Specify location on categorical axis for BoxAnnotation

Hi,

I would like to place a BoxAnnotation on a figure with a categorical axis,

but can’t figure out how to specify the exact location on the axis.

Any help is very much appreciated.

The BoxAnnotation in the picture was placed with help of a numerical axis location.

Screenshot 2018-11-22 at 13.29.42.png

p_normal = figure(y_range=scales, x_range=[25,110], plot_width=w, plot_height=h, toolbar_location=None, title=‘Normal’)

for scoring_variable in scored_variables[1:]:

normal_and_patho_curves = make_ridge(scoring_variable, source_data, x)

p_normal.patch(‘x’, ‘y_normal’, alpha=0.3, line_color=‘black’, source=normal_and_patho_curves, color=‘lightsteelblue’)

ValueError: expected an element of either Auto or NumberSpec(String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)), Float), got ['Lacunes']

p_normal.text(27, y=dodge(‘text’, 0.8, range=p_normal.y_range), text=‘text’, source=ColumnDataSource(data=dict(text=scored_variables[1:])), **text_props)

p_normal.add_layout(BoxAnnotation(top=[‘Lacunes’))

``

Thanks!!

Hi,

Hi,

I would like to place a BoxAnnotation on a figure with a categorical axis,

but can’t figure out how to specify the exact location on the axis.

Any help is very much appreciated.

The BoxAnnotation in the picture was placed with help of a numerical axis location.

Screenshot 2018-11-22 at 13.29.42.png

p_normal = figure(y_range=scales, x_range=[25,110], plot_width=w, plot_height=h, toolbar_location=None, title=‘Normal’)

for scoring_variable in scored_variables[1:]:

normal_and_patho_curves = make_ridge(scoring_variable, source_data, x)

p_normal.patch(‘x’, ‘y_normal’, alpha=0.3, line_color=‘black’, source=normal_and_patho_curves, color=‘lightsteelblue’)

p_normal.text(27, y=dodge(‘text’, 0.8, range=p_normal.y_range), text=‘text’, source=ColumnDataSource(data=dict(text=scored_variables[1:])), **text_props)

p_normal.add_layout(BoxAnnotation(top=[‘Lacunes’))

``

BoxAnnotation expects a single coordinate (most annotation aren’t vectorized). It should work when you drop the list.

Mateusz

···

On Thu, Nov 22, 2018 at 1:33 PM landge [email protected] wrote:

ValueError: expected an element of either Auto or NumberSpec(String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)), Float), got ['Lacunes']

``

Thanks!!

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Thanks!

I still get this error:

Javascript Error: Number property 'top' given invalid value: "Lacunes"

When I pass a simple string and not a list.
Do I miss anything?



···

On Thursday, November 22, 2018 at 3:16:31 PM UTC+1, mateusz.paprocki wrote:

Hi,
On Thu, Nov 22, 2018 at 1:33 PM landge [email protected] wrote:

Hi,

I would like to place a BoxAnnotation on a figure with a categorical axis,

but can’t figure out how to specify the exact location on the axis.

Any help is very much appreciated.

The BoxAnnotation in the picture was placed with help of a numerical axis location.

Screenshot 2018-11-22 at 13.29.42.png

p_normal = figure(y_range=scales, x_range=[25,110], plot_width=w, plot_height=h, toolbar_location=None, title=‘Normal’)

for scoring_variable in scored_variables[1:]:

normal_and_patho_curves = make_ridge(scoring_variable, source_data, x)

p_normal.patch(‘x’, ‘y_normal’, alpha=0.3, line_color=‘black’, source=normal_and_patho_curves, color=‘lightsteelblue’)

p_normal.text(27, y=dodge(‘text’, 0.8, range=p_normal.y_range), text=‘text’, source=ColumnDataSource(data=dict(text=scored_variables[1:])), **text_props)

p_normal.add_layout(BoxAnnotation(top=[‘Lacunes’))

``

BoxAnnotation expects a single coordinate (most annotation aren’t vectorized). It should work when you drop the list.

Mateusz

ValueError: expected an element of either Auto or NumberSpec(String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)), Float), got ['Lacunes']

``

Thanks!!

