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https://github.com/TREX-CoE/Sherman-Morrison.git
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143 lines
4.3 KiB
Python
143 lines
4.3 KiB
Python
# General functions for filling plots with data in all report's views
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from bokeh.plotting import figure
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from bokeh.models import HoverTool, TapTool, CustomJS
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from math import pi
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def fill_dotplot(
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plot, source, data_field,
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tooltips=None, tooltips_formatters=None,
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js_tap_callback=None, server_tap_callback=None,
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lines=False,
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lower_bound=False
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):
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# (Optional) Tooltip and tooltip formatters
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if tooltips is not None:
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hover = HoverTool(tooltips=tooltips, mode="vline", names=["circle"])
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if tooltips_formatters is not None:
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hover.formatters = tooltips_formatters
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plot.add_tools(hover)
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# (Optional) Add TapTool (for JS tap callback)
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if js_tap_callback is not None:
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tap = TapTool(callback=CustomJS(code=js_tap_callback))
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plot.add_tools(tap)
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# (Optional) Add segment to represent a lower bound
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if lower_bound:
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lower_segment = plot.segment(
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x0="%s_x" % data_field, y0=data_field,
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x1="%s_x" % data_field, y1="%s_lower_bound" % data_field,
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source=source, line_color="black"
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)
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# Draw dots (actually Bokeh circles)
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circle = plot.circle(
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name="circle",
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x="%s_x" % data_field, y=data_field, source=source, size=12
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)
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# (Optional) Draw lines between dots
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if lines:
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line = plot.line(x="%s_x" % data_field, y=data_field, source=source)
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# (Optional) Add server tap callback
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if server_tap_callback is not None:
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circle.data_source.selected.on_change("indices", server_tap_callback)
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# Plot appearance
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plot.xgrid.grid_line_color = None
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plot.ygrid.grid_line_color = None
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plot.yaxis[0].formatter.power_limit_high = 0
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plot.yaxis[0].formatter.power_limit_low = 0
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plot.yaxis[0].formatter.precision = 3
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plot.xaxis[0].major_label_orientation = pi / 8
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def fill_boxplot(
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plot, source,
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prefix="",
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tooltips=None, tooltips_formatters=None,
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js_tap_callback=None, server_tap_callback=None
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):
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# (Optional) Tooltip and tooltip formatters
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if tooltips is not None:
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hover = HoverTool(tooltips=tooltips, mode="vline", names=["full_box"])
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if tooltips_formatters is not None:
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hover.formatters = tooltips_formatters
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plot.add_tools(hover)
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# (Optional) Add TapTool (for JS tap callback)
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if js_tap_callback is not None:
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tap = TapTool(callback=CustomJS(code=js_tap_callback))
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plot.add_tools(tap)
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# Draw boxes (the prefix argument modifies the fields of ColumnDataSource
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# that are used)
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if prefix != "":
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prefix = "%s_" % prefix
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# Stems
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top_stem = plot.segment(
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x0="%sx" % prefix, y0="%smax" % prefix,
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x1="%sx" % prefix, y1="%squantile75" % prefix,
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source=source, line_color="black"
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)
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bottom_stem = plot.segment(
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x0="%sx" % prefix, y0="%smin" % prefix,
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x1="%sx" % prefix, y1="%squantile25" % prefix,
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source=source, line_color="black"
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)
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# Boxes
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full_box = plot.vbar(
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name="full_box",
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x="%sx" % prefix, width=0.5,
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top="%squantile75" % prefix, bottom="%squantile25" % prefix,
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source=source, line_color="black"
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)
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bottom_box = plot.vbar(
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x="%sx" % prefix, width=0.5,
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top="%squantile50" % prefix, bottom="%squantile25" % prefix,
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source=source, line_color="black"
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)
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# Mu dot
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mu_dot = plot.dot(
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x="%sx" % prefix, y="%smu" % prefix, size=30, source=source,
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color="black"
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)
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# (Optional) Add server tap callback
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if server_tap_callback is not None:
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top_stem.data_source.selected.on_change("indices", server_tap_callback)
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bottom_stem.data_source.selected.on_change(
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"indices", server_tap_callback)
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full_box.data_source.selected.on_change("indices", server_tap_callback)
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bottom_box.data_source.selected.on_change(
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"indices", server_tap_callback)
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mu_dot.data_source.selected.on_change("indices", server_tap_callback)
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# Plot appearance
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plot.xgrid.grid_line_color = None
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plot.ygrid.grid_line_color = None
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plot.yaxis[0].formatter.power_limit_high = 0
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plot.yaxis[0].formatter.power_limit_low = 0
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plot.yaxis[0].formatter.precision = 3
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plot.xaxis[0].major_label_orientation = pi / 8
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