ing-theme-matplotlib 0.1.2

ING styles for common plotting libraries

ING Style Plotting

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. It was adapted from the qbstyles package.

Dark style	Light style

How to install ing_theme_matplotlib

ing_theme_matplotlib is a Python package. To install it, simply run:

pip install ing_theme_matplotlib

How to use ING Style Plotting

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)

⚠️ Please make sure you run from ing_theme_matplotlib import mpl_style and mpl_style() in different cells as shown above. See this issue for more details.

How to add ING Logo to the plots

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())

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 = 'logos/RPAA_Logo_RGB_Line.png'))

For more examples, you can check out the ExamplePlots.ipynb file.

What chart types can be used with ing_theme_matplotlib?

• 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.