[bokeh] AttributeError: '_list_attr_splat' object has no attribute

Wu,

There may be more than one legend, so the .legends attribute has to return a *list* of legends. But there is often only one legend, so as a convenience the list returned is "splattable", i.e. you can *set* attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:

  fig.xaxis.title = "foo"

Which is nice. But there is no way to make that work when *getting* attributes (as you are doing). You have to get a particular items from the list, such as

  fig.legends[0].legends

Hope that helps,

Bryan

···

On Jan 17, 2016, at 4:54 AM, [email protected] wrote:

I can not access the legends attribute of figure

from bokeh.plotting import figure

fig = figure(plot_width=1200, plot_height=800)
fig.legend

gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]

but I can not get the legend content

fig.legend.legends

gives error: *** AttributeError: '_list_attr_splat' object has no attribute 'legends'

from the source code I can see, bokeh.models.annotations.Legend has legends attribute

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Hi Bryan,

I’m using py3 and bokeh 0.12 to create an interactive plot. I can’t configure the legend using either legend.x or legend().x (where x is one of the attributes). For example, I get the following error messages:

print(p.legend.label_text_font)

AttributeError: ‘_list_attr_splat’ object has no attribute ‘label_text_font’

print(p.legend().label_text_font)

TypeError: ‘_list_attr_splat’ object is not callable

print(p.legend[0].label_text_font)

IndexError: list index out of range

print(p.legends[0].legend.label_text_font)

AttributeError: ‘Figure’ object has no attribute ‘legends’

May you help me with this?

Thank you so much!

Caroline

···

On Monday, January 18, 2016 at 7:08:24 AM UTC-8, Bryan Van de ven wrote:

Wu,

There may be more than one legend, so the .legends attribute has to return a list of legends. But there is often only one legend, so as a convenience the list returned is “splattable”, i.e. you can set attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:

    fig.xaxis.title = "foo"

Which is nice. But there is no way to make that work when getting attributes (as you are doing). You have to get a particular items from the list, such as

    fig.legends[0].legends

Hope that helps,

Bryan

On Jan 17, 2016, at 4:54 AM, [email protected] wrote:

I can not access the legends attribute of figure

from bokeh.plotting import figure

fig = figure(plot_width=1200, plot_height=800)

fig.legend

gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]

but I can not get the legend content

fig.legend.legends

gives error: *** AttributeError: ‘_list_attr_splat’ object has no attribute ‘legends’

from the source code I can see, bokeh.models.annotations.Legend has legends attribute


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Since there may be more than one legend, the ".legends" property returns a special kind of list subclass that automatically "broadcasts" all attributes set on it, to all the contents. What it looks like is that you don't have any legends present, i.e that special broadcasting list is empty. In fact that definitely seems to be the case, given the "IndexError: list index out of range" shown below. Normally to get legends you have to pass a "legend" keyword argument to the glyph functions like p.circle() etc.:

  http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends

Or alternatively, have added a Legend manually with .add_layout() on the plot. Otherwise, there is no legend created automatically. Can you share more of your code?

Bryan

···

On Jun 23, 2016, at 5:30 PM, [email protected] wrote:

Hi Bryan,

I'm using py3 and bokeh 0.12 to create an interactive plot. I can't configure the legend using either legend.x or legend().x (where x is one of the attributes). For example, I get the following error messages:
print(p.legend.label_text_font)
AttributeError: '_list_attr_splat' object has no attribute 'label_text_font'

print(p.legend().label_text_font)
TypeError: '_list_attr_splat' object is not callable

print(p.legend[0].label_text_font)
IndexError: list index out of range

print(p.legends[0].legend.label_text_font)
AttributeError: 'Figure' object has no attribute 'legends'

May you help me with this?

Thank you so much!
Caroline

On Monday, January 18, 2016 at 7:08:24 AM UTC-8, Bryan Van de ven wrote:
Wu,

There may be more than one legend, so the .legends attribute has to return a *list* of legends. But there is often only one legend, so as a convenience the list returned is "splattable", i.e. you can *set* attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:

        fig.xaxis.title = "foo"

Which is nice. But there is no way to make that work when *getting* attributes (as you are doing). You have to get a particular items from the list, such as

        fig.legends[0].legends

Hope that helps,

Bryan

> On Jan 17, 2016, at 4:54 AM, [email protected] wrote:
>
> I can not access the legends attribute of figure
>
> from bokeh.plotting import figure
>
> fig = figure(plot_width=1200, plot_height=800)
> fig.legend
>
> gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]
>
> but I can not get the legend content
>
> fig.legend.legends
>
> gives error: *** AttributeError: '_list_attr_splat' object has no attribute 'legends'
>
> from the source code I can see, bokeh.models.annotations.Legend has legends attribute
>
> --
> You received this message because you are subscribed to the Google Groups "Bokeh Discussion - Public" group.
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> For more options, visit https://groups.google.com/a/continuum.io/d/optout.

