Rename panels

This commit is contained in:
usov_i 2020-10-05 12:13:51 +02:00
parent 456a15a365
commit fdcaebb250
4 changed files with 10 additions and 10 deletions

View File

@ -3,9 +3,9 @@ import argparse
from bokeh.io import curdoc from bokeh.io import curdoc
from bokeh.models import Tabs from bokeh.models import Tabs
import panel_anatric import panel_hdf_anatric
import panel_data_viewer import panel_hdf_viewer
import panel_1D_detector import panel_ccl_integrate
parser = argparse.ArgumentParser( parser = argparse.ArgumentParser(
prog="pyzebra", formatter_class=argparse.ArgumentDefaultsHelpFormatter prog="pyzebra", formatter_class=argparse.ArgumentDefaultsHelpFormatter
@ -17,8 +17,8 @@ doc = curdoc()
doc.title = "pyzebra" doc.title = "pyzebra"
# Final layout # Final layout
tab_data_viewer = panel_data_viewer.create() tab_hdf_viewer = panel_hdf_viewer.create()
tab_anatric = panel_anatric.create() tab_hdf_anatric = panel_hdf_anatric.create()
tab_1D_detector = panel_1D_detector.create() tab_ccl_integrate = panel_ccl_integrate.create()
doc.add_root(Tabs(tabs=[tab_data_viewer, tab_anatric, tab_1D_detector])) doc.add_root(Tabs(tabs=[tab_hdf_viewer, tab_hdf_anatric, tab_ccl_integrate]))

View File

@ -204,4 +204,4 @@ def create():
row(column(smooth_toggle, process_button, save_button)), row(column(smooth_toggle, process_button, save_button)),
) )
return Panel(child=tab_layout, title="1D Detector") return Panel(child=tab_layout, title="ccl integrate")

View File

@ -406,4 +406,4 @@ def create():
curdoc().add_periodic_callback(update_config, 1000) curdoc().add_periodic_callback(update_config, 1000)
return Panel(child=tab_layout, title="Anatric") return Panel(child=tab_layout, title="hdf anatric")

View File

@ -464,7 +464,7 @@ def create():
column(roi_avg_plot, layout_image, row(colormap_layout, hkl_layout)), column(roi_avg_plot, layout_image, row(colormap_layout, hkl_layout)),
) )
return Panel(child=tab_layout, title="Data Viewer") return Panel(child=tab_layout, title="hdf viewer")
def calculate_hkl(det_data, index, setup_type="nb_bi"): def calculate_hkl(det_data, index, setup_type="nb_bi"):