daaf-plot

daaf-plot is a python toolbox to make interactive plot in python notebooks.

Installation

Install using pip:

$ pip install daaf-plot

Usage

The primary goal of the present toolbox is to help the creation of interactive plots. Nevertheless, it also provides a function to open a matplotlib figure from a given list of settings (number of rows and columns, padding, etc.) as well as some stylistic options which can be used outside python notebooks.

Interactive plots

To make an interactive plot, you need:

1. to enable the %matplotlib widget magic in a notebook;
2. an xarray.DataArray containing the data to plot.

Import InteractiveLinePlot or InteractivePColorMesh from daaf_plot.figure, instantiate with:

>>> fig = InteractiveLinePlot(
...     data_array,
...     x_dim='the_x_dim',
...     line_dim='the_line_dim',
...     facet_dim=...,
...     open_figure_kwargs=dict(...),
... )

for a line plot and with:

>>> fig = InteractivePColorMesh(
...     data_array,
...     x_dim='the_x_dim',
...     y_dim='the_y_dim',
...     facet_dim=...
...     open_figure_kwargs=dict(...),
... )

for a pcolormesh. This creates an abstract figure object, which you can then open using:

>>> fig.interactive_show()

Have at look at the examples in the examples/ repository!

Open a matplotlib figure

The daaf_plot.geometry.open_figure() function can be used to open a matplotlib figure, even outside python notebooks.

Stylistic options

Some matplotlib stylistic options are provided when importing daaf_plot.style:

• scale linlogp;
• color map deep (from seaborn) and its reversed counterpart;
• a unified function daaf_plot.style.set_font_size() to set font size in figures;
• ...

In addition, my custom style sheet is stored in src/daaf_plot/style/laptop.mplstyle and can be used as follows:

>>> import matplotlib.pyplot as plt
>>> plt.style.use('daaf_plot.style.laptop')

Todo-list

• write docstrings
• write documentation