Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/coddingtonbear/obsidian-csv-table
Have a CSV file you want to render some or all of the data from? This plugin allows you to display that data in your obsidian preview.
https://github.com/coddingtonbear/obsidian-csv-table
Last synced: 4 months ago
JSON representation
Have a CSV file you want to render some or all of the data from? This plugin allows you to display that data in your obsidian preview.
- Host: GitHub
- URL: https://github.com/coddingtonbear/obsidian-csv-table
- Owner: coddingtonbear
- License: mit
- Created: 2021-05-24T03:26:41.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2021-11-29T13:41:59.000Z (about 3 years ago)
- Last Synced: 2024-10-19T12:37:59.552Z (4 months ago)
- Language: TypeScript
- Size: 1.36 MB
- Stars: 116
- Watchers: 5
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-github-repos - coddingtonbear/obsidian-csv-table - Have a CSV file you want to render some or all of the data from? This plugin allows you to display that data in your obsidian preview. (TypeScript)
README
## Obsidian CSV Table
Have data in a CSV file that you'd like to render as a table in Obsidian? Now you can.
## Quickstart
Imagine you have the following CSV file named `countries.csv`:
```
name,capitol,population
United States of America,"Washington, DC",328200000
Colombia,Bogota,50340000
Russia,Moscow,144400000
```The following code block:
~~~
```csvtable
source: countries.csv
```
~~~will render a table like:
name
capitol
population
United States of America
Washington, DC
328200000
Colombia
Bogota
50340000
Russia
Moscow
144400000
## Options
- `source`: (Required) Path (relative to your vault's root) to the csv file to render within your notes.
- `csvOptions`: Options to use for decoding the referenced CSV file; see https://csv.js.org/parse/options/ for available options.
- `columns`: A list of columns to render. Each item may be either the name of a field to display or an expression (see "Expressions" below), and can be re-named. If unspecified, all columns in the referenced CSV will be rendered. See "Selecting particular columns" below for details.
- `filter`: A list of filter expressions (see "Expressions" below) or a single filter expression to use for limiting which rows of the referenced CSV will be displayed. If unspecified, all rows of the referenced CSV will be rendered taking into account the value specified for `maxRows` below. See "Filtering displayed rows" for details.
- `sortBy`: A list of sort expressions (see "Expressions" below) or a single sort expression to use for sorting the displayed rows. If unspecified, rows will be displayed in the order they appear in the referenced CSV. See "Sorting Rows" for details.
- `columnVariables`: A mapping of variable name to column name allowing you to set a name for use in `filter` or `columns` above to reference the value of a field that is not a valid variable name.
- `maxRows`: The maximum number of rows to display. If unspecified, all unfiltered rows of the referenced CSV will be displayed.### Expressions
This library uses `filtrex` for expression evaluation; see their documentation to see more information about the expression syntax and what functions are available: https://github.com/m93a/filtrex#expressions.
See "Filtering displayed rows" for an example of a filter expression in action, but realistically they work exactly as you'd probably expect.
### Selecting particular columns
You can use the `columns` field to control which columns of your CSV file to render, e.g:
~~~
```csvtable
columns:
- name
- population
source: my_csv_file.csv
```
~~~
name
population
United States of America
328200000
Colombia
50340000
Russia
144400000
It's also possible for you to set better names for your columns or use expressions:
~~~
```csvtable
columns:
- expression: name
name: Country Name
- expression: population / 1000000
name: Population (Millions)
source: my_csv_file.csv
```
~~~
Country Name
Population (Millions)
United States of America
328.2
Colombia
50.34
Russia
144.4
### Filtering displayed rows
Maybe you would like to display only a subset of the rows of your CSV? If so, you can provide a `filter` expression to limit which rows are shown:
~~~
```csvtable
source: my_csv_file.csv
filter: population < 100000000
```
~~~
name
population
Colombia
50340000
By default, the parser will attempt to cast the values of each field to an integer, boolean, or date object where appropriate for use in your filter expressions. Also, note that your filter expression can also be provided as a list; those expressions will be and-ed together, e.g.:
~~~
```csvtable
source: my_csv_file.csv
filter:
- population < 100000000
- name == "Colombia"
```
~~~Note that the filtering language requires that you use double-quoted strings in comparisons -- if you had entered `name == 'Colombia'` above, the filter would not have returned results.
### Sorting Rows
If you would like to sort the rows of your displayed CSV, you can provide a sort expression:
~~~
```csvtable
source: my_csv_file.csv
sortBy: name
```
~~~
name
population
Colombia
50340000
Russia
144400000
United States of America
328200000
Additionally, you can specify your `sortBy` expression as a list; the document will be sorted by all specified fields in rank order:
~~~
```csvtable
source: my_csv_file.csv
sortBy:
- columnOne
- columnTwo
```
~~~It's also possible for you to sort your displayed data in reverse order if you specify your `sortBy` expression using an extended format allowing you to specify both the expression and direction of sort:
~~~
```csvtable
source: my_csv_file.csv
sortBy:
- expression: name
reversed: true
```
~~~
name
population
United States of America
328200000
Russia
144400000
Colombia
50340000