https://github.com/seba-1511/plotify

Best practices and sane defaults for Matplotlib.
https://github.com/seba-1511/plotify

data-visualization figures matplotlib plot plotting python

Last synced: 21 days ago
JSON representation

Best practices and sane defaults for Matplotlib.

• Host: GitHub
• URL: https://github.com/seba-1511/plotify
• Owner: seba-1511
• License: mit
• Created: 2017-10-10T08:06:06.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-08-05T00:07:18.000Z (over 1 year ago)
• Last Synced: 2024-11-30T11:50:12.326Z (26 days ago)
• Topics: data-visualization, figures, matplotlib, plot, plotting, python
• Language: Python
• Homepage: https://sebarnold.net/plotify
• Size: 35.3 MB
• Stars: 8
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

Awesome Lists containing this project

README

        








--------------------------------------------------------------------------------

# Example

#### Output





#### Code

~~~python

import plotify as pl

import numpy as np

# create plot object

plot = pl.ModernPlot(width=7500.0)

# title

plot.set_title('Modern Plot Title')

plot.set_subtitle(r'Subtitle: $y = f(x)$')

# settings

plot.set_palette('vibrant')

plot.set_axis(x=r'Argument $x$', y=r'Values $f(x) / 1,000$')

plot.set_notation(x='scientific', y='decimal')

plot.set_scales(x='linear', y='log2')

plot.set_grid('horizontal', granularity='coarse')

plot.set_legend(title='Curve Family')

# plot data

num_points = 10

xs = np.arange(1, 1 + num_points)

plot.plot(

    x=xs,

    y=xs / 1000,

    label=r'Linear',

    linestyle='dashed',

)

plot.plot(

    x=xs,

    y=xs**2 / 1000,

    label='Quadratic',

    linestyle='dotted',

)

plot.plot(

    x=xs,

    y=xs**3 / 1000,

    label='Cubic',

    marker=False,

)

plot.plot(

    x=xs,

    y=np.exp(xs) / 1000,

    label='Exponential',

    marker=pl.markers.square(size='large'),

    linestyle='-.',

)

plot.save('docs/assets/images/examples/modern_plot.png')

~~~

# Install

`pip install plotify`

# Resources

* GitHub: [github.com/seba-1511/plotify](https://github.com/seba-1511/plotify)

* Documentation: [sebarnold.net/plotify](https://sebarnold.net/plotify)

* Contact: [sebarnold.net](https://sebarnold.net)