https://github.com/mramshaw/no_more_blue

Liven up your 'matplotlib' scatter maps
https://github.com/mramshaw/no_more_blue

matplotlib pip python seaborn seaborn-plots style

Last synced: about 14 hours ago
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Liven up your 'matplotlib' scatter maps

• Host: GitHub
• URL: https://github.com/mramshaw/no_more_blue
• Owner: mramshaw
• Created: 2018-12-24T17:59:09.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-06-07T17:26:36.000Z (5 months ago)
• Last Synced: 2024-06-07T18:49:17.203Z (5 months ago)
• Topics: matplotlib, pip, python, seaborn, seaborn-plots, style
• Language: Python
• Homepage:
• Size: 403 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 22
• Metadata Files:
  • Readme: README.md

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README

        
# No More Blue

[![Known Vulnerabilities](http://snyk.io/test/github/mramshaw/No_More_Blue/badge.svg?style=plastic&targetFile=requirements.txt)](http://snyk.io/test/github/mramshaw/No_More_Blue?style=plastic&targetFile=requirements.txt)

Liven up your `matplotlib` scatter maps

## Motivation

Muted blues have been the ___go to___ corporate colour for ages (think IBM or Microsoft)

but are less than ideal for visualizing multivariate relationships. Here we cycle through

all of the available `matplotlib` colour schemes, allowing you to choose a pleasing one.

[There may well be ___more___ colour schemes available - but not yet installed.]

Of course there is also [seaborn](http://seaborn.pydata.org/) - but that may be overkill

for many use cases. Even so, we will install it so its colour schemes are available.

## Prerequisites

Python and `pip` obviously.

Install the rest as follows:

    $ pip install --user -r requirements.txt

[Replace with `pip3` for Python 3.]

## Data

We will use the well-known [Iris](http://archive.ics.uci.edu/ml/datasets/Iris) dataset.

## Use

Run `plot_style.py` by typing python plot_style.py.

Close the displayed graphs if they do not conform to your aesthetics.

Once you find a style you like, make a note of the final displayed style:

```bash

$ python plot_style.py 

seaborn-darkgrid

seaborn-notebook

classic

seaborn-ticks

grayscale

bmh

seaborn-talk

dark_background

ggplot

fivethirtyeight

_classic_test

seaborn-colorblind

^C$ 

```

In the example shown above, this would be `seaborn-colorblind`.

[You can continue through the rest of the available styles - perhaps you

 may find a style that is even more pleasing - or else type Ctrl-C

 to terminate.]

## Examples

The following are some examples of colour styles:

#### Classic

![Classic](images/classic.png)

[Probably a good default choice for most uses, although I think the green is hard to read.]

#### Seaborn Colorblind

![Seaborn Colorblind](images/seaborn-colorblind.png)

[Probably a better default choice for most uses, although the green is hard to scan.]

#### Seaborn Deep

![Seaborn Deep](images/seaborn-deep.png)

[A nice variation on the Colorblind scheme but the green is still hard to read.]

## Reference

Matplotlib style gallery:

    http://matplotlib.org/gallery.html#style_sheets

Seaborn:

    http://seaborn.pydata.org/tutorial.html

## To Do

- [ ] Investigate creating a scheme with an easier-to-scan green

## Credits

Inspired by one of the answers to this StackOverflow question:

    https://stackoverflow.com/questions/46383645/seaborn-and-pd-scatter-matrix-plot-color-issues