# madato
   
***madato is a library and command line tool for working tabular data, and Markdown***
--------------------------------------------------------------------------------
<!-- @import "[TOC]" {cmd="toc" depthFrom=1 depthTo=6 orderedList=false} -->
<!-- code_chunk_output -->
- [madato](#madato)
- [Usage](#usage)
- [CLI](#cli)
- [Rust](#rust)
- [Python](#python)
- [Details](#details)
- [Example CLI usage](#example-cli-usage)
- [Internals](#internals)
- [Tips](#tips)
- [Python](#python-1)
- [More Commandline](#more-commandline)
- [Sheet List](#sheet-list)
- [YAML to Markdown](#yaml-to-markdown)
- [Excel/ODS to YAML](#excelods-to-yaml)
- [Features](#features)
- [Future Goals](#future-goals)
- [Known Issues](#known-issues)
- [License](#license)
- [Contribution](#contribution)
<!-- /code_chunk_output -->
1. `madato (library)` - this library, which reads YAML, CSV, JSON, XLSX/ODS and writes Markdown
3. `madato (cli)` - providing a helpful command line tool of the above
4. The full library is available as a python module, or a rust library.
The tools is primarly centered around getting tabular data (spreadsheets, CSVs)
into Markdown.
## Usage
### CLI
Download from [https://github.com/inosion/madato/releases](https://github.com/inosion/madato/releases)
### Rust
The library, if you need spreadsheet support, then add the `spreadsheets` feature.
```
madato = { version = "0", features = ["spreadsheets"] }
```
### Python
```
pip install madato
```
## Details
When generating the output:
- Filter the Rows using basic Regex over Key/Value pairs
- Limit the columns to named headings
- Re-order the columns, or repeat them using the same column feature
- Only generate a table for a named "sheet" (applicable for the XLS/ODS formats)
Madato is:
- Command Line Tool (Windows, Mac, Linux) - good for CI/CD preprocessing
- Rust Library - Good for integration into Rust Markdown tooling
- Node JS WASM API - To be used later for Atom and VSCode Extensions
Madato expects that every column has a heading row. That is, the first row are headings/column names. If a cell in that first row is blank, it will create `NULL0..NULLn` entries as required.
### Example CLI usage
* Extract the `3rd Sheet` sheet from an MS Excel Document
```
08:39 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname "3rd Sheet"
|col1|col2| col3 |col4 | col5 |NULL5|
|----|----|------|-----|-------------------------------------------------------|-----|
| 1 |that| are |wider| value ‘aaa’ is in the next cell, but has no heading | aaa |
|than|the |header| row | (open the spreadsheet to see what I mean) | |
```
* Extract and reorder just 3 Columns
```
08:42 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname "3rd Sheet" -c col2 -c col3 -c NULL5
|col2| col3 |NULL5|
|----|------|-----|
|that| are | aaa |
|the |header| |
```
* Pull from the `second_sheet` sheet
* Only extract `Heading 4` column
* Use a Filter, where `Heading 4` values must only have a letter or number.
```
08:48 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname second_sheet -c "Heading 4" -f 'Heading 4=[a-zA-Z0-9]'
| Heading 4 |
|--------------------------|
| << empty |
|*Some Bolding in Markdown*|
| `escaped value` foo |
| 0.22 |
| #DIV/0! |
| “This cell has quotes” |
| 😕 ← Emoticon |
```
* Filtering on a Column, ensuring that a "+" is there in `Trend` Column
```
09:00 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname Sheet1 -c Rank -c Language -c Trend -f "Trend=\+"
| Rank | Language |Trend |
|------------------------------------------------------|------------|------|
| 1 | Python |+5.5 %|
| 3 | Javascript |+0.2 %|
| 7 | R |+0.0 %|
| 12 | TypeScript |+0.3 %|
| 16 | Kotlin |+0.5 %|
| 17 | Go |+0.3 %|
| 20 | Rust |+0.0 %|
```
## Internals
madato uses:
- [calamine](https://github.com/tafia/calamine) for reading XLS and ODS sheets
- [wasm bindings](https://github.com/rustwasm/wasm-bindgen) to created JS API versions of the Rust API
- [regex]() for filtering, and [serde]() for serialisation.
