Bokeh: refreshing widget after initial creation
I am trying to create a tool that will allow the user to select different options for building model data. I can create widgets first, but I would like to update one of the widgets based on a possible selection from the user.
In this example, I set the default Phase to Water and Effective Radius to a list of values that match only water. If the user selects Ice from Phase, I want the widget to refresh from a different list of values. Here's the relevant code:
from bokeh.models.widgets import (Slider, Button, CheckboxGroup,
RadioButtonGroup, RadioGroup, Dropdown, Select)
# Selector for phase.
#--------------------
phs = [ "Water", "Ice", "Clear" ]
phs_select1 = Select( title="Cloud Phase", value=phs[0], options=phs,
width=150 )
phs_select2 = Select( title="Cloud Phase", value=phs[0], options=phs,
width=150 )
def update_phs( flag ):
if flag == 0:
fname[flag,3] = phs_select1.value.lower()
update_de_list( )
de_select1.update()
if flag ==1:
fname[flag,3] = phs_select2.value.lower()
update_de_list( )
phs_select1.on_change( 'value', lambda attr, new, old: update_phs(0) )
phs_select2.on_change( 'value', lambda attr, new, old: update_phs(1) )
# Selector for effective diameter.
#----------------------------
de = [np.str(x) for x in (8, 20, 32, 50)]
def update_de_list():
# Add something here to update the widget?
?????????????????????????
if phs_select1.value.lower() == "water":
de = [np.str(x) for x in (8, 20, 32, 50)]
elif phs_select1.value.lower() == "ice":
de = [np.str(x) for x in (21.86, 46.34, 115.32)]
????????????????????????????????????
?
? Once user has selected a different phase, I need to update
? "Effective Diameter field.
?
?????????????????????????
de_select1= Select( title="Effective Diameter", value=de[0], options=de,
width=150 )
de_select2 = Select( title="Effective Diameter", value=de[0], options=de,
width=150 )
def update_de( flag ):
if flag == 0:
fname[flag,5] = "de"+de_select1.value
if flag == 1:
fname[flag,5] = "de"+de_select2.value
de_select1.on_change( 'value', lambda attr, new, old: update_de(0) )
de_select2.on_change( 'value', lambda attr, new, old: update_de(1) )
# Layout the widgets for the first file
lft_pnl = [srf_select1,igbp_select1,tau_select1,ws_select1,aod_select1]
rgt_pnl = [ prf_select1, phs_select1, de_select1, cld_select1 ]
lft_col = WidgetBox( *lft_pnl, sizing_mode="fixed", width=150)
rgt_col = WidgetBox( *rgt_pnl, sizing_mode="fixed", width=150)
# Layout the widgets for the first file
lft_pnl = [srf_select2,igbp_select2,tau_select2,ws_select2,aod_select2]
rgt_pnl = [ prf_select2, phs_select2, de_select2, cld_select2 ]
lft_col2 = WidgetBox( *lft_pnl, sizing_mode="fixed", width=150)
rgt_col2 = WidgetBox( *rgt_pnl, sizing_mode="fixed", width=150)
pnl_layout = layout([[lft_col, rgt_col],[lft_col2,rgt_col2],[plt_button]])
l = layout(children=[[grid,pnl_layout]])
curdoc().add_root( l )
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Some code snippets are missing from your example, so I hope I understood your problem correctly :). As far as I can tell, you would like to change the parameters in the Effective Diameter field when the user changes the selection in the Cloud Phase field. I think that to achieve what you would like, you can simply replace the following line inside the update_de_list () callback:
de = [np.str(x) for x in (21.86, 46.34, 115.32)]
from:
de_select1.options = [np.str(x) for x in (21.86, 46.34, 115.32)]
de_select2.options = [np.str(x) for x in (21.86, 46.34, 115.32)]
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