Bokeh中散点图的自定义功能不运行

Question

数据集我正在研究： https：///www.kaggle.com/code/code/ Gauravsahani/london-for-Beginner/Data

我正在使用散景，并制作了以下散点图，

source=ColumnDataSource(data=dict(df,av=df.average_price,cr=df.no_of_crimes,ar=df.area))

p=figure(sizing_mode='stretch_width',toolbar_location=None,height=500,
        x_axis_label='Average Salary',y_axis_label='crime rate')
p.xaxis.formatter = BasicTickFormatter(use_scientific=False)

p.add_layout(Legend(), 'right')

p.scatter(x='av',y='cr',source=source,size=9,alpha=0.4,legend_field='area',fill_color=factor_cmap('area',palette=magma(34),factors=df.area.unique()))
p.xgrid.grid_line_color=None

p.legend.label_text_font_size='12px'
p.legend.padding=4
p.legend.orientation='vertical'
p.legend.spacing=-7

p.add_tools(HoverTool(tooltips=[('Area','@ar')]))

show(p)

我正在尝试产生一种自定义功能以进行可重复使用，这是以下内容：

source=ColumnDataSource(data=dict(df,av=df.average_price,
                                  cr=df.no_of_crimes,
                                  ar=df.area))
tooltips=[('Area','@ar')]
          
def scatter(source,x,y,xlabel=None,ylabel=None,size=None,alpha=None,legend_field=None,fill_color=None):
    p=figure(sizing_mode='stretch_width',
                   toolbar_location=None,
                   height=500,
                   x_axis_label=xlabel,
                   y_axis_label=ylabel)
          
    p.xgrid.grid_line_color=None
    p.xaxis.formatter = BasicTickFormatter(use_scientific=False)
    p.legend.label_text_font_size='12px'
    p.legend.padding=4
    p.legend.orientation='vertical'
    p.legend.spacing=-7
          
    p.scatter(source=source,x=x,y=y,size=size,alpha=alpha,legend_field=legend_field,fill_color=fill_color)
          
    return p
          
p=scatter(source,x='av',y='cr')
          
show(p)

但是，我不断遇到错误和错误和错误和错误和错误我似乎无法弄清楚为什么我的x和y列都是数值值，并且在不使用函数时已经成功。错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [234], in <cell line: 24>()
     20     p.scatter(source=source,x=x,y=y,size=size,alpha=alpha,legend_field=legend_field,fill_color=fill_color)
     22     return p
---> 24 p=scatter(source,x='av',y='cr')
     26 show(p)

Input In [234], in scatter(source, x, y, xlabel, ylabel, size, alpha, legend_field, fill_color)
     17 p.legend.orientation='vertical'
     18 p.legend.spacing=-7
---> 20 p.scatter(source=source,x=x,y=y,size=size,alpha=alpha,legend_field=legend_field,fill_color=fill_color)
     22 return p

File ~\Anaconda3\lib\site-packages\bokeh\plotting\glyph_api.py:962, in GlyphAPI.scatter(self, *args, **kwargs)
    960     return self.circle(*args, **kwargs)
    961 else:
--> 962     return self._scatter(*args, marker=marker_type, **kwargs)

File ~\Anaconda3\lib\site-packages\bokeh\plotting\_decorators.py:86, in glyph_method.<locals>.decorator.<locals>.wrapped(self, *args, **kwargs)
     84 if self.coordinates is not None:
     85     kwargs.setdefault("coordinates", self.coordinates)
---> 86 return create_renderer(glyphclass, self.plot, **kwargs)

File ~\Anaconda3\lib\site-packages\bokeh\plotting\_renderer.py:116, in create_renderer(glyphclass, plot, **kwargs)
    113 # handle the mute glyph, we always set one
    114 muted_visuals = pop_visuals(glyphclass, kwargs, prefix='muted_', defaults=glyph_visuals, override_defaults={'alpha':0.2})
--> 116 glyph = make_glyph(glyphclass, kwargs, glyph_visuals)
    117 nonselection_glyph = make_glyph(glyphclass, kwargs, nonselection_visuals)
    118 selection_glyph = make_glyph(glyphclass, kwargs, selection_visuals)

