"""Factory class for generating shape objects."""
from itertools import zip_longest
from numbers import Number
from typing import ClassVar
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.axes import Axes
from ..data.dataset import Dataset
from ..plotting.style import plot_with_custom_style
from .bases.shape import Shape
from .circles import Bullseye, Circle, Rings
from .lines import (
Diamond,
HighLines,
HorizontalLines,
Rectangle,
SlantDownLines,
SlantUpLines,
Star,
VerticalLines,
WideLines,
XLines,
)
from .points import (
Club,
DotsGrid,
DownParabola,
FigureEight,
Heart,
LeftParabola,
RightParabola,
Scatter,
Spade,
Spiral,
UpParabola,
)
[docs]
class ShapeFactory:
"""
Factory for generating shape objects based on data.
.. plot::
:caption:
Target shapes currently available.
from data_morph.data.loader import DataLoader
from data_morph.shapes.factory import ShapeFactory
dataset = DataLoader.load_dataset('panda')
_ = ShapeFactory(dataset).plot_available_shapes()
Parameters
----------
dataset : Dataset
The starting dataset to morph into other shapes.
"""
_SHAPE_CLASSES: tuple[type[Shape]] = (
Bullseye,
Circle,
Club,
Diamond,
DotsGrid,
DownParabola,
FigureEight,
Heart,
HighLines,
HorizontalLines,
LeftParabola,
Rectangle,
RightParabola,
Rings,
Scatter,
SlantDownLines,
SlantUpLines,
Spade,
Spiral,
Star,
UpParabola,
VerticalLines,
WideLines,
XLines,
)
"""New shape classes must be registered here."""
_SHAPE_MAPPING: ClassVar[dict[str, type[Shape]]] = {
shape_cls.get_name(): shape_cls for shape_cls in _SHAPE_CLASSES
}
"""Mapping of shape display names to classes."""
AVAILABLE_SHAPES: list[str] = sorted(_SHAPE_MAPPING.keys())
"""The list of available shapes, which can be visualized with
:meth:`.plot_available_shapes`."""
def __init__(self, dataset: Dataset) -> None:
self._dataset: Dataset = dataset
[docs]
def generate_shape(self, shape: str, **kwargs: Number) -> Shape:
"""
Generate the shape object based on the dataset.
Parameters
----------
shape : str
The desired shape. See :attr:`.AVAILABLE_SHAPES`.
**kwargs
Additional keyword arguments to pass down when creating
the shape.
Returns
-------
Shape
An shape object of the requested type.
"""
try:
return self._SHAPE_MAPPING[shape](self._dataset, **kwargs)
except KeyError as err:
raise ValueError(f'No such shape as {shape}.') from err
[docs]
@plot_with_custom_style
def plot_available_shapes(self) -> Axes:
"""
Plot the available target shapes.
Returns
-------
matplotlib.axes.Axes
The :class:`~matplotlib.axes.Axes` object containing the plot.
See Also
--------
AVAILABLE_SHAPES
The list of available shapes.
"""
num_cols = 6
num_plots = len(self.AVAILABLE_SHAPES)
num_rows = int(np.ceil(num_plots / num_cols))
fig, axs = plt.subplots(
num_rows,
num_cols,
layout='constrained',
figsize=(2 * num_cols, 2 * num_rows),
)
fig.get_layout_engine().set(w_pad=0.2, h_pad=0.2)
for shape, ax in zip_longest(self.AVAILABLE_SHAPES, axs.flatten()):
if shape:
ax.tick_params(
axis='both',
which='both',
bottom=False,
left=False,
right=False,
labelbottom=False,
labelleft=False,
)
shape_obj = self.generate_shape(shape)
ax = shape_obj.plot(ax=ax).set(
xlabel='', ylabel='', title=str(shape_obj)
)
else:
ax.remove()
return axs
