Changing x_axis_type in bokeh server

First of all, congratulations on the awesome work being done with bokeh. My question is:

How can I change the x_axis_type through some Select? To be more specific I am trying to modify the IMDB demo example and would like to add some Categorical and Datetime data to both x_axis and y_axis selectors. In that specific example, that would be equivalent to add Genre and Year, which would imply changing the axis type to categories and datetime, respectively. This notebook didn’t help much.

Thanks,

Jose

Hi Jose,

That notebook is just changing the data, so wouldn't address your needs.

Given that you're modifying the IMDB example you're using the server, I
would try something like this:

in the appropriate change method set the new axis `p.xaxis =
DatetimeAxis()` or `p.xaxis = CategoricalAxis()`

I wouldn't use the x_axis_type as that would mean creating a new Figure.

I don't know if this will actually work, but that's what I'd try.

Bird

···

On 1/18/16 12:59 AM, Zé Silva wrote:

First of all, congratulations on the awesome work being done with bokeh.
My question is:

How can I change the x_axis_type through some Select? To be more
specific I am trying to modify the IMDB demo example
<http://demo.bokehplots.com/apps/movies> and would like to add some
Categorical and Datetime data to both x_axis and y_axis selectors. In
that specific example, that would be equivalent to add Genre and Year,
which would imply changing the axis type to categories and datetime,
respectively. This
<http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb> notebook
didn't help much.

Thanks,

Jose

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Hi Sarah, thanks for the reply. I tried adding the following on the update() function

if x_axis.value == 'Product':
    p.xaxis = CategoricalAxis()

and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().

Any further suggestions?
···

On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:

Hi Jose,

That notebook is just changing the data, so wouldn’t address your needs.

Given that you’re modifying the IMDB example you’re using the server, I

would try something like this:

in the appropriate change method set the new axis `p.xaxis =

DatetimeAxis()orp.xaxis = CategoricalAxis()`

I wouldn’t use the x_axis_type as that would mean creating a new Figure.

I don’t know if this will actually work, but that’s what I’d try.

Bird

On 1/18/16 12:59 AM, Zé Silva wrote:

First of all, congratulations on the awesome work being done with bokeh.

My question is:

How can I change the x_axis_type through some Select? To be more

specific I am trying to modify the IMDB demo example

<http://demo.bokehplots.com/apps/movies> and would like to add some

Categorical and Datetime data to both x_axis and y_axis selectors. In

that specific example, that would be equivalent to add Genre and Year,

which would imply changing the axis type to categories and datetime,

respectively. This

<http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb> notebook

didn’t help much.

Thanks,

Jose


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Hi Ze,

Hmmm...that's a shame....yeah, axes are usually manually added by
calling something like p.add_layout(xaxis, 'below'). The thing is I
don't know how you remove the old axis in the same manner.

Maybe Bryan will have some ideas on this one.

Best,

Bird

···

On 1/20/16 1:17 AM, Zé Silva wrote:

Hi Sarah, thanks for the reply. I tried adding the following on the
update() function

if x_axis.value == 'Product':
p.xaxis = CategoricalAxis()

and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().

Any further suggestions?

On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:

    Hi Jose,

    That notebook is just changing the data, so wouldn't address your
    needs.

    Given that you're modifying the IMDB example you're using the server, I
    would try something like this:

    in the appropriate change method set the new axis `p.xaxis =
    DatetimeAxis()` or `p.xaxis = CategoricalAxis()`

    I wouldn't use the x_axis_type as that would mean creating a new
    Figure.

    I don't know if this will actually work, but that's what I'd try.

    Bird

    On 1/18/16 12:59 AM, Zé Silva wrote:
    > First of all, congratulations on the awesome work being done with
    bokeh.
    > My question is:
    >
    > How can I change the x_axis_type through some Select? To be more
    > specific I am trying to modify the IMDB demo example
    > <http://demo.bokehplots.com/apps/movies
    <http://demo.bokehplots.com/apps/movies>> and would like to add some
    > Categorical and Datetime data to both x_axis and y_axis selectors. In
    > that specific example, that would be equivalent to add Genre and
    Year,
    > which would imply changing the axis type to categories and datetime,
    > respectively. This
    >
    <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb
    <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb>>
    notebook
    > didn't help much.
    >
    > Thanks,
    >
    > Jose
    >
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Hi Ze,

I just remembered this github issue
https://github.com/bokeh/bokeh/issues/3626 on the same topic.

It may not be possible at the moment.