- PyO3 and Maturin for Python Support
## Tips
* I have found that copying the "table" I want from a website: HTML, to a spreadsheet, then through `madato` gives an excellent Markdown table of the original.
## Python
```python
pip install madato
# py
from IPython.display import display, Markdown
import madato
display(Markdown(madato.spreadsheet_to_md("../test/Financial Sample.xlsx")
print(madato.spreadsheet_to_md(str(my_sample_spreadsheet)))
```
* For more examples see [pysource/tests](pysource/tests)
## More Commandline
### Sheet List
You can list the "sheets" of an XLS*, ODS file with
```
$ madato sheetlist test/sample_multi_sheet.xlsx
Sheet1
second_sheet
3rd Sheet
```
### YAML to Markdown
Madato reads a "YAML" file, in the same way it can a Spreadsheet.
This is useful for "keeping" tabular data in your source repository, and perhaps not
the XLS.
`madato table -t yaml test/www-sample/test.yml`
```
|col3| col4 | data1 | data2 |
|----|-------|---------|--------------------|
|100 |gar gar|somevalue|someother value here|
|190x| | that | nice |
|100 | ta da | this |someother value here|
```
*Please see the [test/www-sample/test.yml](test/www-sample/test.yml) file for the expected layout of this file*
### Excel/ODS to YAML
Changing the output from default "Markdown (MD)" to "YAML", you get a Markdown file of the Spreadsheet.
```
madato table -t xlsx test/sample_multi_sheet.xslx.xlsx -s Sheet1 -o yaml
---
- Rank: "1"
Change: ""
Language: Python
Share: "23.59 %"
Trend: "+5.5 %"
- Rank: "2"
Change: ""
Language: Java
Share: "22.4 %"
Trend: "-0.5 %"
- Rank: "3"
Change: ""
Language: Javascript
Share: "8.49 %"
...
```
If you omit the sheet name, it will dump all sheets into an order map of array of maps.
## Features
* `[x]` Reads a formatted YAML string and renders a Markdown Table
* `[x]` Can take an optional list of column headings, and only display those from the table (filtering out other columns present)
* `[X]` Native Binary Command Line (windows, linux, osx)
* `[X]` Read an XLSX file and produce a Markdown Table
* `[X]` Read an ODS file and produce a Markdown Table
* `[X]` Read a CSV
* `[X]` Published as a Python Module
* `[ ]` TSV, PSV (etc) file and produce a Markdown Table
* `[ ]` Support Nested Structures in the YAML input
* `[ ]` Read a Markdown File, and select the "table" and turn it back into YAML
## Future Goals
* Finish the testing and publishing of the JS WASM Bindings. (PS - it works..
(see : [test/www-sample](test/www-sample) and the [Makefile](Makefile) )
* Embed the "importing" of YAML, CSV and XLS* files into the `mume` Markdown Preview Enhanced Plugin. [https://shd101wyy.github.io/markdown-preview-enhanced/](https://shd101wyy.github.io/markdown-preview-enhanced/) So we can have Awesome Markdown Documents.
* Provide a `PreRenderer` for `[rust-lang-nursery/mdBook](https://github.com/rust-lang-nursery/mdBook) to "import" MD tables from files.
### Known Issues
* A Spreadsheet Cell with a Date will come out as the "magic" Excel date number :-( - https://github.com/tafia/calamine/issues/116
## License
Serde is licensed under either of
* Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or
http://www.apache.org/licenses/LICENSE-2.0)
* MIT license ([LICENSE-MIT](LICENSE-MIT) or
http://opensource.org/licenses/MIT)
at your option.
### Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted
for inclusion in Serde by you, as defined in the Apache-2.0 license, shall be
dual licensed as above, without any additional terms or conditions.
