update ColorBar with callback on dropdown selection

On 10/13/16 8:43 PM,
wrote:

crawford.charles.g@gmail.com

      Hi, I have an issue with bokeh

and updating the colorbar object. I am trying to update my
color bar according to new data plotted via a dropdown
callback. The data is getting updated, but the color bar
remains scaled to the original data. I have searched the color
bar related issues and can’t find a solution. I get this error
when I try to just assign a new ColorBar object to the Figure:
"AttributeError(“unexpected attribute ‘color_bar’ to Figure.”

      Here are the lines I'm using

to update on the dropdown selection:

      def update_plot(attrname, old,

new):

          # set variables for new data
          data_set = data_select.value
          plot_data_name = data_sets.get(data_set)
          data = dataframe[plot_data_name]
          data_min = data.min()
          data_max = data.max()

# create new colors according to changed data set
colors = set_colors(dataframe, data_set)
dataframe['colors'] = colors
new_source = ColumnDataSource(dataframe)
# update plot
plot.title.text = data_set
source.data.update(new_source.data)
color_mapper = LinearColorMapper(palette=Viridis256, low=data_min, high=data_max)
color_bar = ColorBar(color_mapper=color_mapper, \
label_standoff=12, border_line_color=None, location=(0,0))
plot.add_layout(color_bar, 'right')

      I guess that I am just trying

to overwrite the old ColorBar, but it’s not working, and I am
kinda stuck right now. Am I missing some simple way to do
this?

Thanks,
Charles

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      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
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On Sunday, October 16, 2016 at 11:41:34 PM UTC-5, Sarah Bird wrote:

      It would be much

easier to help you solve
this with a fully working code example.

At a guess I would suggest.

`p = figure()

      color_mapper = LinearColorMapper()

      color_bar = ColorBar(.....)

      p.add_layout``(co``lor_bar, 'right')`

Then in your update code

`def update_plot(attr, old, new):

          ....

          color_mapper.low = new_min

          color_mapper.high = new_max   

          color_bar.trigger('change')`

But I have no idea if that 'll actually
work. But it’s worth a try.

Or maybe instead of the
trigger. color_``bar.color_mapper = new_color_mapper

  On 10/13/16 8:43 PM, > crawford....@gmail.com wrote:

      Hi, I have an issue with bokeh

and updating the colorbar object. I am trying to update my
color bar according to new data plotted via a dropdown
callback. The data is getting updated, but the color bar
remains scaled to the original data. I have searched the color
bar related issues and can’t find a solution. I get this error
when I try to just assign a new ColorBar object to the Figure:
"AttributeError(“unexpected attribute ‘color_bar’ to Figure.”

      Here are the lines I'm using

to update on the dropdown selection:

      def update_plot(attrname, old,

new):

          # set variables for new data
          data_set = data_select.value
          plot_data_name = data_sets.get(data_set)
          data = dataframe[plot_data_name]
          data_min = data.min()
          data_max = data.max()

# create new colors according to changed data set
colors = set_colors(dataframe, data_set)
dataframe['colors'] = colors
new_source = ColumnDataSource(dataframe)
# update plot
plot.title.text = data_set
source.data.update(new_source.data)
color_mapper = LinearColorMapper(palette=Viridis256, low=data_min, high=data_max)
color_bar = ColorBar(color_mapper=color_                 mapper, \
label_standoff=12, border_line_color=None, location=(0,0))
plot.add_layout(color_bar, 'right')

      I guess that I am just trying

to overwrite the old ColorBar, but it’s not working, and I am
kinda stuck right now. Am I missing some simple way to do
this?

Thanks,
Charles

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  For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).

–
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Developer, Bokeh

    [
      <img alt="Continuum Analytics" src="https://lh6.googleusercontent.com/proxy/VYgVjggTk1hCXSN9wFkffE3I6kxTvJ51tT4KvDXOuKbs1WyFG66k7kt2-vkDimbyxfWtP-d1paJmstMYhPPnDYSUF4rLPoYM2GM2QFM=w5000-h5000" style="width:150px;min-height:30px" height="30px" width="150px">
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On 10/17/16 10:03 AM,
wrote:

crawford.charles.g@gmail.com

    This works. I guess creating a new color mapper and

trying to overwrite the first one was the problem. Updating it
is much cleaner. Thank you for your help.

    On Sunday, October 16, 2016 at 11:41:34 PM UTC-5, Sarah Bird

wrote:

              It would be

much easier to help you
solve this with a fully working code example.