Sincerely,

Sarah Bird

···

On 1/20/16 1:17 AM, Zé Silva wrote:

Hi Sarah, thanks for the reply. I tried adding the following on the
update() function

if x_axis.value == 'Product':
p.xaxis = CategoricalAxis()

and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().

Any further suggestions?

On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:

    Hi Jose,

    That notebook is just changing the data, so wouldn't address your
    needs.

    Given that you're modifying the IMDB example you're using the server, I
    would try something like this:

    in the appropriate change method set the new axis `p.xaxis =
    DatetimeAxis()` or `p.xaxis = CategoricalAxis()`

    I wouldn't use the x_axis_type as that would mean creating a new
    Figure.

    I don't know if this will actually work, but that's what I'd try.

    Bird

    On 1/18/16 12:59 AM, Zé Silva wrote:
    > First of all, congratulations on the awesome work being done with
    bokeh.
    > My question is:
    >
    > How can I change the x_axis_type through some Select? To be more
    > specific I am trying to modify the IMDB demo example
    > <http://demo.bokehplots.com/apps/movies
    <http://demo.bokehplots.com/apps/movies>> and would like to add some
    > Categorical and Datetime data to both x_axis and y_axis selectors. In
    > that specific example, that would be equivalent to add Genre and
    Year,
    > which would imply changing the axis type to categories and datetime,
    > respectively. This
    >
    <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb
    <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb>>
    notebook
    > didn't help much.
    >
    > Thanks,
    >
    > Jose
    >
    > --
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    > <mailto:[email protected] <javascript:>>.
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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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I have an open issue related to this, though it is using Plot not Figure.

···

On Wednesday, January 20, 2016 at 3:17:38 AM UTC-6, Zé Silva wrote:

Hi Sarah, thanks for the reply. I tried adding the following on the update() function

if x_axis.value == 'Product':
    p.xaxis = CategoricalAxis()


and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().


Any further suggestions?

On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:

Hi Jose,

That notebook is just changing the data, so wouldn’t address your needs.

Given that you’re modifying the IMDB example you’re using the server, I

would try something like this:

in the appropriate change method set the new axis `p.xaxis =

DatetimeAxis()orp.xaxis = CategoricalAxis()`

I wouldn’t use the x_axis_type as that would mean creating a new Figure.

I don’t know if this will actually work, but that’s what I’d try.

Bird

On 1/18/16 12:59 AM, Zé Silva wrote:

First of all, congratulations on the awesome work being done with bokeh.

My question is:

How can I change the x_axis_type through some Select? To be more

specific I am trying to modify the IMDB demo example

<http://demo.bokehplots.com/apps/movies> and would like to add some

Categorical and Datetime data to both x_axis and y_axis selectors. In

that specific example, that would be equivalent to add Genre and Year,

which would imply changing the axis type to categories and datetime,

respectively. This

<http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb> notebook

didn’t help much.

Thanks,

Jose


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Ze, in case you're interested, here's a snippet of a chat nick and i had

Nick: the conclusion I came to is the only short term fix was to
pre-create them all, add them to renderers, and set visibility on only
the one you want to see

Nick: this still required a change, but it is a one line change in some
of the layout functionality in bokehjs

Me: so you had your own build of bokehjs

Nick: yeah, I’ve been working through it seeing if it was something
simple, but I couldn’t find it if so

Nick: for being able to add/remove them at will wasn’t simple I mean,
the visibility method isn’t too bad

Sorry this isn't super easy right now.

The issue that nick referenced is probably the best place to follow.

···

On 1/20/16 7:31 AM, Nick Roth wrote:

I have an open issue related to this, though it is using Plot not Figure.

https://github.com/bokeh/bokeh/issues/3626

On Wednesday, January 20, 2016 at 3:17:38 AM UTC-6, Zé Silva wrote:

    Hi Sarah, thanks for the reply. I tried adding the following on the
    update() function

    if x_axis.value == 'Product':
    p.xaxis = CategoricalAxis()

    and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().

    Any further suggestions?

    On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:

        Hi Jose,

        That notebook is just changing the data, so wouldn't address
        your needs.

        Given that you're modifying the IMDB example you're using the
        server, I
        would try something like this:

        in the appropriate change method set the new axis `p.xaxis =
        DatetimeAxis()` or `p.xaxis = CategoricalAxis()`

        I wouldn't use the x_axis_type as that would mean creating a new
        Figure.

        I don't know if this will actually work, but that's what I'd try.

