Bokeh CheckboxButtonGroup - My plot do not update

https://github.com/bokeh/bokeh/blob/master/examples/app/movies/main.py#L88
https://github.com/bokeh/bokeh-demos/blob/master/weather/main.py#L60
On 5/15/16 2:40 PM, wrote:

totonha5@gmail.com

Hi,

      I am no very good in python and I need some help with the

code attached.

      I am trying to use a CheckboxButtonGroup to swicth between

data based on a column value. Can some one have a look in the
code and correct it.

Thanks a lot.

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On 5/15/16 7:49 PM, wrote:

totonha5@gmail.com

Hi Sarah,

Thanks for the aswer.

      I add the following code but still not worlking, any ideas

why?

– Set up callbacks –

          def

select_cast(active):

           cast = cast_button_group.active

           if (cast == 1) is True:

               source = df1.loc[df1['Flag'] == "Downcast"]

           if (cast == 2) is True:

               source = df1.loc[df1['Flag'] == "Upcast"]

           if (cast == 0) is True:

               source = df1

           return source

          def

update_data(attrname, old, new):

           df = select_cast()

           source.data = dict(

                   Pressure=df["Pressure"],

                   Depth=df["Depth"],

                   Temperature=df["Temperature"],

                   Salinity=df["Salinity"],

                   Conductivity=df["Conductivity"],

                   Density=df["Density"],

                   DescentRate=df["Descent Rate"],

                   SoundVelocity=df["Sound Velocity"],

                   Oxygenraw=df["Oxygen raw"],

                   Oxygenmgl=df["Oxygen [mg/l]"],

                   Oxygenpercent=df["Oxygen [%]"],

                   Flag=df["Flag"]

                   )

          controls

= [cast_button_group]

          for

control in controls:

           control.on_click(update_data)

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On May 16, 2016, at 10:04 AM, totonha5@gmail.com wrote:

Hi Sarah,

Sorry I was not thinking correctly yesterday. I try to add the result in a python dictionary, but without success (Beginning in python programming).
The error message is <bokeh.models.sources.ColumnDataSource at 0x7f015705c8d0>

Please find attached the code and data example.

Thanks,

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<Bokeh_CheckboxButtonGroup.py><Example.xlsx>

On May 16, 2016, at 10:40 AM, totonha5@gmail.com wrote:

Hi Bryan,

I convert the pandas dataframe to a python dictionary with the code .to_dict() , but with no success. The new_data is a dict now but my source give me the same problem <bokeh.models.sources.ColumnDataSource at 0x7f015705c8d0>.

My code
def select_cast():
    new_data =
    if (cast_button_group.active == 1) is True:
        new_data = df1.loc[df1['Flag'] == "Downcast"].to_dict()
    if (cast_button_group.active == 2) is True:
        new_data = df1.loc[df1['Flag'] == "Upcast"].to_dict()
    if (cast_button_group.active == 0) is True:
        new_data = df1.to_dict()
    return new_data

def update_data(attrname, old, new):
    df = select_cast()
    data = dict(
            Pressure=df["Pressure"],
            Depth=df["Depth"],
            Temperature=df["Temperature"],
            Salinity=df["Salinity"],
            Conductivity=df["Conductivity"],
            Density=df["Density"],
            DescentRate=df["Descent Rate"],
            SoundVelocity=df["Sound Velocity"],
            Oxygenraw=df["Oxygen raw"],
            Oxygenmgl=df["Oxygen [mg/l]"],
            Oxygenpercent=df["Oxygen [%]"],
            Flag=df["Flag"]
            )
    source.data = new_data
    
controls = [cast_button_group]
for control in controls:
    control.on_click(update_data)

Thanks,

Maria

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Em segunda-feira, 16 de maio de 2016 12:43:26 UTC-3, Bryan Van de ven escreveu:

Maria,

That’s not an error, that’s the “repr” or printed representation of a python object that would show up in a python interpreter. How are you trying to run this code? Bokeh server applications have to be run by the bokeh server itself, not the normal python interpreter. So, if your code is in a file “myapp.py”, you’d need to run something like:

    bokeh serve --show myapp.py

at your Bash or DOS command prompt.

Bryan

On May 16, 2016, at 10:40 AM, toto...@gmail.com wrote:

Hi Bryan,

I convert the pandas dataframe to a python dictionary with the code .to_dict() , but with no success. The new_data is a dict now but my source give me the same problem <bokeh.models.sources.ColumnDataSource at 0x7f015705c8d0>.

My code

def select_cast():

new_data = []

if (cast_button_group.active == 1) is True:

    new_data = df1.loc[df1['Flag'] == "Downcast"].to_dict()

if (cast_button_group.active == 2) is True:

    new_data = df1.loc[df1['Flag'] == "Upcast"].to_dict()

if (cast_button_group.active == 0) is True:

    new_data = df1.to_dict()

return new_data

def update_data(attrname, old, new):

df = select_cast()

data = dict(

        Pressure=df["Pressure"],

        Depth=df["Depth"],

        Temperature=df["Temperature"],

        Salinity=df["Salinity"],

        Conductivity=df["Conductivity"],

        Density=df["Density"],

        DescentRate=df["Descent Rate"],

        SoundVelocity=df["Sound Velocity"],

        Oxygenraw=df["Oxygen raw"],

        Oxygenmgl=df["Oxygen [mg/l]"],

        Oxygenpercent=df["Oxygen [%]"],

        Flag=df["Flag"]

        )

source.data = new_data

controls = [cast_button_group]

for control in controls:

control.on_click(update_data)

Thanks,

Maria

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On May 16, 2016, at 10:50 AM, totonha5@gmail.com wrote:

Hi Bryan,

I am running in a Jupyter notebook. The html generate by the code is empty (no data) maybe a problem with the if section?

