Taste: Creating plots fast

Taste is a Python package wrapping Matplotlib APIs into a set of common most used plots across multiple various applications or reporting tools via clean and intuitive classes adhering to The Zen of Python.

It tries to completely isolate itself from the global Matplotlib context which can be hard to understand for a complete newbie and can cause too much unnecessary struggle.

It is easy and intuitive to use:

from taste.plots import HorizontalBarPlot

# create a plot with desired properties
plot = HorizontalBarPlot(
    caption="Plot caption",
    title="Figure title",
    bars=[0, 1, 2, 3, 4],
    values=[9, 9, 5, 8, 2],
    bar_label="Here I can label the bars",
    value_label="And here I label the values",
    bar_axis_labels=["Tom", "Dick", "Harry", "Slim", "Jim"],
    value_axis_labels=["L0", "L1", "L2", "L3", "L4"]
)

# explicitly ask to draw the plot in Jupyter notebook
plot.figure  # MPL figure object
_images/example-index.png

Note

Although it doesn’t explicitly forbid Python 3.6 due to compatibility with some older Jupyter notebooks, it aspires to run on higher versions (3.7+). Updating is highly recommended.

Quick Installation

Taste is available on PyPI, simply issue this command in your terminal and you’re good to go:

pip install taste

For more descriptive steps in various environments check Installation.