js callback

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])
df.reset_index(inplace=True)
df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)
p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""
var data = source.get(‘data’);
var f = cb_obj.get(‘value’)
x = data[‘x’]
y = data[f]
source.trigger(‘change’);
“”")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

``

You’re assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data[‘y’] = data[f] or something like that.

···

On Tue, Oct 6, 2015 at 2:47 PM, waqy [email protected] wrote:

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])
df.reset_index(inplace=True)
df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)
p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""
var data = source.get(‘data’);
var f = cb_obj.get(‘value’)
x = data[‘x’]
y = data[f]
source.trigger(‘change’);
“”")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

``

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I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.

http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

···

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:

You’re assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data[‘y’] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy [email protected] wrote:

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])
df.reset_index(inplace=True)
df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)
p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""
var data = source.get(‘data’);
var f = cb_obj.get(‘value’)
x = data[‘x’]
y = data[f]
source.trigger(‘change’);
“”")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

``

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Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

    {
        'x': [1,3,4,4,...],
        'y1': [....],
        'y2': [....],
        'y3': [....]
    }

To actually see any changes, you need to do one of two things:

* update the "y" property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

* make a special "y" column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file("bkh_df.html")

df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
df.reset_index(inplace=True)
df.columns = ['x', 'y1', 'y2', 'y3']
df['y'] = df['y1'] # NEW
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
p1.circle(source=source, x='x', y='y', size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""
        var data = source.get('data');
        var f = cb_obj.get('value')
        data['y'] = data[f] # CHANGED
        source.trigger('change');
    """)

y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)

show((hplot(y_axis, p1)))

···

On Oct 6, 2015, at 2:17 PM, waqy <[email protected]> wrote:

I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.
http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:
You're assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data['y'] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy <[email protected]> wrote:
I'm trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I've defined a 'Select' tool that allows me to choose the 'y' value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I've used. I'm not familiar with javascript, though I've observed that the variable f does reflect what is chosen in 'Select'.

I think source.trigger('change') is not triggering a change.

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file("bkh_df.html")

df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
df.reset_index(inplace=True)
df.columns = ['x', 'y1', 'y2', 'y3']
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
p1.circle(source=source, x='x', y='y1', size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""
        var data = source.get('data');
        var f = cb_obj.get('value')
        x = data['x']
        y = data[f]
        source.trigger('change');
    """)

y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)

show((hplot(y_axis, p1)))

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Thanks. That clears things a little bit.
A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?

···

On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:

Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

{

    'x': [1,3,4,4,...],

    'y1': [....],

    'y2': [....],

    'y3': [....]

}

To actually see any changes, you need to do one of two things:

  • update the “y” property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

  • make a special “y” column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

df[‘y’] = df[‘y1’] # NEW
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y’, size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');

    var f = cb_obj.get('value')

    data['y'] = data[f]            # CHANGED

    source.trigger('change');

""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

On Oct 6, 2015, at 2:17 PM, waqy [email protected] wrote:

I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.
http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:

You’re assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data[‘y’] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy [email protected] wrote:

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');
    var f = cb_obj.get('value')
    x = data['x']
    y = data[f]
    source.trigger('change');
""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))


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I am wondering similar things about the charts interface…

···

On Tue, Oct 6, 2015 at 4:19 PM, waqy [email protected] wrote:

Thanks. That clears things a little bit.
A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?

On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:

Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

{

    'x': [1,3,4,4,...],

    'y1': [....],

    'y2': [....],

    'y3': [....]

}

To actually see any changes, you need to do one of two things:

  • update the “y” property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

  • make a special “y” column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

df[‘y’] = df[‘y1’] # NEW
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y’, size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');

    var f = cb_obj.get('value')

    data['y'] = data[f]            # CHANGED

    source.trigger('change');

""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

On Oct 6, 2015, at 2:17 PM, waqy [email protected] wrote:

I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.
http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:

You’re assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data[‘y’] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy [email protected] wrote:

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');
    var f = cb_obj.get('value')
    x = data['x']
    y = data[f]
    source.trigger('change');
""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))


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The short answer is "yes" but the longer answer is that it's probably not as convenient as it could be. In particular, passing the data frame will not work, you'd have to poke around and get the right data source and pass that in. Suggestions for simple and approachable spellings are welcome.

Bryan

···

On Oct 7, 2015, at 3:28 PM, Ben Cipollini <[email protected]> wrote:

I am wondering similar things about the charts interface...

On Tue, Oct 6, 2015 at 4:19 PM, waqy <[email protected]> wrote:
Thanks. That clears things a little bit.
A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?

