## GT.opt_table_outline()


Option to wrap an outline around the entire table.


Usage

``` python
GT.opt_table_outline(
    style="solid",
    width="3px",
    color="#D3D3D3",
)
```


The [opt_table_outline()](GT.opt_table_outline.md#great_tables.GT.opt_table_outline) method puts an outline of consistent `style=`, `width=`, and `color=` around the entire table. It'll write over any existing outside lines so long as the `width=` value is larger that of the existing lines. The default value of `style=` (`"solid"`) will draw a solid outline, whereas using `"none"` will remove any present outline.


## Parameters


`style: str = ``"solid"`  
The style of the table outline. The default value is `"solid"`. The valid values are `"solid"`, `"dashed"`, `"dotted"`, and `"none"`.

`width: str = ``"3px"`  
The width of the table outline. The default value is `"3px"`. The value must be in pixels and it must be an integer value.

`color: str = ``"#D3D3D3"`  
The color of the table outline, where the default is `"#D3D3D3"`. The value must either a hexadecimal color code or a color name.


## Returns


`GT`  
The GT object is returned. This is the same object that the method is called on so that we can facilitate method chaining.


## Examples

Using select columns from the [exibble](data.exibble.md#great_tables.data.exibble) dataset, let's create a table with a number of components added. Following that, we'll put an outline around the entire table using the [opt_table_outline()](GT.opt_table_outline.md#great_tables.GT.opt_table_outline) method.


``` python
from great_tables import GT, exibble, md

(
  GT(
    exibble[["num", "char", "currency", "row", "group"]],
    rowname_col="row",
    groupname_col="group"
  )
  .tab_header(
    title=md("Data listing from **exibble**"),
    subtitle=md("`exibble` is a **Great Tables** dataset.")
  )
  .fmt_number(columns="num")
  .fmt_currency(columns="currency")
  .tab_source_note(source_note="This is only a subset of the dataset.")
  .opt_table_outline()
)
```


<table class="gt_table" data-quarto-disable-processing="false" data-quarto-bootstrap="false">
<thead>
<tr class="gt_heading">
<th colspan="4" class="gt_heading gt_title gt_font_normal">Data listing from <strong>exibble</strong></th>
</tr>
<tr class="gt_heading">
<th colspan="4" class="gt_heading gt_subtitle gt_font_normal gt_bottom_border">[exibble](data.exibble.md#great_tables.data.exibble) is a <strong>Great Tables</strong> dataset.</th>
</tr>
<tr class="gt_col_headings">
<th class="gt_col_heading gt_columns_bottom_border gt_left" scope="col"></th>
<th id="num" class="gt_col_heading gt_columns_bottom_border gt_right" scope="col">num</th>
<th id="char" class="gt_col_heading gt_columns_bottom_border gt_left" scope="col">char</th>
<th id="currency" class="gt_col_heading gt_columns_bottom_border gt_right" scope="col">currency</th>
</tr>
</thead>
<tbody class="gt_table_body">
<tr class="gt_group_heading_row">
<th colspan="4" class="gt_group_heading">grp_a</th>
</tr>

<tr>
<td class="gt_row gt_left gt_stub">row_1</td>
<td class="gt_row gt_right">0.11</td>
<td class="gt_row gt_left">apricot</td>
<td class="gt_row gt_right">$49.95</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_2</td>
<td class="gt_row gt_right">2.22</td>
<td class="gt_row gt_left">banana</td>
<td class="gt_row gt_right">$17.95</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_3</td>
<td class="gt_row gt_right">33.33</td>
<td class="gt_row gt_left">coconut</td>
<td class="gt_row gt_right">$1.39</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_4</td>
<td class="gt_row gt_right">444.40</td>
<td class="gt_row gt_left">durian</td>
<td class="gt_row gt_right">$65,100.00</td>
</tr>
<tr class="gt_group_heading_row">
<td colspan="4" class="gt_group_heading">grp_b</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_5</td>
<td class="gt_row gt_right">5,550.00</td>
<td class="gt_row gt_left"></td>
<td class="gt_row gt_right">$1,325.81</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_6</td>
<td class="gt_row gt_right"></td>
<td class="gt_row gt_left">fig</td>
<td class="gt_row gt_right">$13.26</td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_7</td>
<td class="gt_row gt_right">777,000.00</td>
<td class="gt_row gt_left">grapefruit</td>
<td class="gt_row gt_right"></td>
</tr>
<tr>
<td class="gt_row gt_left gt_stub">row_8</td>
<td class="gt_row gt_right">8,880,000.00</td>
<td class="gt_row gt_left">honeydew</td>
<td class="gt_row gt_right">$0.44</td>
</tr>
</tbody><tfoot>
<tr class="gt_sourcenotes">
<td colspan="4" class="gt_sourcenote">This is only a subset of the dataset.</td>
</tr>
</tfoot>

</table>