse

Code Example

import { readHtml } from "tsb";

const html = `<table>
  <thead><tr><th>Name</th><th>Age</th></tr></thead>
  <tbody>
    <tr><td>Alice</td><td>30</td></tr>
    <tr><td>Bob</td><td>25</td></tr>
  </tbody>
</table>`;

const [df] = readHtml(html);
console.log(df.columns);   // ["Name", "Age"]
console.log(df.shape);     // [2, 2]
console.log(df.toRecords());
// [{ Name: "Alice", Age: 30 }, { Name: "Bob", Age: 25 }]

Supported Options

• header — which row to use as column names (default 0). Use null for no header.
• indexCol — column name or index to use as the row index.
• match — array of table indices to return (e.g. [0, 2]).
• naValues — extra strings to treat as NaN (default includes "", "NA", "NaN", "None").
• converters — try to convert cells to numbers (default true).
• thousands — thousands-separator character, e.g. ",".
• decimal — decimal separator, default ".".
• skipRows — 0-based row indices to skip in the body.
• nrows — maximum rows to return.
• skipBlankLines — skip rows where all cells are whitespace (default true).