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339e40063a
* kill unwrapped_remote (#1490) * kill unwrapped_remote * linting * don't use callKwargs for python plugins * fix tests and improve types * Bringing PyScript.next PoC to the main project * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: Madhur Tandon <20173739+madhur-tandon@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
52 lines
1.2 KiB
Python
52 lines
1.2 KiB
Python
import js
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import matplotlib
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try:
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js.document
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except AttributeError:
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matplotlib.use("agg")
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import base64
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import io
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import matplotlib.pyplot as plt
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import matplotlib.tri as tri
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import numpy as np
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# First create the x and y coordinates of the points.
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n_angles = 36
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n_radii = 8
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min_radius = 0.25
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radii = np.linspace(min_radius, 0.95, n_radii)
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angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False)
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angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1)
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angles[:, 1::2] += np.pi / n_angles
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x = (radii * np.cos(angles)).flatten()
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y = (radii * np.sin(angles)).flatten()
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z = (np.cos(radii) * np.cos(3 * angles)).flatten()
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# Create the Triangulation; no triangles so Delaunay triangulation created.
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triang = tri.Triangulation(x, y)
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# Mask off unwanted triangles.
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triang.set_mask(
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np.hypot(x[triang.triangles].mean(axis=1), y[triang.triangles].mean(axis=1))
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< min_radius
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)
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fig1, ax1 = plt.subplots()
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ax1.set_aspect("equal")
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tpc = ax1.tripcolor(triang, z, shading="flat")
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fig1.colorbar(tpc)
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ax1.set_title("tripcolor of Delaunay triangulation, flat shading")
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buf = io.BytesIO()
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plt.savefig(buf, format="png")
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buf.seek(0)
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js.xworker.postMessage(
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"data:image/png;base64," + base64.b64encode(buf.read()).decode("UTF-8")
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)
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