Embedding multiple plots and charts with the same layout, (BOTh_CHILD_AND_ROOT) error.

The code in the SO post looks like its from the examples not your actual embed code.

Can u share your actual embed code.

Off the cuff I’d suggest trying uppercase Figure instead of figure.

Best,

Sarah Bird
sbird@continuum.io

On Apr 22, 2016, at 7:44 AM, naejniluomud@gmail.com wrote:

Good afternoon everyone.

It’s been three days since I began using Bokeh, and I like the work it’s doing for me to build some charts.

Yet I experienced a problem yesterday for which I found no real solution.

http://stackoverflow.com/questions/36790288/bokeh-ploting-multiples-charts-in-a-layout-throws-error-both-child-and-root

I described everything in StackOverflow, but since there’s not much people to see, comment and answer Bokeh-oriented question there, I’m posting my problem here too.

I hope someone will know what I’m doing wrong. Thanks for your help.

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Two things:

1. we’re making this better so hopefully this won’t be so painful in future

2. I would suggeste VBox or vplot

3. use p.add_layout the manually extending renderers

Sarah Bird
sbird@continuum.io

On Apr 22, 2016, at 9:19 AM, naejniluomud@gmail.com wrote:

The code in my SO post is indeed the one from the example, because even the example isn’t working and is throwing the error (BOTH_CHILD_AND_ROOT) !

My own code may have other problems which I didn’t want people to focus on.

Anyway, here goes my own code.

def bokeh_temperature_scatter_plot():

    data_set = CSVModel.objects.all()
    x_data = []
    y_data = []

    for Model in data_set:
        x_data.append(Model.cpu)
        y_data.append(Model.temperature)

    dic = {'cpu': x_data, 'temperature': y_data}

    df = pd.DataFrame(dic)

    p = Scatter(df, x='cpu', y='temperature', title=u'Temperature vs CPU', color=u'navy', xlabel=u'CPU in MB'\
                , ylabel=u'Temperature °C' )
    colors = RdBu9
    box_cold = BoxAnnotation(plot=p, top=50, fill_alpha=0.1, fill_color=colors[0])

    box_normal = BoxAnnotation(plot=p, bottom=50, top=100, fill_alpha=0.1, fill_color=colors[4])

    box_hot = BoxAnnotation(plot=p, bottom=100, fill_alpha=0.1, fill_color=colors[7])

    p.renderers.extend([box_cold, box_normal, box_hot])

    return p

def bokeh_bar_chart_test():

data_set = CSVModel.objects.all()
x_data = []
y_data = []

dic = {'values': {}}

for Model in data_set:
    x_data.append(Model.date)
    y_data.append(Model.cpu)

x_test = [x.strftime("%Y-%m-%d") for x in x_data]

for x in x_test:
    i = x_test.index(x)
    dic['values'][x]=y_data[i]
df = pd.DataFrame(dic)

p = Bar(df, agg='count', values='values', title='Quantity sold by model', color='blue', width = 800,\
        tools=[HoverTool()])

hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
    ("CPU", "$y"),
    ("Date", "@x")
]

return p

In a python console :

from functions import bokeh_xml_test, bokeh_bar_chart_test

from bokeh.io import vform

form = vform (bokeh_xml_test(),bokeh_bar_chart_test())

show(form)

This only shows a blank page.

Then, if I add an output_file and retrieve an html file and opens it in my browser, the same thing happens. And the same thing if I retrieve javascript et div like that :

javascript, div = components(vform)

and add these in an html file.

Thanks for taking the time to help me solve this.

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Le vendredi 22 avril 2016 20:44:22 UTC+2, Sarah Bird a écrit :

Ok great.

Two things:

1. we’re making this better so hopefully this won’t be so painful in future

2. I would suggeste VBox or vplot

3. use p.add_layout the manually extending renderers

Sarah Bird
sb...@continuum.io

On Apr 22, 2016, at 9:19 AM, naejni...@gmail.com wrote:

The code in my SO post is indeed the one from the example, because even the example isn’t working and is throwing the error (BOTH_CHILD_AND_ROOT) !

My own code may have other problems which I didn’t want people to focus on.

Anyway, here goes my own code.

def bokeh_temperature_scatter_plot():

    data_set = CSVModel.objects.all()
    x_data = []
    y_data = []

    for Model in data_set:
        x_data.append(Model.cpu)
        y_data.append(Model.temperature)

    dic = {'cpu': x_data, 'temperature': y_data}

    df = pd.DataFrame(dic)

    p = Scatter(df, x='cpu', y='temperature', title=u'Temperature vs CPU', color=u'navy', xlabel=u'CPU in MB'\
                , ylabel=u'Temperature °C' )
    colors = RdBu9
    box_cold = BoxAnnotation(plot=p, top=50, fill_alpha=0.1, fill_color=colors[0])

    box_normal = BoxAnnotation(plot=p, bottom=50, top=100, fill_alpha=0.1, fill_color=colors[4])

    box_hot = BoxAnnotation(plot=p, bottom=100, fill_alpha=0.1, fill_color=colors[7])

    p.renderers.extend([box_cold, box_normal, box_hot])

    return p

def bokeh_bar_chart_test():

data_set = CSVModel.objects.all()
x_data = []
y_data = []

dic = {'values': {}}

for Model in data_set:
    x_data.append(Model.date)
    y_data.append(Model.cpu)

x_test = [x.strftime("%Y-%m-%d") for x in x_data]

for x in x_test:
    i = x_test.index(x)
    dic['values'][x]=y_data[i]
df = pd.DataFrame(dic)

p = Bar(df, agg='count', values='values', title='Quantity sold by model', color='blue', width = 800,\
        tools=[HoverTool()])

hover = p.select_one(HoverTool)
hover.point_policy = "follow_mouse"
hover.tooltips = [
    ("CPU", "$y"),
    ("Date", "@x")
]

return p

In a python console :

from functions import bokeh_xml_test, bokeh_bar_chart_test

from bokeh.io import vform

form = vform (bokeh_xml_test(),bokeh_bar_chart_test())

show(form)

This only shows a blank page.

Then, if I add an output_file and retrieve an html file and opens it in my browser, the same thing happens. And the same thing if I retrieve javascript et div like that :

javascript, div = components(vform)

and add these in an html file.

Thanks for taking the time to help me solve this.

–

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