Skip to main content

ING styles for common plotting libraries

Project description

ing-theme-matplotlib

License Python Version PyPI version downloads

ing_theme_matplotlib is a python package with a light and a dark matplotlib style that allows you to create your plots using ING colors and ING Me font. It was adapted from the qbstyles package.

Dark style Light style
Scatter plot Distribution plot

Installation

pip install ing_theme_matplotlib

Usage

You can use the dark Matplotlib style theme in the following way:

from ing_theme_matplotlib import mpl_style
mpl_style(dark=True)

And to use the light Matplotlib style theme, you can do the following:

from ing_theme_matplotlib import mpl_style
mpl_style(dark=False)

⚠️ Make sure to run from ing_theme_matplotlib import mpl_style and mpl_style() in different cells as shown above. See this issue.

Adding ING Logo

Assume that below is the function we use for plotting;

def line_plot(ax):
    rng = np.random.RandomState(4)
    x = np.linspace(0, 10, 500)
    y = np.cumsum(rng.randn(500, 4), 0)
    ax.set_title('Line Graph')
    ax.set_xlabel('— Time')
    ax.set_ylabel('— Random values')
    ax.plot(x, y, label = ['Bitcoin', 'Ethereum', 'Dollar', 'Oil'])
    ax.legend(['Bitcoin', 'Ethereum', 'Dollar', 'Oil'], loc = 1, fontsize = 'medium')
    ax.set_xlim([0, 10])
    ax.set_ylim([-20, 60])
    ax.figure.set_figwidth(16)
    ax.figure.set_figheight(8)
    ax.spines['right'].set_position(('axes', 1.05))
    ax.spines['right'].set_color('none')

You can add the default ing logo to your plot by calling add_logo function inside the plotting function.

from ing_theme_matplotlib.mpl_style import add_logo
mpl_style()
line_plot(add_logo())

png

You can also add custom logos to your plot by giving the path where the image is located.

from ing_theme_matplotlib.mpl_style import add_logo
mpl_style(dark = False)
line_plot(add_logo(bottom_left = 'ing_theme_matplotlib/logos/RPAA_Logo_RGB_Line.png'))

png

For more examples see ExamplePlots.ipynb.

Supported chart types

  • Line plots
  • Scatter plots
  • Bubble plots
  • Bar charts
  • Pie charts
  • Histograms and distribution plots
  • 3D surface plots
  • Stream plots
  • Polar plots

What licence do we use?

ING Style plotting is licensed under the Apache 2.0 License. ing-theme-matplotlib is forked from qbstyles.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ing_theme_matplotlib-0.1.4.tar.gz (151.2 kB view details)

Uploaded Source

File details

Details for the file ing_theme_matplotlib-0.1.4.tar.gz.

File metadata

  • Download URL: ing_theme_matplotlib-0.1.4.tar.gz
  • Upload date:
  • Size: 151.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for ing_theme_matplotlib-0.1.4.tar.gz
Algorithm Hash digest
SHA256 0778cf2949ade0979be491b9b8808a56757e21d9026154c26a606c97061fda4c
MD5 dca44b1428427e4816ea38010289b94d
BLAKE2b-256 396e0a400437b783866df9b3df7e0de791697f16d4d0f24ca2c60814532aa501

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page