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Add experimental overview map plot

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usov_i 2020-12-10 11:24:27 +01:00
parent 9bbed3b55d
commit 6a341e5001
1 changed files with 36 additions and 5 deletions
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41
pyzebra/app/panel_param_study.py
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@ -44,7 +44,8 @@ from bokeh.models import (
WheelZoomTool, WheelZoomTool,
Whisker, Whisker,
) )
from bokeh.palettes import Category10 from bokeh.palettes import Category10, Turbo256
from bokeh.transform import linear_cmap
import pyzebra import pyzebra
from pyzebra.ccl_io import AREA_METHODS from pyzebra.ccl_io import AREA_METHODS
@ -253,14 +254,21 @@ def create():
xs = [] xs = []
ys = [] ys = []
param = [] param = []
x = []
y = []
par = []
for ind, p in enumerate(scan_table_source.data["param"]): for ind, p in enumerate(scan_table_source.data["param"]):
if p: if p:
s = scan_table_source.data["scan"][ind] s = scan_table_source.data["scan"][ind]
xs.append(np.array(det_data["scan"][s]["om"])) xs.append(np.array(det_data["scan"][s]["om"]))
x.extend(det_data["scan"][s]["om"])
ys.append(np.array(det_data["scan"][s]["Counts"])) ys.append(np.array(det_data["scan"][s]["Counts"]))
y.extend([float(p)] * len(det_data["scan"][s]["om"]))
param.append(float(p)) param.append(float(p))
par.extend(det_data["scan"][s]["Counts"])
ov_plot_mline_source.data.update(xs=xs, ys=ys, param=param, color=color_palette(len(xs))) ov_plot_mline_source.data.update(xs=xs, ys=ys, param=param, color=color_palette(len(xs)))
ov_param_plot_scatter_source.data.update(x=x, y=y, param=par)
# Main plot # Main plot
plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700) plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700)
@ -273,9 +281,7 @@ def create():
plot_scatter_source = ColumnDataSource(dict(x=[0], y=[0], y_upper=[0], y_lower=[0])) plot_scatter_source = ColumnDataSource(dict(x=[0], y=[0], y_upper=[0], y_lower=[0]))
plot.add_glyph(plot_scatter_source, Scatter(x="x", y="y", line_color="steelblue")) plot.add_glyph(plot_scatter_source, Scatter(x="x", y="y", line_color="steelblue"))
plot.add_layout( plot.add_layout(Whisker(source=plot_scatter_source, base="x", upper="y_upper", lower="y_lower"))
Whisker(source=plot_scatter_source, base="x", upper="y_upper", lower="y_lower")
)
plot_line_smooth_source = ColumnDataSource(dict(x=[0], y=[0])) plot_line_smooth_source = ColumnDataSource(dict(x=[0], y=[0]))
plot.add_glyph( plot.add_glyph(
@ -319,9 +325,34 @@ def create():
ov_plot.add_tools(PanTool(), WheelZoomTool(), ResetTool()) ov_plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
ov_plot.toolbar.logo = None ov_plot.toolbar.logo = None
# Overview perams plot
ov_param_plot = Plot(
x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700
)
ov_param_plot.add_layout(LinearAxis(axis_label="Param"), place="left")
ov_param_plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
ov_param_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
ov_param_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
ov_param_plot_scatter_source = ColumnDataSource(dict(x=[], y=[], param=[]))
mapper = linear_cmap(field_name="param", palette=Turbo256, low=0, high=50)
ov_param_plot.add_glyph(
ov_param_plot_scatter_source,
Scatter(x="x", y="y", line_color=mapper, fill_color=mapper, size=10),
)
ov_param_plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
ov_param_plot.toolbar.logo = None
# Plot tabs # Plot tabs
plots = Tabs( plots = Tabs(
tabs=[Panel(child=plot, title="single scan"), Panel(child=ov_plot, title="overview")] tabs=[
Panel(child=plot, title="single scan"),
Panel(child=ov_plot, title="overview"),
Panel(child=ov_param_plot, title="overview map"),
]
) )
# Scan select # Scan select