Em segunda-feira, 16 de maio de 2016 12:43:26 UTC-3, Bryan Van de ven escreveu:
Maria,

That's not an error, that's the "repr" or printed representation of a python object that would show up in a python interpreter. How are you trying to run this code? Bokeh server applications have to be run by the bokeh server itself, not the normal python interpreter. So, if your code is in a file "myapp.py", you'd need to run something like:

        bokeh serve --show myapp.py

at your Bash or DOS command prompt.

Bryan

> On May 16, 2016, at 10:40 AM, toto...@gmail.com wrote:
>
> Hi Bryan,
>
> I convert the pandas dataframe to a python dictionary with the code .to_dict() , but with no success. The new_data is a dict now but my source give me the same problem <bokeh.models.sources.ColumnDataSource at 0x7f015705c8d0>.
>
> My code
> def select_cast():
> new_data =
> if (cast_button_group.active == 1) is True:
> new_data = df1.loc[df1['Flag'] == "Downcast"].to_dict()
> if (cast_button_group.active == 2) is True:
> new_data = df1.loc[df1['Flag'] == "Upcast"].to_dict()
> if (cast_button_group.active == 0) is True:
> new_data = df1.to_dict()
> return new_data
>
>
>
>
> def update_data(attrname, old, new):
> df = select_cast()
> data = dict(
> Pressure=df["Pressure"],
> Depth=df["Depth"],
> Temperature=df["Temperature"],
> Salinity=df["Salinity"],
> Conductivity=df["Conductivity"],
> Density=df["Density"],
> DescentRate=df["Descent Rate"],
> SoundVelocity=df["Sound Velocity"],
> Oxygenraw=df["Oxygen raw"],
> Oxygenmgl=df["Oxygen [mg/l]"],
> Oxygenpercent=df["Oxygen [%]"],
> Flag=df["Flag"]
> )
> source.data = new_data
>
> controls = [cast_button_group]
> for control in controls:
> control.on_click(update_data)
>
>
> Thanks,
>
> Maria
>
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On May 16, 2016, at 22:16, totonha5@gmail.com wrote:

Hi,

I change the code but no succes. I do not have any error but no data appear on the plots.

Maria

def update_data(old, new):
cast_val = cast_button_group.active
new_df = pd.read_excel(xlsx, ‘Day’)

if (cast_button_group.active == 1):
    new_df = new_df.loc[df1['Flag'] == "Downcast"].to_dict()
elif (cast_button_group.active == 2):
    new_df = dfU.loc[df1['Flag'] == "Upcast"].to_dict()
else:
    new_df = new_df.to_dict()


df = new_df
source.date = dict(
        Pressure=df["Pressure"],
        Depth=df["Depth"],
        Temperature=df["Temperature"],
        Salinity=df["Salinity"],
        Conductivity=df["Conductivity"],
        Density=df["Density"],
        DescentRate=df["Descent Rate"],
        SoundVelocity=df["Sound Velocity"],
        Oxygenraw=df["Oxygen raw"],
        Oxygenmgl=df["Oxygen [mg/l]"],
        Oxygenpercent=df["Oxygen [%]"],
        Flag=df["Flag"]
        )

controls = [cast_button_group]
for control in controls:
control.on_click(update_data)

– end –

``

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<Bokeh_CheckboxButtonGroup.py>

On May 21, 2016, at 21:04, totonha5@gmail.com wrote:

Hi Bryan,

I find that I need to use a callback for the widget to work. (Ratio do not use callback, so this tool is not working inside a HTML, I think)

I try to use a callback but no success .

– Set up Ratio button to show/hide cast –

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

// get data source from Callback args

var plot_data = source.get(‘data’);

var original_data = original_source.get(‘data’);

var cast = cb_obj.get(‘value’);

/// update data source with new attribute

if (cast == ‘Both’) { return; };

else if (cast == ‘Downcast’) {

plot_data.filter(data[‘Flag’], cast);

//source = df1.loc[df1[‘Flag’] == “Downcast”];

};

// trigger update of data source

source.trigger(‘change’);

“”")

cast_select = Select(value=‘Both’, title=‘Cast’, options=[‘Both’, ‘Downcast’, ‘Upcast’], callback=callback)

Can you have a look?

Thanks

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Em domingo, 22 de maio de 2016 08:46:44 UTC-3, Bryan Van de ven escreveu:

Can you provide some complete scripts that can be immediately run and investigated?

Thanks,

Bryan

On May 21, 2016, at 21:04, toto...@gmail.com wrote:

Hi Bryan,

I find that I need to use a callback for the widget to work. (Ratio do not use callback, so this tool is not working inside a HTML, I think)

I try to use a callback but no success .

– Set up Ratio button to show/hide cast –

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

// get data source from Callback args

var plot_data = source.get(‘data’);

var original_data = original_source.get(‘data’);

var cast = cb_obj.get(‘value’);

/// update data source with new attribute

if (cast == ‘Both’) { return; };

else if (cast == ‘Downcast’) {

plot_data.filter(data[‘Flag’], cast);

//source = df1.loc[df1[‘Flag’] == “Downcast”];

};

// trigger update of data source

source.trigger(‘change’);

“”")

cast_select = Select(value=‘Both’, title=‘Cast’, options=[‘Both’, ‘Downcast’, ‘Upcast’], callback=callback)

Can you have a look?

Thanks

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