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I believe BoxAnnotation will require work to be able to understand categorical coordinates. A GitHub issue would be reasonable, but please make sure to include a *complete* minimal example script/test case that demonstrates things failing.

Otherwise the default "synthetic" width of each category is "1" so you could use that knowledge to refine the placement using numerical coordinates.

Thanks,

Bryan

···

On Nov 22, 2018, at 09:00, [email protected] wrote:

Thanks!
I still get this error:

Javascript Error: Number property 'top' given invalid value: "Lacunes"

When I pass a simple string and not a list.
Do I miss anything?

On Thursday, November 22, 2018 at 3:16:31 PM UTC+1, mateusz.paprocki wrote:
Hi,
On Thu, Nov 22, 2018 at 1:33 PM landge <[email protected]> wrote:
Hi,

I would like to place a BoxAnnotation on a figure with a categorical axis,
but can't figure out how to specify the exact location on the axis.

Any help is very much appreciated.
The BoxAnnotation in the picture was placed with help of a numerical axis location.

p_normal = figure(y_range=scales, x_range=[25,110], plot_width=w, plot_height=h, toolbar_location=None, title='Normal')

for scoring_variable in scored_variables[1:]:
    normal_and_patho_curves = make_ridge(scoring_variable, source_data, x)
    p_normal.patch('x', 'y_normal', alpha=0.3, line_color='black', source=normal_and_patho_curves, color='lightsteelblue')

p_normal.text(27, y=dodge('text', 0.8, range=p_normal.y_range), text='text', source=ColumnDataSource(data=dict(text=scored_variables[1:])), **text_props)

p_normal.add_layout(BoxAnnotation(top=['Lacunes'))

BoxAnnotation expects a single coordinate (most annotation aren't vectorized). It should work when you drop the list.

Mateusz

ValueError: expected an element of either Auto or NumberSpec(String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)), Float), got ['Lacunes']

Thanks!!

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Thanks for your reply.

I’ve opened an issue on github:

https://github.com/bokeh/bokeh/issues/8482

···

On Tue, Nov 27, 2018 at 2:30 AM Bryan Van de ven [email protected] wrote:

I believe BoxAnnotation will require work to be able to understand categorical coordinates. A GitHub issue would be reasonable, but please make sure to include a complete minimal example script/test case that demonstrates things failing.

Otherwise the default “synthetic” width of each category is “1” so you could use that knowledge to refine the placement using numerical coordinates.

Thanks,

Bryan

On Nov 22, 2018, at 09:00, [email protected] wrote:

Thanks!

I still get this error:

Javascript Error: Number property ‘top’ given invalid value: “Lacunes”

When I pass a simple string and not a list.

Do I miss anything?

On Thursday, November 22, 2018 at 3:16:31 PM UTC+1, mateusz.paprocki wrote:

Hi,

On Thu, Nov 22, 2018 at 1:33 PM landge [email protected] wrote:

Hi,

I would like to place a BoxAnnotation on a figure with a categorical axis,

but can’t figure out how to specify the exact location on the axis.

Any help is very much appreciated.

The BoxAnnotation in the picture was placed with help of a numerical axis location.

p_normal = figure(y_range=scales, x_range=[25,110], plot_width=w, plot_height=h, toolbar_location=None, title=‘Normal’)

for scoring_variable in scored_variables[1:]:

normal_and_patho_curves = make_ridge(scoring_variable, source_data, x)
p_normal.patch('x', 'y_normal', alpha=0.3, line_color='black', source=normal_and_patho_curves, color='lightsteelblue')

p_normal.text(27, y=dodge(‘text’, 0.8, range=p_normal.y_range), text=‘text’, source=ColumnDataSource(data=dict(text=scored_variables[1:])), **text_props)

p_normal.add_layout(BoxAnnotation(top=[‘Lacunes’))

BoxAnnotation expects a single coordinate (most annotation aren’t vectorized). It should work when you drop the list.

Mateusz

ValueError: expected an element of either Auto or NumberSpec(String, Dict(Enum(‘expr’, ‘field’, ‘value’, ‘transform’), Either(String, Instance(Transform), Instance(Expression), Float)), Float), got [‘Lacunes’]

Thanks!!

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