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For more options, visit https://groups.google.com/a/continuum.io/d/optout.

Hi Bryan,

Thank you for the quick reply.

I did pass ‘legend’ keyword to each glyph I use. And I have a legend display on the plot, but I can’t modify the default settings of the legend.

My code structure is like:

# create a plot
p = Figure(plot_height=700, y_range=Range1d(0, 86400))
# configure outline
p.outline_line_color = 'grey'
p.outline_line_alpha = 0.75
# configure x axis
p.x_range = FactorRange()
p.xaxis[0].formatter = DatetimeTickFormatter(formats=dict(
    hours=["%Y-%m-%d"],
    days=["%Y-%m-%d"],
    months=["%Y-%m-%d"],
    years=["%Y-%m-%d"],
))
p.legend.location = 'bottom_left'
p.legend.background_fill_alpha = 0.3
p.legend.label_width = 100
p.legend.label_text_font = 'courier'
p.legend.border_line_color = 'white'
p.legend.border_line_alpha = 0.5
source = ColumnDataSource(data=dict(x=[], y=[], fill_color=[], drug_name=[], value=[]))
r = p.circle(x='x', y='y', source=source, fill_color='fill_color', line_color='pink', legend='Medication', size=20, alpha=0.75)
def update(attr, new, old):
source.data = dict(...)
some input widgets

curdoc().add_root(HBox(inputs, p))

Thank you so much!

Caroline


<details class='elided'>
<summary title='Show trimmed content'>&#183;&#183;&#183;</summary>

On Thu, Jun 23, 2016 at 3:38 PM, Bryan Van de Ven <[email protected]> wrote:
> Since there may be more than one legend, the ".legends" property returns a special kind of list subclass that automatically "broadcasts" all attributes set on it, to all the contents. What it looks like is that you don't have any legends present, i.e that special broadcasting list is empty. In fact that definitely seems to be the case, given the "IndexError: list index out of range" shown below. Normally to get legends you have to pass a "legend" keyword argument to the glyph functions like p.circle() etc.:
> 
> 
> 
>         [http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends](http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends)
> 
> 
> 
> Or alternatively, have added a Legend manually with .add_layout() on the plot. Otherwise, there is no legend created automatically. Can you share more of your code?
> 
> 
> 
> Bryan
> 
> 
> 
> 
> > On Jun 23, 2016, at 5:30 PM, [email protected] wrote:
> 
> >
> 
> > Hi Bryan,
> 
> >
> 
> > I'm using py3 and bokeh 0.12 to create an interactive plot. I can't configure the legend using either legend.x or legend().x (where x is one of the attributes). For example, I get the following error messages:
> 
> > print(p.legend.label_text_font)
> 
> > AttributeError: '_list_attr_splat' object has no attribute 'label_text_font'
> 
> >
> 
> > print(p.legend().label_text_font)
> 
> > TypeError: '_list_attr_splat' object is not callable
> 
> >
> 
> > print(p.legend[0].label_text_font)
> 
> > IndexError: list index out of range
> 
> >
> 
> > print(p.legends[0].legend.label_text_font)
> 
> > AttributeError: 'Figure' object has no attribute 'legends'
> 
> >
> 
> > May you help me with this?
> 
> >
> 
> > Thank you so much!
> 
> > Caroline
> 
> >
> 
> > On Monday, January 18, 2016 at 7:08:24 AM UTC-8, Bryan Van de ven wrote:
> 
> > Wu,
> 
> >
> 
> > There may be more than one legend, so the .legends attribute has to return a *list* of legends. But there is often only one legend, so as a convenience the list returned is "splattable", i.e. you can *set* attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:
> 
> >
> 
> >         fig.xaxis.title = "foo"
> 
> >
> 
> > Which is nice. But there is no way to make that work when *getting* attributes (as you are doing). You have to get a particular items from the list, such as
> 
> >
> 
> >         fig.legends[0].legends
> 
> >
> 
> > Hope that helps,
> 
> >
> 
> > Bryan
> 
> >
> 
> >
> 
> > > On Jan 17, 2016, at 4:54 AM, [email protected] wrote:
> 
> > >
> 
> > > I can not access the legends attribute of figure
> 
> > >
> 
> > > from bokeh.plotting import figure
> 
> > >
> 
> > > fig = figure(plot_width=1200, plot_height=800)
> 
> > > fig.legend
> 
> > >
> 
> > > gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]
> 
> > >
> 
> > > but I can not get the legend content
> 
> > >
> 
> > > fig.legend.legends
> 
> > >
> 
> > > gives error: *** AttributeError: '_list_attr_splat' object has no attribute 'legends'
> 
> > >
> 
> > > from the source code I can see, bokeh.models.annotations.Legend has legends attribute
> 
> > >
> 
> > > --
> 
> > > 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/4334d738-b499-4cd5-ab08-55c9fba8af60%40continuum.io](https://groups.google.com/a/continuum.io/d/msgid/bokeh/4334d738-b499-4cd5-ab08-55c9fba8af60%40continuum.io).
> 
> > > For more options, visit [https://groups.google.com/a/continuum.io/d/optout](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/d236acd9-2dda-4162-a1c9-fe8686056ba2%40continuum.io](https://groups.google.com/a/continuum.io/d/msgid/bokeh/d236acd9-2dda-4162-a1c9-fe8686056ba2%40continuum.io).
> 
> > For more options, visit [https://groups.google.com/a/continuum.io/d/optout](https://groups.google.com/a/continuum.io/d/optout).
> 
> 
> 
> --
> 
> You received this message because you are subscribed to a topic in the Google Groups "Bokeh Discussion - Public" group.
> 
> To unsubscribe from this topic, visit [https://groups.google.com/a/continuum.io/d/topic/bokeh/jlwh_kVv7-g/unsubscribe](https://groups.google.com/a/continuum.io/d/topic/bokeh/jlwh_kVv7-g/unsubscribe).
> 
> To unsubscribe from this group and all its topics, send an email to [email protected]
> 
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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).

