| Name | plotter JSON |
| Version |
1.3.20
JSON |
| download |
| home_page | https://plotter-doc.xyz |
| Summary | Plotting library with descriptive approach |
| upload_time | 2022-11-16 09:56:08 |
| maintainer | |
| docs_url | None |
| author | Thomas Trouchkine |
| requires_python | |
| license | |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Plotter
## Generate this README
- in html: `make html-readme` then open `README.html` in web browser, `firefox README.html` for instance.
- in pdf: `make pdf-readme`
## Description
Plotter is a plotting library based on `matplotlib`. It intends to simplify the plotting of data in Python by creating a descriptive approach for plots. The plots can be static or dynamic.
## Source code location
[https://github.com/T-TROUCHKINE/plotter](https://github.com/T-TROUCHKINE/plotter)
## Prerequisities
### Linux packages
- tk :
- ArchLinux : `pacman -S tk`
- Debian : `apt install tk`
### Python modules
- matplotlib : `pip install matplotlib`
- tikzplotlib : `pip install tikzplotlib`
- numpy : `pip install numpy`
**GTK3**
For using GTK3 modules: see PyGObject documentation:
[https://pygobject.readthedocs.io/en/latest/index.html](https://pygobject.readthedocs.io/en/latest/index.html)
## Installation
### From PIP
`pip install plotter`
### From source
`python3 setup.py install`
## Examples
### Simplest example:
The code:
```python
import numpy as np
from plotter import Plotter
x = np.linspace(-np.pi, np.pi, 201)
to_plot = [{
"title": "Example",
"type": "plot",
"data": [x, np.sin(x)]
}]
pl = Plotter(to_plot)
pl.show()
```
Gives:
### Multi-plot:
The code:
```python
import numpy as np
from plotter import Plotter
x = np.linspace(-np.pi, np.pi, 201)
to_plot = [{
"title": "Example 1",
"type": "plot",
"data": [x, np.sin(x)]
},
{
"title": "Example 2",
"type": "matrix",
"data": np.random.random((100,100))
}]
pl = Plotter(to_plot, figsuptitle="Multi-plot")
pl.show()
```
Gives:
## Documentation
Online documentation at [https://plotter-doc.xyz](https://plotter-doc.xyz)
### Build documentation locally
#### Requirements
- jekyll ([https://jekyllrb.com/](https://jekyllrb.com/))
- bundler ([https://bundler.io/](https://bundler.io/))
#### Command
```sh
cd doc
bundle exec jekyll build
```
Then the documentation is accessible in the `doc/_site/` directory. Usable using
a web browser for instance: `firefox doc/_site/index.html`
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"description": "# Plotter\n\n## Generate this README\n- in html: `make html-readme` then open `README.html` in web browser, `firefox README.html` for instance.\n- in pdf: `make pdf-readme`\n\n## Description\nPlotter is a plotting library based on `matplotlib`. It intends to simplify the plotting of data in Python by creating a descriptive approach for plots. The plots can be static or dynamic.\n\n## Source code location\n[https://github.com/T-TROUCHKINE/plotter](https://github.com/T-TROUCHKINE/plotter)\n\n## Prerequisities\n### Linux packages\n- tk :\n - ArchLinux : `pacman -S tk`\n - Debian : `apt install tk`\n\n### Python modules\n- matplotlib : `pip install matplotlib`\n- tikzplotlib : `pip install tikzplotlib`\n- numpy : `pip install numpy`\n\n**GTK3** \nFor using GTK3 modules: see PyGObject documentation:\n[https://pygobject.readthedocs.io/en/latest/index.html](https://pygobject.readthedocs.io/en/latest/index.html)\n\n## Installation\n### From PIP\n`pip install plotter`\n\n### From source\n`python3 setup.py install`\n\n## Examples\n### Simplest example:\nThe code:\n```python\nimport numpy as np\nfrom plotter import Plotter\n\nx = np.linspace(-np.pi, np.pi, 201)\n\nto_plot = [{\n \"title\": \"Example\",\n \"type\": \"plot\",\n \"data\": [x, np.sin(x)]\n}]\n\npl = Plotter(to_plot)\npl.show()\n```\nGives:\n\n\n\n### Multi-plot:\nThe code:\n```python\nimport numpy as np\nfrom plotter import Plotter\n\nx = np.linspace(-np.pi, np.pi, 201)\n\nto_plot = [{\n \"title\": \"Example 1\",\n \"type\": \"plot\",\n \"data\": [x, np.sin(x)]\n},\n{\n \"title\": \"Example 2\",\n \"type\": \"matrix\",\n \"data\": np.random.random((100,100))\n}]\n\npl = Plotter(to_plot, figsuptitle=\"Multi-plot\")\npl.show()\n```\nGives:\n\n\n\n## Documentation\nOnline documentation at [https://plotter-doc.xyz](https://plotter-doc.xyz)\n\n### Build documentation locally\n\n#### Requirements\n- jekyll ([https://jekyllrb.com/](https://jekyllrb.com/))\n- bundler ([https://bundler.io/](https://bundler.io/))\n\n#### Command\n```sh\ncd doc\nbundle exec jekyll build\n```\n\nThen the documentation is accessible in the `doc/_site/` directory. Usable using\na web browser for instance: `firefox doc/_site/index.html`\n",
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