On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:

Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

    {
        'x': [1,3,4,4,...],
        'y1': [....],
        'y2': [....],
        'y3': [....]
    }

To actually see any changes, you need to do one of two things:

* update the "y" property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

* make a special "y" column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file("bkh_df.html")

df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
df.reset_index(inplace=True)
df.columns = ['x', 'y1', 'y2', 'y3']
df['y'] = df['y1'] # NEW
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
p1.circle(source=source, x='x', y='y', size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""
        var data = source.get('data');
        var f = cb_obj.get('value')
        data['y'] = data[f] # CHANGED
        source.trigger('change');
    """)

y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)

show((hplot(y_axis, p1)))

> On Oct 6, 2015, at 2:17 PM, waqy <[email protected]> wrote:
>
> I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].
>
> This is what I could understand by the provided bokeh example.
> http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets
>
>
> On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:
> You're assigning columns from data to the variables y & x, you are not updating the data frame.
>
> you probably want to do data['y'] = data[f] or something like that.
>
> On Tue, Oct 6, 2015 at 2:47 PM, waqy <[email protected]> wrote:
> I'm trying to implement the js callback using one of the examples provided.
>
> I have a dataframe with 3 different y columns (y1, y2, y3) and I've defined a 'Select' tool that allows me to choose the 'y' value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.
>
> Here is the code I've used. I'm not familiar with javascript, though I've observed that the variable f does reflect what is chosen in 'Select'.
>
> I think source.trigger('change') is not triggering a change.
>
>
> from bokeh.io import hplot, vplot
> from bokeh.plotting import figure, output_file, show
> from bokeh.models import CustomJS, ColumnDataSource, Select
> import pandas as pd
> import numpy as np
>
>
> output_file("bkh_df.html")
>
>
> df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
> df.reset_index(inplace=True)
> df.columns = ['x', 'y1', 'y2', 'y3']
> source=ColumnDataSource(data=df)
>
>
> p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
> p1.circle(source=source, x='x', y='y1', size=20, alpha=0.5)
>
>
> callback = CustomJS(args=dict(source=source), code="""
> var data = source.get('data');
> var f = cb_obj.get('value')
> x = data['x']
> y = data[f]
> source.trigger('change');
> """)
>
>
>
>
> y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)
>
>
> show((hplot(y_axis, p1)))
>
>
>
>
>
>
> --
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Thanks! Can you point to any docs or examples on how to get this done? I tried using an AjaxDataSource with the BoxPlot chart, but didn’t get anywhere.

···

On Wed, Oct 7, 2015 at 1:52 PM, Bryan Van de Ven [email protected] wrote:

The short answer is “yes” but the longer answer is that it’s probably not as convenient as it could be. In particular, passing the data frame will not work, you’d have to poke around and get the right data source and pass that in. Suggestions for simple and approachable spellings are welcome.

Bryan

On Oct 7, 2015, at 3:28 PM, Ben Cipollini [email protected] wrote:

I am wondering similar things about the charts interface…

On Tue, Oct 6, 2015 at 4:19 PM, waqy [email protected] wrote:

Thanks. That clears things a little bit.

A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?

On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:

Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

{
    'x': [1,3,4,4,...],
    'y1': [....],
    'y2': [....],
    'y3': [....]
}

To actually see any changes, you need to do one of two things:

  • update the “y” property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

  • make a special “y” column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

df[‘y’] = df[‘y1’] # NEW

source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y’, size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');
    var f = cb_obj.get('value')
    data['y'] = data[f]            # CHANGED
    source.trigger('change');
""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

On Oct 6, 2015, at 2:17 PM, waqy [email protected] wrote:

I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.

http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:

You’re assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data[‘y’] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy [email protected] wrote:

I’m trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I’ve defined a ‘Select’ tool that allows me to choose the ‘y’ value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I’ve used. I’m not familiar with javascript, though I’ve observed that the variable f does reflect what is chosen in ‘Select’.

I think source.trigger(‘change’) is not triggering a change.

from bokeh.io import hplot, vplot

from bokeh.plotting import figure, output_file, show

from bokeh.models import CustomJS, ColumnDataSource, Select

import pandas as pd

import numpy as np

output_file(“bkh_df.html”)

df = pd.DataFrame(np.random.randn(10,3), columns=[‘y1’,‘y2’,‘y3’])

df.reset_index(inplace=True)

df.columns = [‘x’, ‘y1’, ‘y2’, ‘y3’]

source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location=‘right’)

p1.circle(source=source, x=‘x’, y=‘y1’, size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""

    var data = source.get('data');
    var f = cb_obj.get('value')
    x = data['x']
    y = data[f]
    source.trigger('change');
""")

y_axis = Select(title=“Y:”, value=‘y1’, options=[‘y1’, ‘y2’, ‘y3’], callback=callback)

show((hplot(y_axis, p1)))

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I'm afraid I don't have an example at hand. However, one way to find objects in side a collection of Bokeh models is to use the .select method to query the object graph. YOu can see more info here:

  http://bokeh.pydata.org/en/latest/docs/reference/models/plots.html#bokeh.models.plots.Plot.select

Bryan

···

On Oct 7, 2015, at 4:00 PM, Ben Cipollini <[email protected]> wrote:

Thanks! Can you point to any docs or examples on how to get this done? I tried using an AjaxDataSource with the BoxPlot chart, but didn't get anywhere.

