I was trying to update the y_axis_type by invoking the following line:
def update_plot(attr,old,new):
yscale=yscale_select.value
if yscale==‘log’:
fig.y_mapper_type=‘log’
elif yscale==‘linear’:
fig.y_mapper_type=‘linear’
source.update…
But it seems that the y_axis is not updated in the plot. Is there any way to update the y_axis now?
I’m assuming u r using the server.
What u want to isn’t going to be as easy as u hope. When u use the axis_type argument, under the hood bokeh chooses whether to attach a linear or log axis to your plot.
To switch them out i believe you’re going to need to send a whole new plot.
So instead of having code that on callback changes a property of your figure, have it generate a whole new figure.
Then if you wrap your figure in a layout box like VBox, you can just change the ‘children’ in your server callback and the new plot will get pushed down by bokeh server.
Best,
Sarah Bird
[email protected]
On Mar 15, 2016, at 1:44 PM, mada0304 [email protected] wrote:
I was trying to update the y_axis_type by invoking the following line:
def update_plot(attr,old,new):
yscale=yscale_select.value
if yscale==‘log’:
fig.y_mapper_type=‘log’
elif yscale==‘linear’:
fig.y_mapper_type=‘linear’
source.update…
But it seems that the y_axis is not updated in the plot. Is there any way to update the y_axis now?
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Hi! I wasn’t sure-- has any functionality been added to update a figure’s y_axis_type in a callback? I’m trying to just update the figure property by resetting the y_axis_type, but I’m getting an error (AttributeError( "unexpected attribute ‘y_axis_type’ to Figure…)). Thanks in advance for your help!
Updating the type in place is going to be difficult, if possible at all. Axes are some of the most complicated objects in all of Bokeh and they have connections and are wired up to many other things, making them very difficult to swap out. If you need to switch between linear and log axes my advice is to make two plots that are identical except for the axes (and maybe any labels or titles) and then make them visible/invisible as appropriate.