</details>

The legend doesn’t exist until the first glyph call that has the legend kwatg. It looks like you just need to move the p.legend lines below that.

Bryan

···

On Thu, Jun 23, 2016 at 3:38 PM, Bryan Van de Ven [email protected] wrote:

Since there may be more than one legend, the “.legends” property returns a special kind of list subclass that automatically “broadcasts” all attributes set on it, to all the contents. What it looks like is that you don’t have any legends present, i.e that special broadcasting list is empty. In fact that definitely seems to be the case, given the “IndexError: list index out of range” shown below. Normally to get legends you have to pass a “legend” keyword argument to the glyph functions like p.circle() etc.:

    [http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends](http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends)

Or alternatively, have added a Legend manually with .add_layout() on the plot. Otherwise, there is no legend created automatically. Can you share more of your code?

Bryan

On Jun 23, 2016, at 5:30 PM, [email protected] wrote:

Hi Bryan,

I’m using py3 and bokeh 0.12 to create an interactive plot. I can’t configure the legend using either legend.x or legend().x (where x is one of the attributes). For example, I get the following error messages:

print(p.legend.label_text_font)

AttributeError: ‘_list_attr_splat’ object has no attribute ‘label_text_font’

print(p.legend().label_text_font)

TypeError: ‘_list_attr_splat’ object is not callable

print(p.legend[0].label_text_font)

IndexError: list index out of range

print(p.legends[0].legend.label_text_font)

AttributeError: ‘Figure’ object has no attribute ‘legends’

May you help me with this?

Thank you so much!

Caroline

On Monday, January 18, 2016 at 7:08:24 AM UTC-8, Bryan Van de ven wrote:

Wu,

There may be more than one legend, so the .legends attribute has to return a list of legends. But there is often only one legend, so as a convenience the list returned is “splattable”, i.e. you can set attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:

    fig.xaxis.title = "foo"

Which is nice. But there is no way to make that work when getting attributes (as you are doing). You have to get a particular items from the list, such as

    fig.legends[0].legends

Hope that helps,

Bryan

On Jan 17, 2016, at 4:54 AM, [email protected] wrote:

I can not access the legends attribute of figure

from bokeh.plotting import figure

fig = figure(plot_width=1200, plot_height=800)

fig.legend

gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]

but I can not get the legend content

fig.legend.legends

gives error: *** AttributeError: ‘_list_attr_splat’ object has no attribute ‘legends’

from the source code I can see, bokeh.models.annotations.Legend has legends attribute

You received this message because you are subscribed to the Google Groups “Bokeh Discussion - Public” group.