Raw data
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"description": "# madato\n\n   \n\n\n***madato is a library and command line tool for working tabular data, and Markdown***\n\n--------------------------------------------------------------------------------\n\n<!-- @import \"[TOC]\" {cmd=\"toc\" depthFrom=1 depthTo=6 orderedList=false} -->\n\n<!-- code_chunk_output -->\n\n- [madato](#madato)\n - [Usage](#usage)\n - [CLI](#cli)\n - [Rust](#rust)\n - [Python](#python)\n - [Details](#details)\n - [Example CLI usage](#example-cli-usage)\n - [Internals](#internals)\n - [Tips](#tips)\n - [Python](#python-1)\n - [More Commandline](#more-commandline)\n - [Sheet List](#sheet-list)\n - [YAML to Markdown](#yaml-to-markdown)\n - [Excel/ODS to YAML](#excelods-to-yaml)\n - [Features](#features)\n - [Future Goals](#future-goals)\n - [Known Issues](#known-issues)\n - [License](#license)\n - [Contribution](#contribution)\n\n<!-- /code_chunk_output -->\n\n\n\n1. `madato (library)` - this library, which reads YAML, CSV, JSON, XLSX/ODS and writes Markdown\n3. `madato (cli)` - providing a helpful command line tool of the above\n4. The full library is available as a python module, or a rust library.\n\nThe tools is primarly centered around getting tabular data (spreadsheets, CSVs)\ninto Markdown. \n\n## Usage\n### CLI\n\nDownload from [https://github.com/inosion/madato/releases](https://github.com/inosion/madato/releases)\n\n### Rust\n\nThe library, if you need spreadsheet support, then add the `spreadsheets` feature.\n\n```\nmadato = { version = \"0\", features = [\"spreadsheets\"] }\n\n```\n\n### Python \n```\npip install madato\n```\n\n## Details\n\nWhen generating the output:\n- Filter the Rows using basic Regex over Key/Value pairs\n- Limit the columns to named headings\n- Re-order the columns, or repeat them using the same column feature\n- Only generate a table for a named \"sheet\" (applicable for the XLS/ODS formats)\n\nMadato is: \n- Command Line Tool (Windows, Mac, Linux) - good for CI/CD preprocessing\n- Rust Library - Good for integration into Rust Markdown tooling\n- Node JS WASM API - To be used later for Atom and VSCode Extensions\n\nMadato expects that every column has a heading row. That is, the first row are headings/column names. If a cell in that first row is blank, it will create `NULL0..NULLn` entries as required.\n\n### Example CLI usage\n\n* Extract the `3rd Sheet` sheet from an MS Excel Document\n```\n08:39 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname \"3rd Sheet\"\n|col1|col2| col3 |col4 | col5 |NULL5|\n|----|----|------|-----|-------------------------------------------------------|-----|\n| 1 |that| are |wider| value \u2018aaa\u2019 is in the next cell, but has no heading | aaa |\n|than|the |header| row | (open the spreadsheet to see what I mean) | |\n```\n\n* Extract and reorder just 3 Columns\n```\n08:42 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname \"3rd Sheet\" -c col2 -c col3 -c NULL5\n|col2| col3 |NULL5|\n|----|------|-----|\n|that| are | aaa |\n|the |header| |\n```\n* Pull from the `second_sheet` sheet\n* Only extract `Heading 4` column\n* Use a Filter, where `Heading 4` values must only have a letter or number.