.. _usage-plotting:
Plotting
========
This is a description of the ``PlottableProtocol``. Any plotting library that
accepts an object that follows the ``PlottableProtocol`` can plot object that
follow this protocol, and libraries that follow this protocol are compatible
with plotters. The Protocol is runtime checkable, though as usual, that will
only check for the presence of the needed methods at runtime, not for the
static types.
Using the protocol:
^^^^^^^^^^^^^^^^^^^
Plotters should only depend on the methods and attributes listed below. In short, they are:
* ``h.kind``: The ``bh.Kind`` of the histogram (COUNT or MEAN)
* ``h.values()``: The value (as given by the kind)
* ``h.variances()``: The variance in the value (None if an unweighed histogram was filled with weights)
* ``h.counts()``: How many fills the bin received or the effective number of fills if the histogram is weighted
* ``h.axes``: A Sequence of axes
Axes have:
* ``ax[i]``: A tuple of (lower, upper) bin, or the discrete bin value (integer or string)
* ``len(ax)``: The number of bins
* Iteration is supported
* ``ax.traits.circular``: True if circular
* ``ax.traits.discrete``: True if the bin represents a single value (e.g. Integer or Category axes) instead of an interval (e.g. Regular or Variable axes)
Plotters should see if ``.counts()`` is None; no boost-histogram objects currently
return None, but a future storage or different library could.
Also check ``.variances``; if not None, this storage holds variance information and
error bars should be included. Boost-histogram histograms will return something
unless they know that this is an invalid assumption (a weighted fill was made
on an unweighted histogram).
To statically restrict yourself to valid API usage, use ``PlottableHistogram``
as the parameter type to your function (Not needed at runtime).
Implementing the protocol:
^^^^^^^^^^^^^^^^^^^^^^^^^^
Add UHI to your MyPy environment; an example ``.pre-commit-config.yaml`` file:
.. code:: yaml
- repo: https://github.com/pre-commit/mirrors-mypy
rev: v0.812
hooks:
- id: mypy
files: src
additional_dependencies: [uhi, numpy~=1.20.1]
Then, check your library against the Protocol like this:
.. code:: python3
from typing import TYPE_CHECKING, cast
if TYPE_CHECKING:
_: PlottableHistogram = cast(MyHistogram, None)
Help for plotters
^^^^^^^^^^^^^^^^^
The module ``uhi.numpy_plottable`` has a utility to simplify the common use
case of accepting a PlottableProtocol or other common formats, primarily a
NumPy ``histogram``/``histogram2d``/``histogramdd`` tuple. The
``ensure_plottable_histogram`` function will take a histogram or NumPy tuple,
or an object that implements ``.to_numpy()`` or ``.numpy()`` and convert it to a
``NumPyPlottableHistogram``, which is a minimal implementation of the Protocol.
By calling this function on your input, you can then write your plotting
function knowing that you always have a ``PlottableProtocol`` object, greatly
simplifying your code.
The full protocol version 1.2 follows:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
(Also available as ``uhi.typing.plottable.PlottableProtocol``, for use in tests, etc.
.. literalinclude:: ../src/uhi/typing/plottable.py
:language: python