On Wed, Oct 7, 2015 at 1:52 PM, Bryan Van de Ven <[email protected]> wrote:
The short answer is "yes" but the longer answer is that it's probably not as convenient as it could be. In particular, passing the data frame will not work, you'd have to poke around and get the right data source and pass that in. Suggestions for simple and approachable spellings are welcome.

Bryan

> On Oct 7, 2015, at 3:28 PM, Ben Cipollini <[email protected]> wrote:
>
> I am wondering similar things about the charts interface...
>
> On Tue, Oct 6, 2015 at 4:19 PM, waqy <[email protected]> wrote:
> Thanks. That clears things a little bit.
> A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?
>
> On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:
>
> Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:
>
> {
> 'x': [1,3,4,4,...],
> 'y1': [....],
> 'y2': [....],
> 'y3': [....]
> }
>
> To actually see any changes, you need to do one of two things:
>
> * update the "y" property of the glyph to point to a different column
>
> This is probably a bit difficult to to at the moment, so the other option is:
>
> * make a special "y" column the glyph always uses, and copy data to and from it
>
> This is much easier, here is a working example:
>
> from bokeh.io import hplot, vplot
> from bokeh.plotting import figure, output_file, show
> from bokeh.models import CustomJS, ColumnDataSource, Select
> import pandas as pd
> import numpy as np
>
> output_file("bkh_df.html")
>
> df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
> df.reset_index(inplace=True)
> df.columns = ['x', 'y1', 'y2', 'y3']
> df['y'] = df['y1'] # NEW
> source=ColumnDataSource(data=df)
>
> p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
> p1.circle(source=source, x='x', y='y', size=20, alpha=0.5) # CHANGED
>
> callback = CustomJS(args=dict(source=source), code="""
> var data = source.get('data');
> var f = cb_obj.get('value')
> data['y'] = data[f] # CHANGED
> source.trigger('change');
> """)
>
> y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)
>
> show((hplot(y_axis, p1)))
>
>
>
> > On Oct 6, 2015, at 2:17 PM, waqy <[email protected]> wrote:
> >
> > I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].
> >
> > This is what I could understand by the provided bokeh example.
> > http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets
> >
> >
> > On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:
> > You're assigning columns from data to the variables y & x, you are not updating the data frame.
> >
> > you probably want to do data['y'] = data[f] or something like that.
> >
> > On Tue, Oct 6, 2015 at 2:47 PM, waqy <[email protected]> wrote:
> > I'm trying to implement the js callback using one of the examples provided.
> >
> > I have a dataframe with 3 different y columns (y1, y2, y3) and I've defined a 'Select' tool that allows me to choose the 'y' value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.
> >
> > Here is the code I've used. I'm not familiar with javascript, though I've observed that the variable f does reflect what is chosen in 'Select'.
> >
> > I think source.trigger('change') is not triggering a change.
> >
> >
> > from bokeh.io import hplot, vplot
> > from bokeh.plotting import figure, output_file, show
> > from bokeh.models import CustomJS, ColumnDataSource, Select
> > import pandas as pd
> > import numpy as np
> >
> >
> > output_file("bkh_df.html")
> >
> >
> > df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
> > df.reset_index(inplace=True)
> > df.columns = ['x', 'y1', 'y2', 'y3']
> > source=ColumnDataSource(data=df)
> >
> >
> > p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
> > p1.circle(source=source, x='x', y='y1', size=20, alpha=0.5)
> >
> >
> > callback = CustomJS(args=dict(source=source), code="""
> > var data = source.get('data');
> > var f = cb_obj.get('value')
> > x = data['x']
> > y = data[f]
> > source.trigger('change');
> > """)
> >
> >
> >
> >
> > y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)
> >
> >
> > show((hplot(y_axis, p1)))
> >
> >
> >
> >
> >
> >
> > --
> > 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].
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> > For more options, visit https://groups.google.com/a/continuum.io/d/optout.
> >
> >
> > --
> > 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/8f61f4d9-0a7f-4068-8e64-f4ee5c6bafad%40continuum.io.
> > For more options, visit https://groups.google.com/a/continuum.io/d/optout.
>
>
> --
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Can you add an issue on GH issue to discuss improving ease of use of callbacks with bokeh.charts?

