[rbokeh] Custom legend title for programmatically mapped aesthetics

Dear Ryan and rbokeh folk:

Is there a way to name legend items correctly when they are
programmatically set?

For instance, when we generate this figure:

figure(iris) %>%
  ly_points(Sepal.Length, Sepal.Width, color=Species)

The legend generated for the colors of the points is correctly named
"Species", but say that we want to programmatically map the color to
an attribute, and we have something like:

colvar <- 'Species'
figure(iris) %>%
  ly_points(Sepal.Length, Sepal.Width, color=colvar)

The name of the legend items for the colors is "colvar", but I'd still
like it to be "Species"

Any attempt to modify the legend parameter in the `ly_points` function
call complains that it can't be touched since it's automatically
generated, so not sure how to proceed.

Is this supported yet, or?

Thanks,
-steve

···

--
Steve Lianoglou
Bioinformatics Scientist
Cancer Immunology
Genentech

Hi,

I am trying to use box_select with the VBar glyph.
Hover is working with VBar so hit testing has been added, which is encouraging.
But I see no changes in the selected attribute of the ColumnDataSource or any visual changes.

Is selecting VBars possible?

Cheers
Geoff.

The upcoming release for Bokeh (0.12.3) has a better legends API.
It’ll probably take a little while to work its way into rBokeh.

···

On 10/4/16 10:02 PM, Steve Lianoglou
wrote:


Dear Ryan and rbokeh folk:
Is there a way to name legend items correctly when they are
programmatically set?
For instance, when we generate this figure:
figure(iris) %>%
ly_points(Sepal.Length, Sepal.Width, color=Species)
The legend generated for the colors of the points is correctly named
"Species", but say that we want to programmatically map the color to
an attribute, and we have something like:
colvar <- 'Species'
figure(iris) %>%
ly_points(Sepal.Length, Sepal.Width, color=colvar)
The name of the legend items for the colors is "colvar", but I'd still
like it to be "Species"
Any attempt to modify the legend parameter in the `ly_points` function
call complains that it can't be touched since it's automatically
generated, so not sure how to proceed.
Is this supported yet, or?
Thanks,
-steve


Sarah Bird
Developer, Bokeh

    [
      ![Continuum Analytics](http://docs.continuum.io/_static/img/ContinuumWordmark.png)
    ](http://continuum.io)

Hi Steve, hi all,

did you work out a solution? I am stuck with the same problem, only that I need to have consistent variable->color mappings.
This is easily achieved by defining the mapping and then use ‘color = colvar’, but completely messes up the legend in that
the legend now shows the color strings: “#FFAABB, #112233, …”.
Any help is appreciated!

Best regards,
Stefan

···

On Wednesday, October 5, 2016 at 7:02:23 AM UTC+2, Steve Lianoglou wrote:

Dear Ryan and rbokeh folk:

Is there a way to name legend items correctly when they are

programmatically set?

For instance, when we generate this figure:

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=Species)

The legend generated for the colors of the points is correctly named

“Species”, but say that we want to programmatically map the color to

an attribute, and we have something like:

colvar <- ‘Species’

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=colvar)

The name of the legend items for the colors is “colvar”, but I’d still

like it to be “Species”

Any attempt to modify the legend parameter in the ly_points function

call complains that it can’t be touched since it’s automatically

generated, so not sure how to proceed.

Is this supported yet, or?

Thanks,

-steve


Steve Lianoglou

Bioinformatics Scientist

Cancer Immunology

Genentech

Would the CategoricalColorMapper method in the bokeh.models module solve your problem?

You can provide it with a list of your categories and a list of colors to map to those values as such:


map = CategoricalColorMapper(factors = ['species1', 'species2', 'species3'], palette = ['color1', 'color2', 'color3'])

You can then pass the map to a glyph’s color argument in a dictionary specifying the ‘field’ to map to and the ‘transform’ to use.

