add colourbar with different labeling options
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C80A63E6A5FD7092
204
matrix.py
204
matrix.py
@ -1,4 +1,5 @@
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import numpy as np
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from abc import ABC, abstractmethod
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import svg
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rgen = np.random.default_rng()
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@ -86,7 +87,12 @@ def polylinear_gradient(colours, n):
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return gradient_dict
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class LinearGradientColourMap:
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class ColourMap(ABC):
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@abstractmethod
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def __call__(self, v: float): ...
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class LinearGradientColourMap(ColourMap):
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def __init__(
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self,
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colours: list[str] | None = ["#ff0000", "#ffffff", "#0000ff"],
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@ -104,52 +110,41 @@ class LinearGradientColourMap:
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return self.colours["hex"][v]
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class RandomColourMap:
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class RandomColourMap(ColourMap):
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def __init__(self, random_state: int | list[int] | None = [2, 3, 4, 5, 6]):
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self.rgen = np.random.default_rng([2, 3, 4, 5, 6])
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self.rgen = np.random.default_rng(random_state)
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def __call__(self, v: float):
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return RGB_to_hex([x * 255 for x in self.rgen.random(3)])
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def colourbar(
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cmap,
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min_value: float | None = 0,
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max_value: float | None = 1,
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height=100,
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width=10,
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resolution=256,
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):
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items = [
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svg.Rect(fill=cmap(v), x=0, y=i, width=width, height=1, stroke="none")
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for i, v in enumerate(np.linspace(min_value, max_value, resolution))
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]
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return svg.G(elements=items, transform=[svg.Scale(1, height / resolution)])
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if __name__ == "__main__":
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m, n = 20, 20
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class MatrixVisualisation:
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def __init__(
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self,
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matrix: np.typing.NDArray,
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cmap: ColourMap,
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text: bool = False,
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labels: int | list[str] | bool = False,
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):
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self.m, self.n = matrix.shape
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width = 20
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height = 20
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gap = 1
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text = False
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total_width = (gap + width) * n + gap
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total_height = (gap + height) * m + gap
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self.text = text
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self.total_width = (gap + width) * n + gap
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self.total_height = (gap + height) * m + gap
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self.cmap = cmap
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filename = "matrix.svg"
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matrix = rgen.random(size=(m, n))
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colours = ["#f5d72a", "#ffffff", "#2182af"]
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# colours = ["#ff0000", "#00ff00", "#0000ff"]
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cmap = LinearGradientColourMap(colours, matrix.min(), matrix.max())
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# cmap = RandomColourMap()
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self.elements = []
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self.elements.append(
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svg.Style(text=".mono { font: monospace; text-align: center;}")
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)
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self.elements.append(svg.Style(text=".small { font-size: 25%; }"))
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self.elements.append(svg.Style(text=".normal { font-size: 12px; }"))
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items = []
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items.append(svg.Style(text=".mono { font: monospace; text-align: center;}"))
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items.append(svg.Style(text=".small { font-size: 25%; }"))
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for i, y in enumerate(range(gap, total_height, gap + height)):
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for j, x in enumerate(range(gap, total_width, gap + width)):
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items.append(
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for i, y in enumerate(range(gap, self.total_height, gap + height)):
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for j, x in enumerate(range(gap, self.total_width, gap + width)):
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self.elements.append(
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svg.Rect(
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x=x,
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y=y,
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@ -160,7 +155,7 @@ if __name__ == "__main__":
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)
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)
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if text:
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items.append(
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self.elements.append(
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svg.Text(
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x=x + width / 5,
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y=y + 3 * height / 4,
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@ -171,8 +166,137 @@ if __name__ == "__main__":
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)
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)
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items.append(colourbar(cmap, matrix.min(), matrix.max(), height=100))
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def colourbar(
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self,
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min_value: float = 0,
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max_value: float = 1,
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height: int | None = None,
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width: int = 20,
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resolution: int = 256,
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border: int | bool = 1,
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labels: int | list[str] | bool = False,
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):
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if height is None:
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height = int(self.total_height * 2 / 3)
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content = svg.SVG(width=total_width, height=total_height, elements=items)
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lines = [
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svg.Rect(
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fill=self.cmap(v),
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x=0,
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y=y,
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width=width,
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height=1.1 * height / resolution,
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stroke="none",
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)
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for y, v in zip(
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np.linspace(0, height, resolution),
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np.linspace(min_value, max_value, resolution - 1),
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)
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]
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if labels is None:
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label = []
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elif isinstance(labels, int):
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label = svg.G(
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id="colourbar labels",
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elements=[
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svg.Text(
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text=f"— {v:.02f}",
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class_=["normal"],
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x=width,
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y=y,
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dy=3,
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)
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for y, v in zip(
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np.linspace(0, height, labels),
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np.linspace(min_value, max_value, labels),
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)
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],
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)
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elif isinstance(labels, list):
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if all(isinstance(n, str) for n in labels):
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label = svg.G(
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id="colourbar labels",
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elements=[
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svg.Text(
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text=f"— {v}",
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class_=["normal"],
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x=width,
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y=y,
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dy=3,
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)
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for y, v in zip(np.linspace(0, height, len(labels)), labels)
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],
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)
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if all(isinstance(n, float) or isinstance(n, int) for n in labels):
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label = svg.G(
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id="colourbar labels",
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elements=[
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svg.Text(
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text=f"— {v:.02f}",
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class_=["normal"],
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x=width,
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y=(v - min_value) / (max_value - min_value) * height,
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dy=3,
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)
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for v in labels
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],
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)
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cbar = svg.G(
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id="colourbar",
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elements=[
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lines,
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label,
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svg.Rect(
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x=0,
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y=0,
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width=width,
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height=height,
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fill="none",
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stroke_width=border,
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stroke="black",
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),
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],
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transform=[
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svg.Translate(
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x=int(self.total_width + width / 2),
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y=int((self.total_height - height) / 2),
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)
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],
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)
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self.elements.append(cbar)
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self.total_width = self.total_width + 2 * width + 40 * bool(labels)
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@property
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def svg(self):
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return str(
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svg.SVG(
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width=self.total_width, height=self.total_height, elements=self.elements
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)
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)
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def __repr__(self):
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return f"""Matrix Visualisation:
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shape: {matrix.shape}
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size: {self.total_width}x{self.total_height}
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"""
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if __name__ == "__main__":
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m, n = 30, 20
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matrix = rgen.random(size=(m, n))
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colours = ["#f5d72a", "#ffffff", "#2182af"]
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# colours = ["#ff0000", "#00ff00", "#0000ff"]
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cmap = LinearGradientColourMap(colours, matrix.min(), matrix.max())
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# cmap = RandomColourMap()
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fig = MatrixVisualisation(matrix, cmap=cmap)
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fig.colourbar(labels=["yellow", "white", "blue"])
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fig.colourbar(labels=5)
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fig.colourbar(labels=[0.2, 0.5, 0.55, 0.66, 1])
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filename = "matrix.svg"
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print(fig)
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with open(filename, "w") as f:
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f.write(str(content))
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f.write(fig.svg)
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