51 lines
1.5 KiB
Python
51 lines
1.5 KiB
Python
from plotly.subplots import make_subplots
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import plotly.graph_objects as go
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from math import ceil
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def plot_histograms(hists, histogram_per_row: int = 3):
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cols = min(histogram_per_row, len(hists))
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fig = make_subplots(
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rows=ceil(len(hists) / histogram_per_row),
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cols=cols,
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specs=[[{"type": "scatter3d"} for _ in range(cols)] for _ in range(1)],
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)
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for i, hist in enumerate(hists, start=1):
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fig.add_trace(_get_3d_scatter_plot_from_histogram(hist), row=1, col=i)
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fig.update_layout(
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showlegend=False,
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autosize=True,
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scene1=dict(xaxis_title="R", yaxis_title="G", zaxis_title="B"),
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scene2=dict(xaxis_title="R", yaxis_title="G", zaxis_title="B"),
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)
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fig.show()
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def _get_3d_scatter_plot_from_histogram(hist):
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x, y, z, marker_size = [], [], [], []
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bins = len(hist)
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for i, row in enumerate(hist):
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for j, col in enumerate(row):
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for k, value in enumerate(col):
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if value > 0:
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x.append(i)
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y.append(j)
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z.append(k)
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marker_size.append(value)
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return go.Scatter3d(
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x=x,
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y=y,
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z=z,
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mode="markers",
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marker=dict(
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size=[min(20, ms * 10000) for ms in marker_size],
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color=[
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f"rgb({xi*256/bins},{yi*256/bins},{zi*256/bins})"
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for xi, yi, zi in zip(x, y, z)
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],
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opacity=0.8,
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),
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)
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