Thanks,

Bryan

···

On Oct 9, 2015, at 3:01 PM, Bryan Van de Ven <[email protected]> wrote:

I'm afraid I don't have an example at hand. However, one way to find objects in side a collection of Bokeh models is to use the .select method to query the object graph. YOu can see more info here:

  http://bokeh.pydata.org/en/latest/docs/reference/models/plots.html#bokeh.models.plots.Plot.select

Bryan

On Oct 7, 2015, at 4:00 PM, Ben Cipollini <[email protected]> wrote:

Thanks! Can you point to any docs or examples on how to get this done? I tried using an AjaxDataSource with the BoxPlot chart, but didn't get anywhere.

On Wed, Oct 7, 2015 at 1:52 PM, Bryan Van de Ven <[email protected]> wrote:
The short answer is "yes" but the longer answer is that it's probably not as convenient as it could be. In particular, passing the data frame will not work, you'd have to poke around and get the right data source and pass that in. Suggestions for simple and approachable spellings are welcome.

Bryan

On Oct 7, 2015, at 3:28 PM, Ben Cipollini <[email protected]> wrote:

I am wondering similar things about the charts interface...

On Tue, Oct 6, 2015 at 4:19 PM, waqy <[email protected]> wrote:
Thanks. That clears things a little bit.
A follow up question: Can CustomJS be used with the charts interface in 0.10? What would I use for the source? Could I pass a dataframe to the callback ?

On Tuesday, October 6, 2015 at 12:48:19 PM UTC-7, Bryan Van de ven wrote:

Sarah is correct. The .data attribute is just a dictionary that maps column names to arrays of data:

   {
       'x': [1,3,4,4,...],
       'y1': [....],
       'y2': [....],
       'y3': [....]
   }

To actually see any changes, you need to do one of two things:

* update the "y" property of the glyph to point to a different column

This is probably a bit difficult to to at the moment, so the other option is:

* make a special "y" column the glyph always uses, and copy data to and from it

This is much easier, here is a working example:

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file("bkh_df.html")

df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
df.reset_index(inplace=True)
df.columns = ['x', 'y1', 'y2', 'y3']
df['y'] = df['y1'] # NEW
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
p1.circle(source=source, x='x', y='y', size=20, alpha=0.5) # CHANGED

callback = CustomJS(args=dict(source=source), code="""
       var data = source.get('data');
       var f = cb_obj.get('value')
       data['y'] = data[f] # CHANGED
       source.trigger('change');
   """)

y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)

show((hplot(y_axis, p1)))

On Oct 6, 2015, at 2:17 PM, waqy <[email protected]> wrote:

I think the y variable in js is the attribute of the plot. That is the one that needs updating and not data[y].

This is what I could understand by the provided bokeh example.
http://bokeh.pydata.org/en/latest/docs/user_guide/interaction.html#customjs-for-widgets

On Tuesday, October 6, 2015 at 12:08:00 PM UTC-7, Sarah Bird wrote:
You're assigning columns from data to the variables y & x, you are not updating the data frame.

you probably want to do data['y'] = data[f] or something like that.

On Tue, Oct 6, 2015 at 2:47 PM, waqy <[email protected]> wrote:
I'm trying to implement the js callback using one of the examples provided.

I have a dataframe with 3 different y columns (y1, y2, y3) and I've defined a 'Select' tool that allows me to choose the 'y' value to be plotted against the x values. I would expect the graph to change on selection, but I observe no change.

Here is the code I've used. I'm not familiar with javascript, though I've observed that the variable f does reflect what is chosen in 'Select'.

I think source.trigger('change') is not triggering a change.

from bokeh.io import hplot, vplot
from bokeh.plotting import figure, output_file, show
from bokeh.models import CustomJS, ColumnDataSource, Select
import pandas as pd
import numpy as np

output_file("bkh_df.html")

df = pd.DataFrame(np.random.randn(10,3), columns=['y1','y2','y3'])
df.reset_index(inplace=True)
df.columns = ['x', 'y1', 'y2', 'y3']
source=ColumnDataSource(data=df)

p1 = figure(plot_width=500, plot_height=300, logo=None, toolbar_location='right')
p1.circle(source=source, x='x', y='y1', size=20, alpha=0.5)

callback = CustomJS(args=dict(source=source), code="""
       var data = source.get('data');
       var f = cb_obj.get('value')
       x = data['x']
       y = data[f]
       source.trigger('change');
   """)

y_axis = Select(title="Y:", value='y1', options=['y1', 'y2', 'y3'], callback=callback)

show((hplot(y_axis, p1)))

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