Using our map variable it might look something like this if we are using a ColumnDataSource and wish to apply our map to the ‘species’ column:


p = figure()

p.circle(x='x', y='y', source=source, color = { 'field': 'species' , 'transform': map})

···

On Fri, Jan 13, 2017 at 5:59 AM, [email protected] wrote:

Hi Steve, hi all,

did you work out a solution? I am stuck with the same problem, only that I need to have consistent variable->color mappings.
This is easily achieved by defining the mapping and then use ‘color = colvar’, but completely messes up the legend in that
the legend now shows the color strings: “#FFAABB, #112233, …”.
Any help is appreciated!

Best regards,
Stefan

On Wednesday, October 5, 2016 at 7:02:23 AM UTC+2, Steve Lianoglou wrote:

Dear Ryan and rbokeh folk:

Is there a way to name legend items correctly when they are

programmatically set?

For instance, when we generate this figure:

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=Species)

The legend generated for the colors of the points is correctly named

“Species”, but say that we want to programmatically map the color to

an attribute, and we have something like:

colvar <- ‘Species’

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=colvar)

The name of the legend items for the colors is “colvar”, but I’d still

like it to be “Species”

Any attempt to modify the legend parameter in the ly_points function

call complains that it can’t be touched since it’s automatically

generated, so not sure how to proceed.

Is this supported yet, or?

Thanks,

-steve


Steve Lianoglou

Bioinformatics Scientist

Cancer Immunology

Genentech

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That is a nice suggestion, but as far as I know this feature is unfortunately not yet available in rBokeh.

···

On Friday, January 13, 2017 at 6:56:38 PM UTC+1, Tyler Nickerson wrote:

Would the CategoricalColorMapper method in the bokeh.models module solve your problem?

You can provide it with a list of your categories and a list of colors to map to those values as such:

map = CategoricalColorMapper(factors = [‘species1’, ‘species2’, ‘species3’], palette = [‘color1’, ‘color2’, ‘color3’])

You can then pass the map to a glyph’s color argument in a dictionary specifying the ‘field’ to map to and the ‘transform’ to use.

Using our map variable it might look something like this if we are using a ColumnDataSource and wish to apply our map to the ‘species’ column:

p = figure()

p.circle(x=‘x’, y=‘y’, source=source, color = { ‘field’: ‘species’ , ‘transform’: map})

On Fri, Jan 13, 2017 at 5:59 AM, [email protected] wrote:

Hi Steve, hi all,

did you work out a solution? I am stuck with the same problem, only that I need to have consistent variable->color mappings.
This is easily achieved by defining the mapping and then use ‘color = colvar’, but completely messes up the legend in that
the legend now shows the color strings: “#FFAABB, #112233, …”.
Any help is appreciated!

Best regards,
Stefan

On Wednesday, October 5, 2016 at 7:02:23 AM UTC+2, Steve Lianoglou wrote:

Dear Ryan and rbokeh folk:

Is there a way to name legend items correctly when they are

programmatically set?

For instance, when we generate this figure:

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=Species)

The legend generated for the colors of the points is correctly named

“Species”, but say that we want to programmatically map the color to

an attribute, and we have something like:

colvar <- ‘Species’

figure(iris) %>%

ly_points(Sepal.Length, Sepal.Width, color=colvar)

The name of the legend items for the colors is “colvar”, but I’d still

like it to be “Species”

Any attempt to modify the legend parameter in the ly_points function

call complains that it can’t be touched since it’s automatically

generated, so not sure how to proceed.

Is this supported yet, or?

Thanks,

-steve


Steve Lianoglou

Bioinformatics Scientist

Cancer Immunology

Genentech

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

To unsubscribe from this group and stop receiving emails from it, send an email to [email protected].

To post to this group, send email to [email protected].

To view this discussion on the web visit https://groups.google.com/a/continuum.io/d/msgid/bokeh/20a015d1-c992-47ba-a01a-3365f05c8ced%40continuum.io.

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