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---
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icon: material/table-edit
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---
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# Data tables
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Material for MkDocs defines default styles for data tables – an excellent way
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of rendering tabular data in project documentation. Furthermore, customizations
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like [sortable tables] can be achieved with a third-party library and some
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[additional JavaScript].
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[sortable tables]: #sortable-tables
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[additional JavaScript]: ../customization.md#additional-javascript
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## Configuration
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This configuration enables Markdown table support, which should normally be
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enabled by default, but to be sure, add the following lines to `mkdocs.yml`:
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``` yaml
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markdown_extensions:
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- tables
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```
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See additional configuration options:
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- [Tables]
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[Tables]: ../setup/extensions/python-markdown.md#tables
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## Usage
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Data tables can be used at any position in your project documentation and can
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contain arbitrary Markdown, including inline code blocks, as well as [icons and
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emojis]:
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``` markdown title="Data table"
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| Method | Description |
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| ----------- | ------------------------------------ |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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```
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2022-01-10 16:31:58 +03:00
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<div class="result" markdown>
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| Method | Description |
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| ----------- | ------------------------------------ |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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</div>
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[icons and emojis]: icons-emojis.md
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### Column alignment
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If you want to align a specific column to the `left`, `center` or `right`, you
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can use the [regular Markdown syntax] placing `:` characters at the beginning
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and/or end of the divider.
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=== "Left"
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``` markdown hl_lines="2" title="Data table, columns aligned to left"
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| Method | Description |
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| :---------- | :----------------------------------- |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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```
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<div class="result" markdown>
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| Method | Description |
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| :---------- | :----------------------------------- |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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</div>
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=== "Center"
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``` markdown hl_lines="2" title="Data table, columns centered"
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| Method | Description |
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| :---------: | :----------------------------------: |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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```
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<div class="result" markdown>
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| Method | Description |
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| :---------: | :----------------------------------: |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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2022-01-10 16:31:58 +03:00
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</div>
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=== "Right"
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``` markdown hl_lines="2" title="Data table, columns aligned to right"
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| Method | Description |
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| ----------: | -----------------------------------: |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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```
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<div class="result" markdown>
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| Method | Description |
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| ----------: | -----------------------------------: |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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2022-01-10 16:31:58 +03:00
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</div>
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[regular Markdown syntax]: https://www.markdownguide.org/extended-syntax/#tables
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## Customization
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### Sortable tables
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If you want to make data tables sortable, you can add [tablesort], which is
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natively integrated with Material for MkDocs and will also work with [instant
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loading] via [additional JavaScript]:
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=== ":octicons-file-code-16: `docs/javascripts/tablesort.js`"
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``` js
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document$.subscribe(function() {
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var tables = document.querySelectorAll("article table:not([class])")
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tables.forEach(function(table) {
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new Tablesort(table)
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})
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})
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```
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=== ":octicons-file-code-16: `mkdocs.yml`"
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``` yaml
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extra_javascript:
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- https://unpkg.com/tablesort@5.3.0/dist/tablesort.min.js
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- javascripts/tablesort.js
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```
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After applying the customization, data tables can be sorted by clicking on a
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column:
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2022-01-11 12:19:33 +03:00
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``` markdown title="Data table, columns sortable"
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| Method | Description |
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| ----------- | ------------------------------------ |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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```
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<div class="result" markdown>
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| Method | Description |
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| ----------- | ------------------------------------ |
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| `GET` | :material-check: Fetch resource |
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| `PUT` | :material-check-all: Update resource |
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| `DELETE` | :material-close: Delete resource |
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</div>
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Note that [tablesort] provides alternative comparison implementations like
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numbers, filesizes, dates and month names. See the [tablesort documentation]
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[tablesort] for more information.
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2022-04-04 10:46:22 +03:00
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<script src="https://unpkg.com/tablesort@5.3.0/dist/tablesort.min.js"></script>
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<script>
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var tables = document.querySelectorAll("article table")
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new Tablesort(tables.item(tables.length - 1));
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</script>
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[tablesort]: http://tristen.ca/tablesort/demo/
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[instant loading]: ../setup/setting-up-navigation.md#instant-loading
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### Import table from file
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[:octicons-cpu-24: Plugin][table-reader-docs]
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You can also import data from a CSV or Excel file using the plugin [`mkdocs-table-reader-plugin`][table-reader-docs].