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Hi Bryan,

···

Problem solved! Thank you so much!

Caroline

On 24 Jun 2016, at 10:08, Bryan Van de Ven [email protected] wrote:

The legend doesn’t exist until the first glyph call that has the legend kwatg. It looks like you just need to move the p.legend lines below that.

Bryan

On Jun 24, 2016, at 11:12, Caroline Wang [email protected] wrote:

Hi Bryan,

Thank you for the quick reply.

I did pass ‘legend’ keyword to each glyph I use. And I have a legend display on the plot, but I can’t modify the default settings of the legend.

My code structure is like:

# create a plot
p = Figure(plot_height=700, y_range=Range1d(0, 86400))
# configure outline
p.outline_line_color = 'grey'
p.outline_line_alpha = 0.75
# configure x axis
p.x_range = FactorRange()
p.xaxis[0].formatter = DatetimeTickFormatter(formats=dict(
    hours=["%Y-%m-%d"],
    days=["%Y-%m-%d"],
    months=["%Y-%m-%d"],
    years=["%Y-%m-%d"],
))
p.legend.location = 'bottom_left'
p.legend.background_fill_alpha = 0.3
p.legend.label_width = 100
p.legend.label_text_font = 'courier'
p.legend.border_line_color = 'white'
p.legend.border_line_alpha = 0.5
source = ColumnDataSource(data=dict(x=[], y=[], fill_color=[], drug_name=[], value=[]))
r = p.circle(x='x', y='y', source=source, fill_color='fill_color', line_color='pink', legend='Medication', size=20, alpha=0.75)
def update(attr, new, old):
source.data = dict(...)
some input widgets

curdoc().add_root(HBox(inputs, p))

Thank you so much!

Caroline

On Thu, Jun 23, 2016 at 3:38 PM, Bryan Van de Ven [email protected] wrote:

Since there may be more than one legend, the “.legends” property returns a special kind of list subclass that automatically “broadcasts” all attributes set on it, to all the contents. What it looks like is that you don’t have any legends present, i.e that special broadcasting list is empty. In fact that definitely seems to be the case, given the “IndexError: list index out of range” shown below. Normally to get legends you have to pass a “legend” keyword argument to the glyph functions like p.circle() etc.:

    [http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends](http://bokeh.pydata.org/en/latest/docs/user_guide/plotting.html#legends)

Or alternatively, have added a Legend manually with .add_layout() on the plot. Otherwise, there is no legend created automatically. Can you share more of your code?

Bryan

On Jun 23, 2016, at 5:30 PM, [email protected] wrote:

Hi Bryan,

I’m using py3 and bokeh 0.12 to create an interactive plot. I can’t configure the legend using either legend.x or legend().x (where x is one of the attributes). For example, I get the following error messages:

print(p.legend.label_text_font)

AttributeError: ‘_list_attr_splat’ object has no attribute ‘label_text_font’

print(p.legend().label_text_font)

TypeError: ‘_list_attr_splat’ object is not callable

print(p.legend[0].label_text_font)

IndexError: list index out of range

print(p.legends[0].legend.label_text_font)

AttributeError: ‘Figure’ object has no attribute ‘legends’

May you help me with this?

Thank you so much!

Caroline

On Monday, January 18, 2016 at 7:08:24 AM UTC-8, Bryan Van de ven wrote:

Wu,

There may be more than one legend, so the .legends attribute has to return a list of legends. But there is often only one legend, so as a convenience the list returned is “splattable”, i.e. you can set attributes on it, and that attribute will be set on all the items in the list at once (i.e., all the legends, or axes). This is why you can do:

    fig.xaxis.title = "foo"

Which is nice. But there is no way to make that work when getting attributes (as you are doing). You have to get a particular items from the list, such as

    fig.legends[0].legends

Hope that helps,

Bryan

On Jan 17, 2016, at 4:54 AM, [email protected] wrote:

I can not access the legends attribute of figure

from bokeh.plotting import figure

fig = figure(plot_width=1200, plot_height=800)

fig.legend

gives [<bokeh.models.annotations.Legend object at 0x7f1d3554eb38>]

but I can not get the legend content

fig.legend.legends

gives error: *** AttributeError: ‘_list_attr_splat’ object has no attribute ‘legends’

from the source code I can see, bokeh.models.annotations.Legend has legends attribute

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].

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