themes

themes: style once, plot everywhere

Universal theme styling across the different python visualization libraries. The package also contains out-of-the-box themes (e.g., a financial news theme) for instant use.

Quickstart

The full example in a live notebook is available below. Here are the key snippets,

Libraries and data

import themes
from themes import datasets

themes.register()
markets = datasets.load_markets()

Visualization with matplotlib

import matplotlib.pyplot as plt


with plt.style.context('capon'):
    markets.pivot_table(index='timestamp', columns='symbol', values='relative_price').plot()

Visualization with altair

import altair as alt


with alt.themes.enable('capon'):
    display(
        alt.Chart(markets)
        .mark_line(interpolate="monotone")
        .encode(
            x=alt.X("timestamp", title=None, axis=alt.Axis(format="%b %y")),
            y=alt.Y("relative_price", title="Relative Price", axis=alt.Axis(format="+%")),
            color="symbol",
            tooltip=["timestamp", "symbol", alt.Tooltip("relative_price", format="+.2%")],
        )
        .properties(
            title={
                "text": f"Market Indexes Change",
                "subtitle": f"Relative to {markets['timestamp'].dt.date.min()}",
            },
            width=600,
            height=200,
        )
    )

Installing

Install latest release version via pip

$ pip install themes

Install latest development version via pip

pip install git+https://github.com/gialdetti/themes.git

Install latest development version in development mode

git clone [email protected]:gialdetti/themes.git
cd themes
pip install -e .

Help and Support

Examples

All examples are located in examples folder.

Theme	MyBinder	Colab
Markets

Testing

After installation, you can launch the test suite:

$ pytest