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First, you will need to install it with `pip`:
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```sh
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pip install mkdocs-table-reader-plugin
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```
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Then extend the `mkdocs.yml` file like this:
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```yaml
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plugins:
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- table-reader
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```
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Then, it is a simple process to import the data in to the Markdown files.
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=== "Import data from :fontawesome-solid-file-csv: CSV file"
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Let's use a :fontawesome-solid-file-csv: CSV in the local directory. The file may look like this:
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```csv title="./data.csv"
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col1,col2,col3
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r1c1,r1c2,r1c3
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r2c1,r2c2,r2c3
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r3c1,r3c2,r3c3
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```
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You can then add it to your :fontawesome-solid-file-arrow-down: Markdown page like this:
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```md title="./markdown.md"
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...
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{{ read_csv('./data.csv') }}
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...
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```
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<div class="result" markdown>
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...
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col1|col2|col3
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----|----|----
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r1c1|r1c2|r1c3
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r2c1|r2c2|r2c3
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r3c1|r3c2|r3c3
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...
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</div>
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=== "Import data from :fontawesome-solid-file-excel: Excel file"
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Let's use an :fontawesome-solid-file-excel: Excel file in the local directory. The file may look like this:
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![][excel-file]{width="300px"}
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[excel-file]: https://i.stack.imgur.com/f32ks.png
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And you can add it to your :fontawesome-solid-file-arrow-down: Markdown page like this:
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```md title="./markdown.md"
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...
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{{ read_excel('./Book1.xlsx', engine='openpyxl') }}
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...
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```
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<div class="result" markdown>
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It will then return a result like this:
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col1|col2|col3
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----|----|----
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r1c1|r1c2|r1c3
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r2c1|r2c2|r2c3
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r3c1|r3c2|r3c3
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</div>
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!!! warning "Warning"
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You may receive an error if you use `engine='openpyxl'`.
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If this happens, you can resolve it by installing it using `pip`:
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```sh
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pip install openpyxl
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```
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Read more here: [pandas.read_excel][pandas-read_excel-engine]
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[pandas-read_excel-engine]: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html#:~:text=enginestr%2C%20default%20None
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!!! tip "Pro Tip: Multiple Sheets"
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If your Excel file contains multiple sheets, you may want to extend the function by adding the `sheet_name` parameter.
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It would look like this:
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```md title="./markdown.md"
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...
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{{ read_excel('./Book1.xlsx', engine='openpyxl', sheet_name="Sheet1") }}
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...
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```
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By default, Pandas will grab the first sheet in the workbook.
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Read more here: [pandas.read_excel][pandas-read_excel-sheet_name]
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[pandas-read_excel-sheet_name]: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_excel.html#:~:text=sheet_namestr%2C%20int%2C%20list%2C%20or%20None%2C%20default%200
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=== "Import data from other file types"
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The plugin [`mkdocs-table-reader-plugin`][table-reader-docs] also provides readers for other formats:
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<div class="mdx-columns" markdown>
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- [`read_csv`][table-reader-read_csv]
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- [`read_fwf`][table-reader-read_fwf]
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- [`read_yaml`][table-reader-read_yaml]
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- [`read_table`][table-reader-read_table]
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- [`read_json`][table-reader-read_json]
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- [`read_excel`][table-reader-read_excel]
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- [`read_raw`][table-reader-read_raw]
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</div>
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You can read more on their Docs website: [mkdocs-table-reader-plugin][table-reader-docs]
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[table-reader-docs]: https://timvink.github.io/mkdocs-table-reader-plugin/
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[table-reader-read_csv]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_csv
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[table-reader-read_fwf]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_fwf
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[table-reader-read_yaml]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_yaml
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[table-reader-read_table]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_table
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[table-reader-read_json]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_json
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[table-reader-read_excel]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_excel
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[table-reader-read_raw]: https://timvink.github.io/mkdocs-table-reader-plugin/readers/#read_raw
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