At a guess
I would suggest.

`p = figure()

              color_mapper = LinearColorMapper()

              color_bar = ColorBar(.....)

              p.add_layout``(co``lor_bar, 'right')`

                        Then in your

update code

`def update_plot(attr, old, new):

                  ....

                  color_mapper.low = new_min

                  color_mapper.high = new_max   

                  color_bar.trigger('change')`

                                      But I

have no idea if that 'll
actually work. But it’s worth
a try.

Or maybe instead
of the trigger. color_`` bar.color_mapper = new_color_mapper

On 10/13/16 8:43 PM, crawford....@gmail.com
wrote:

              Hi, I have an issue with bokeh and updating the

colorbar object. I am trying to update my color bar
according to new data plotted via a dropdown callback.
The data is getting updated, but the color bar remains
scaled to the original data. I have searched the color
bar related issues and can’t find a solution. I get
this error when I try to just assign a new ColorBar
object to the Figure: "AttributeError(“unexpected
attribute ‘color_bar’ to Figure.”

              Here are the lines I'm using to update on the

dropdown selection:

def update_plot(attrname, old, new):

                  # set variables for new data
                  data_set = data_select.value
                  plot_data_name = data_sets.get(data_set)
                  data = dataframe[plot_data_name]
                  data_min = data.min()
                  data_max = data.max()

# create new colors according to changed data set
colors = set_colors(dataframe, data_set)
dataframe['colors'] = colors
new_source = ColumnDataSource(dataframe)
# update plot
plot.title.text = data_set
source.data.update(new_source.data)
color_mapper = LinearColorMapper(palette=Viridis256, low=data_min, high=data_max)
color_bar = ColorBar(color_mapper=color_                 mapper, \
label_standoff=12, border_line_color=None, location=(0,0))
plot.add_layout(color_bar, 'right')

      I guess that I am just trying

to overwrite the old ColorBar, but it’s not working, and I am
kinda stuck right now. Am I missing some simple way to do
this?

      Thanks,

Charles

  -- You received this message because you are subscribed to the Google

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.
For more options, visit https://groups.google.com/a/continuum.io/d/optout
.
–
Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](https://lh6.googleusercontent.com/proxy/VYgVjggTk1hCXSN9wFkffE3I6kxTvJ51tT4KvDXOuKbs1WyFG66k7kt2-vkDimbyxfWtP-d1paJmstMYhPPnDYSUF4rLPoYM2GM2QFM=w5000-h5000)
    ](http://continuum.io)

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For more options, visit https://groups.google.com/a/continuum.io/d/optout.
–
Sarah Bird
Developer, Bokeh

On Monday, October 17, 2016 at 2:08:16 PM UTC-5, Sarah Bird wrote:

I’d be very interes ted to see a code snippet of what actually worked
for you in the end. Was the color_bar.trigger necessary?

  On 10/17/16 10:03 AM, > crawford....@gmail.com wrote:

    This works. I guess creating a new color mapper and

trying to overwrite the first one was the problem. Updating it
is much cleaner. Thank you for your help.

    On Sunday, October 16, 2016 at 11:41:34 PM UTC-5, Sarah Bird > > wrote:

              It would be

much easier to help you
solve this with a fully working code example.

At a guess
I would suggest.

`p = figure()

              color_mapper = LinearColorMapper()

              color_bar = ColorBar(.....)

              p.add_layout``(co``lor_bar, 'right')`

                        Then in your

update code

`def update_plot(attr, old, new):

                  ....

                  color_mapper.low = new_min

                  color_mapper.high = new_max   

                  color_bar.trigger('change')`

                                      But I

have no idea if that 'll
actually work. But it’s worth
a try.

Or maybe instead
of the trigger. color_`` bar.color_mapper = new_color_mapper

On 10/13/16 8:43 PM, crawford....@gmail.com > > > wrote:

              Hi, I have an issue with bokeh and updating the

colorbar object. I am trying to update my color bar
according to new data plotted via a dropdown callback.
The data is getting updated, but the color bar remains
scaled to the original data. I have searched the color
bar related issues and can’t find a solution. I get
this error when I try to just assign a new ColorBar
object to the Figure: "AttributeError(“unexpected
attribute ‘color_bar’ to Figure.”

