75 lines
1.4 KiB
Python
75 lines
1.4 KiB
Python
import numpy as np
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from bokeh.plotting import figure
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from bokeh.layouts import row
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from bokeh.models import ColumnDataSource
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class Plot0D:
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def __init__(self):
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self.timeseries = timeseries = TimeSeries()
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self.histo = histo = Histo()
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self.fig = row(timeseries.fig, histo.fig)
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def set(self, times, values):
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self.timeseries.set(times, values)
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self.histo.set(values)
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class TimeSeries:
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def __init__(self):
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data = {
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"x": [],
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"y": []
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}
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self.source = source = ColumnDataSource(data=data)
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self.fig = fig = figure()
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fig.step(x="x", y="y", source=source, mode="after")
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fig.circle(x="x", y="y", source=source)
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def set(self, times, values):
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data = {
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"x": times,
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"y": values
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}
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self.source.data.update(data)
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class Histo:
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def __init__(self):
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data = {
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"left": [],
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"right": [],
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"top": []
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}
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self.source = source = ColumnDataSource(data)
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self.fig = fig = figure()
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fig.quad(left="left", right="right", top="top", bottom=0, source=source)
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def set(self, values):
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data = hist(values)
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self.source.data.update(data)
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def hist(values, bins="auto"):
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counts, edges = np.histogram(values, bins="auto")
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left = edges[:-1]
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right = edges[1:]
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return dict(left=left, right=right, top=counts)
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