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Organize plots in Tabs

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This commit is contained in:
usov_i 2020-12-09 16:44:13 +01:00
parent 950f76d4be
commit 654d281c49
1 changed files with 25 additions and 27 deletions
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52
pyzebra/app/panel_param_study.py
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@ -37,6 +37,7 @@ from bokeh.models import (
Span,
Spinner,
TableColumn,
Tabs,
TextAreaInput,
TextInput,
Toggle,
@ -177,15 +178,6 @@ def create():
scan_table_source.data.update(peaks=num_of_peaks, fit=fit_ok)
def _update_plot():
# change transparency of glyphs according to the plot type selection
for plot_type in PLOT_TYPES:
visible = plot_type == plot_type_select.value
for glyph in plot.select(plot_type):
if hasattr(glyph, "visible"):
glyph.visible = visible
elif hasattr(glyph, "line_alpha"):
glyph.line_alpha = int(visible)
_update_single_scan_plot(_get_selected_scan())
_update_overview()
@ -269,7 +261,7 @@ def create():
ys.append(np.array(det_data["scan"][s]["Counts"]))
param.append(float(p))
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)))
# Main plot
plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700)
@ -330,20 +322,27 @@ def create():
plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
plot.toolbar.logo = None
# Overview multilines
plot_mline_source = ColumnDataSource(dict(xs=[], ys=[], param=[], color=[]))
plot.add_glyph(
plot_mline_source, MultiLine(xs="xs", ys="ys", line_color="color", name="overview")
# Overview multilines plot
ov_plot = Plot(x_range=DataRange1d(), y_range=DataRange1d(), plot_height=400, plot_width=700)
ov_plot.add_layout(LinearAxis(axis_label="Counts"), place="left")
ov_plot.add_layout(LinearAxis(axis_label="Omega"), place="below")
ov_plot.add_layout(Grid(dimension=0, ticker=BasicTicker()))
ov_plot.add_layout(Grid(dimension=1, ticker=BasicTicker()))
ov_plot_mline_source = ColumnDataSource(dict(xs=[], ys=[], param=[], color=[]))
ov_plot.add_glyph(
ov_plot_mline_source, MultiLine(xs="xs", ys="ys", line_color="color", name="overview")
)
# Plot type select
def plot_type_select_callback(_attr, _old, _new):
_update_plot()
ov_plot.add_tools(PanTool(), WheelZoomTool(), ResetTool())
ov_plot.toolbar.logo = None
plot_type_select = Select(
title="Plot type:", options=["single scan", "overview"], value="single scan"
# Plot tabs
plots = Tabs(
tabs=[Panel(child=plot, title="single scan"), Panel(child=ov_plot, title="overview")]
)
plot_type_select.on_change("value", plot_type_select_callback)
# Scan select
def scan_table_select_callback(_attr, old, new):
@ -382,7 +381,12 @@ def create():
fit_columns=False,
)
def scan_table_source_callback(_attr, _old, _new):
if scan_table_source.selected.indices:
_update_plot()
scan_table_source.selected.on_change("indices", scan_table_select_callback)
scan_table_source.on_change("data", scan_table_source_callback)
def _get_selected_scan():
selected_index = scan_table_source.selected.indices[0]
@ -675,13 +679,7 @@ def create():
column(Spacer(height=5), append_upload_div),
append_upload_button,
),
row(
scan_table,
column(row(plot_type_select), plot),
Spacer(width=30),
fit_output_textinput,
export_layout,
),
row(scan_table, plots, Spacer(width=30), fit_output_textinput, export_layout),
row(findpeak_controls, Spacer(width=30), fitpeak_controls),
)