        Bird

        On 1/18/16 12:59 AM, Zé Silva wrote:
        > First of all, congratulations on the awesome work being done
        with bokeh.
        > My question is:
        >
        > How can I change the x_axis_type through some Select? To be more
        > specific I am trying to modify the IMDB demo example
        > <http://demo.bokehplots.com/apps/movies
        <http://demo.bokehplots.com/apps/movies>> and would like to add
        some
        > Categorical and Datetime data to both x_axis and y_axis
        selectors. In
        > that specific example, that would be equivalent to add Genre
        and Year,
        > which would imply changing the axis type to categories and
        datetime,
        > respectively. This
        >
        <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb
        <http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb>>
        notebook
        > didn't help much.
        >
        > Thanks,
        >
        > Jose
        >
        > --
        > You received this message because you are subscribed to the
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        > Groups "Bokeh Discussion - Public" group.
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        it, send
        > an email to [email protected]
        > <mailto:[email protected]>.
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        >
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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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Thanks Sarah. I’ll have a look as soon as I have a bit of time to go through it.

Cheers,

···

On 20 January 2016 at 19:23, Sarah Bird [email protected] wrote:

Ze, in case you’re interested, here’s a snippet of a chat nick and i had

Nick: the conclusion I came to is the only short term fix was to

pre-create them all, add them to renderers, and set visibility on only

the one you want to see

Nick: this still required a change, but it is a one line change in some

of the layout functionality in bokehjs

Me: so you had your own build of bokehjs

Nick: yeah, I’ve been working through it seeing if it was something

simple, but I couldn’t find it if so

Nick: for being able to add/remove them at will wasn’t simple I mean,

the visibility method isn’t too bad

Sorry this isn’t super easy right now.

The issue that nick referenced is probably the best place to follow.

On 1/20/16 7:31 AM, Nick Roth wrote:

I have an open issue related to this, though it is using Plot not Figure.

https://github.com/bokeh/bokeh/issues/3626

On Wednesday, January 20, 2016 at 3:17:38 AM UTC-6, Zé Silva wrote:

Hi Sarah, thanks for the reply. I tried adding the following on the
update() function
if x_axis.value == 'Product':
p.xaxis = CategoricalAxis()
and I got an AttributeError: unexpected attribute 'xaxis' to Figure. However xaxis shows up when running dir(p) inside the update().
Any further suggestions?
On Wednesday, 20 January 2016 08:23:28 UTC+1, Sarah Bird wrote:
    Hi Jose,
    That notebook is just changing the data, so wouldn't address
    your needs.
    Given that you're modifying the IMDB example you're using the
    server, I
    would try something like this:
    in the appropriate change method set the new axis `p.xaxis =
    DatetimeAxis()` or `p.xaxis = CategoricalAxis()`
    I wouldn't use the x_axis_type as that would mean creating a new
    Figure.
    I don't know if this will actually work, but that's what I'd try.
    Bird
    On 1/18/16 12:59 AM, Zé Silva wrote:
    > First of all, congratulations on the awesome work being done
    with bokeh.
    > My question is:
    >
    > How  can I change the x_axis_type through some Select? To be more
    > specific I am trying to modify the IMDB demo example
    > <[http://demo.bokehplots.com/apps/movies](http://demo.bokehplots.com/apps/movies)
    <[http://demo.bokehplots.com/apps/movies](http://demo.bokehplots.com/apps/movies)>> and would like to add
    some
    > Categorical and Datetime data to both x_axis and y_axis
    selectors. In
    > that specific example, that would be equivalent to add Genre
    and Year,
    > which would imply changing the axis type to categories and
    datetime,
    > respectively. This
    >
    <[http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb](http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb)
    <[http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb](http://nbviewer.jupyter.org/github/birdsarah/bokeh-miscellany/blob/master/tests/1017_select_widget_categorical_axis.ipynb)>>
    notebook
    > didn't help much.
    >
    > Thanks,
    >
    > Jose
    >
    > --
    > You received this message because you are subscribed to the
    Google
    > Groups "Bokeh Discussion - Public" group.
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    it, send
    > an email to [email protected]
    > <mailto:[email protected]>.
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    > <mailto:[email protected]>.
    > To view this discussion on the web visit
    >
    [https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io](https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io)
    <[https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io](https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io)>
    >
    <[https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io?utm_medium=email&utm_source=footer](https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io?utm_medium=email&utm_source=footer)
    <[https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io?utm_medium=email&utm_source=footer](https://groups.google.com/a/continuum.io/d/msgid/bokeh/5113cac6-bf27-47b3-b80a-2b6d140d50e2%40continuum.io?utm_medium=email&utm_source=footer)>>.
    > For more options, visit
    [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout)
    <[https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout)>.

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Jose Pedro Silva