              Here are the lines I'm using to update on the

dropdown selection:

def update_plot(attrname, old, new):

                  # set variables for new data
                  data_set = data_select.value
                  plot_data_name = data_sets.get(data_set)
                  data = dataframe[plot_data_name]
                  data_min = data.min()
                  data_max = data.max()

# create new colors according to changed data set
colors = set_colors(dataframe, data_set)
dataframe['colors'] = colors
new_source = ColumnDataSource(dataframe)
# update plot
plot.title.text = data_set
source.data.update(new_source.data)
color_mapper = LinearColorMapper(palette=Viridis256, low=data_min, high=data_max)
color_bar = ColorBar(color_mapper=color_                 mapper, \
label_standoff=12, border_line_color=None, location=(0,0))
plot.add_layout(color_bar, 'right')

      I guess that I am just trying

to overwrite the old ColorBar, but it’s not working, and I am
kinda stuck right now. Am I missing some simple way to do
this?

      Thanks,

Charles

  -- You received this message because you are subscribed to the Google

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.
For more options, visit https://groups.google.com/a/continuum.io/d/optout.
–
Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics|150x30](upload://9hdBzR8dQvRszNSA9TpUn91YQlq.png)
    ](http://continuum.io)

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.
–
Sarah Bird
Developer, Bokeh

On 10/17/16 1:49 PM,
wrote:

crawford.charles.g@gmail.com

    Ok, here ya go. Actually, the color_bar.trigger

wasn’t necessary. Again, thanks for your help!

    On Monday, October 17, 2016 at 2:08:16 PM UTC-5, Sarah Bird

wrote:

I’d be very interes ted to see a code snippet of
what actually worked for you in the end. Was the
color_bar.trigger necessary?

On 10/17/16 10:03 AM, crawford....@gmail.com
wrote:

            This works. I guess creating a new color

mapper and trying to overwrite the first one was the
problem. Updating it is much cleaner. Thank you for your
help.

            On Sunday, October 16, 2016 at 11:41:34 PM UTC-5, Sarah

Bird wrote:

                      It

would be much easier to help you solve this with a fully working code example.

At a guess I would
suggest.

`p = figure()

                      color_mapper = LinearColorMapper()

                      color_bar = ColorBar(.....)

                      p.add_layout``(co``                          lor_bar,

‘right’)`

                                Then in your

update code

` def update_plot(attr, old,
new):

                          ....

                          color_mapper.low = new_min

                          color_mapper.high = new_max   

                          color_bar.trigger('change')`

                                              But

I have no idea if that 'll actually
work. But it’s worth a try.

                                            Or

maybe
instead of the
trigger. color_`` bar.color_mapper = new_color_mapper

On 10/13/16 8:43 PM, crawford....@gmail.com wrote:

                      Hi, I have an issue with bokeh and updating

the colorbar object. I am trying to update my
color bar according to new data plotted via a
dropdown callback. The data is getting
updated, but the color bar remains scaled to
the original data. I have searched the color
bar related issues and can’t find a solution.
I get this error when I try to just assign a
new ColorBar object to the Figure:
"AttributeError(“unexpected attribute
‘color_bar’ to Figure.”

                      Here are the lines I'm using to update on the

dropdown selection:

def update_plot(attrname, old, new):

                          # set variables for new data
                          data_set = data_select.value
                          plot_data_name = data_sets.get(data_set)
                          data = dataframe[plot_data_name]
                          data_min = data.min()
                          data_max = data.max()

# create new colors according to changed data set
colors = set_colors(dataframe, data_set)
dataframe['colors'] = colors
new_source = ColumnDataSource(dataframe)
# update plot
plot.title.text = data_set
source.data.update(new_source.data)
color_mapper = LinearColorMapper(palette=Viridis256, low=data_min, high=data_max)
color_bar = ColorBar(color_mapper=color_                 mapper, \
label_standoff=12, border_line_color=None, location=(0,0))
plot.add_layout(color_bar, 'right')

      I guess that I am just trying

to overwrite the old ColorBar, but it’s not working, and I am
kinda stuck right now. Am I missing some simple way to do
this?

      Thanks,

Charles

  -- You received this message because you are subscribed to the Google

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For more options, visit https://groups.google.com/a/continuum.io/d/optout.
–
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Developer, Bokeh

    [
      ![Continuum Analytics](upload://9hdBzR8dQvRszNSA9TpUn91YQlq.png)
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.
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Sarah Bird
Developer, Bokeh

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Sarah Bird
Developer, Bokeh