\n\n```\n08:48 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname second_sheet -c \"Heading 4\" -f 'Heading 4=[a-zA-Z0-9]'\n| Heading 4 |\n|--------------------------|\n| << empty |\n|*Some Bolding in Markdown*|\n| `escaped value` foo |\n| 0.22 |\n| #DIV/0! |\n| \u201cThis cell has quotes\u201d |\n| \ud83d\ude15 \u2190 Emoticon |\n```\n\n* Filtering on a Column, ensuring that a \"+\" is there in `Trend` Column\n\n```\n09:00 $ madato table --type xlsx test/sample_multi_sheet.xlsx --sheetname Sheet1 -c Rank -c Language -c Trend -f \"Trend=\\+\"\n| Rank | Language |Trend |\n|------------------------------------------------------|------------|------|\n| 1 | Python |+5.5 %|\n| 3 | Javascript |+0.2 %|\n| 7 | R |+0.0 %|\n| 12 | TypeScript |+0.3 %|\n| 16 | Kotlin |+0.5 %|\n| 17 | Go |+0.3 %|\n| 20 | Rust |+0.0 %|\n```\n\n## Internals\nmadato uses:\n- [calamine](https://github.com/tafia/calamine) for reading XLS and ODS sheets\n- [wasm bindings](https://github.com/rustwasm/wasm-bindgen) to created JS API versions of the Rust API\n- [regex]() for filtering, and [serde]() for serialisation.\n- PyO3 and Maturin for Python Support\n\n## Tips\n\n* I have found that copying the \"table\" I want from a website: HTML, to a spreadsheet, then through `madato` gives an excellent Markdown table of the original.\n\n\n## Python \n\n```python\npip install madato\n\n# py\nfrom IPython.display import display, Markdown\nimport madato\ndisplay(Markdown(madato.spreadsheet_to_md(\"../test/Financial Sample.xlsx\")\nprint(madato.spreadsheet_to_md(str(my_sample_spreadsheet)))\n\n```\n* For more examples see [pysource/tests](pysource/tests)\n\n## More Commandline\n\n### Sheet List\n\nYou can list the \"sheets\" of an XLS*, ODS file with \n\n```\n$ madato sheetlist test/sample_multi_sheet.xlsx \nSheet1\nsecond_sheet\n3rd Sheet\n```\n\n### YAML to Markdown \n\nMadato reads a \"YAML\" file, in the same way it can a Spreadsheet.\nThis is useful for \"keeping\" tabular data in your source repository, and perhaps not\nthe XLS.\n\n`madato table -t yaml test/www-sample/test.yml`\n\n```\n|col3| col4 | data1 | data2 |\n|----|-------|---------|--------------------|\n|100 |gar gar|somevalue|someother value here|\n|190x| | that | nice |\n|100 | ta da | this |someother value here|\n```\n\n*Please see the [test/www-sample/test.yml](test/www-sample/test.yml) file for the expected layout of this file*\n\n### Excel/ODS to YAML\n\nChanging the output from default \"Markdown (MD)\" to \"YAML\", you get a Markdown file of the Spreadsheet.\n\n```\nmadato table -t xlsx test/sample_multi_sheet.xslx.xlsx -s Sheet1 -o yaml\n---\n- Rank: \"1\"\n Change: \"\"\n Language: Python\n Share: \"23.59 %\"\n Trend: \"+5.5 %\"\n- Rank: \"2\"\n Change: \"\"\n Language: Java\n Share: \"22.4 %\"\n Trend: \"-0.5 %\"\n- Rank: \"3\"\n Change: \"\"\n Language: Javascript\n Share: \"8.49 %\"\n...\n```\n\nIf you omit the sheet name, it will dump all sheets into an order map of array of maps.\n\n\n## Features\n\n* `[x]` Reads a formatted YAML string and renders a Markdown Table\n* `[x]` Can take an optional list of column headings, and only display those from the table (filtering out other columns present)\n* `[X]` Native Binary Command Line (windows, linux, osx)\n* `[X]` Read an XLSX file and produce a Markdown Table\n* `[X]` Read an ODS file and produce a Markdown Table\n* `[X]` Read a CSV\n* `[X]` Published as a Python Module\n* `[ ]` TSV, PSV (etc) file and produce a Markdown Table\n* `[ ]` Support Nested Structures in the YAML input\n* `[ ]` Read a Markdown File, and select the \"table\" and turn it back into YAML\n\n## Future Goals\n* Finish the testing and publishing of the JS WASM Bindings. 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