File ~\Anaconda3\lib\site-packages\bokeh\plotting\_renderer.py:145, in make_glyph(glyphclass, kws, extra)
    143 kws = kws.copy()
    144 kws.update(extra)
--> 145 return glyphclass(**kws)

File ~\Anaconda3\lib\site-packages\bokeh\model\model.py:128, in Model.__init__(self, **kwargs)
    121 def __init__(self, **kwargs: Any) -> None:
    122 
    123     # "id" is popped from **kw in __new__, so in an ideal world I don't
    124     # think it should be here too. But Python has subtle behavior here, so
    125     # it is necessary
    126     kwargs.pop("id", None)
--> 128     super().__init__(**kwargs)
    129     default_theme.apply_to_model(self)

File ~\Anaconda3\lib\site-packages\bokeh\core\has_props.py:206, in HasProps.__init__(self, **properties)
    203 self._unstable_themed_values = {}
    205 for name, value in properties.items():
--> 206     setattr(self, name, value)
    208 self._initialized = True

File ~\Anaconda3\lib\site-packages\bokeh\core\has_props.py:230, in HasProps.__setattr__(self, name, value)
    228 properties = self.properties(_with_props=True)
    229 if name in properties:
--> 230     return super().__setattr__(name, value)
    232 descriptor = getattr(self.__class__, name, None)
    233 if isinstance(descriptor, property): # Python property

File ~\Anaconda3\lib\site-packages\bokeh\core\property\descriptors.py:283, in PropertyDescriptor.__set__(self, obj, value, setter)
    280     class_name = obj.__class__.__name__
    281     raise RuntimeError(f"{class_name}.{self.name} is a readonly property")
--> 283 value = self.property.prepare_value(obj, self.name, value)
    284 old = self._get(obj)
    285 self._set(obj, old, value, setter=setter)

File ~\Anaconda3\lib\site-packages\bokeh\core\property\dataspec.py:515, in SizeSpec.prepare_value(self, cls, name, value)
    513 except TypeError:
    514     pass
--> 515 return super().prepare_value(cls, name, value)

File ~\Anaconda3\lib\site-packages\bokeh\core\property\bases.py:365, in Property.prepare_value(self, owner, name, value, hint)
    363 else:
    364     obj_repr = owner if isinstance(owner, HasProps) else owner.__name__
--> 365     raise ValueError(f"failed to validate {obj_repr}.{name}: {error}")
    367 if isinstance(owner, HasProps):
    368     obj = owner

ValueError: failed to validate Scatter(id='40569', ...).size: expected an element of either String, Dict(Enum('expr', 'field', 'value', 'transform'), Either(String, Instance(Transform), Instance(Expression), Float)) or Float, got None

任何帮助都很棒

Answer 1

def scatter(source,x,y,xlabel=None,ylabel=None,size=5,alpha=1,legend_field=str(None),fill_color=None):

    p=figure(sizing_mode='stretch_width',
    toolbar_location=None,
    height=500,
    x_axis_label=xlabel,
    y_axis_label=ylabel)  

    p.xgrid.grid_line_color=None
    p.xaxis.formatter = BasicTickFormatter(use_scientific=False)
    p.legend.label_text_font_size='12px'
    p.legend.padding=4
    p.legend.orientation='vertical'
    p.legend.spacing=-7

    if legend_field == str(None):
        p.scatter(source=source,x=x,y=y,size=size,alpha=alpha,fill_color=fill_color)
    else:
        p.scatter(source=source,x=x,y=y,size=size,alpha=alpha,legend_field=legend_field,fill_color=fill_color)

    return p