d = {"Fruits" : ["Apples","Bananas","Pears","Oranges","Melons"],
"Ripe" : [10000,18000,19000,36000,50000],
"Rotten" : [3000,8000,7000,10000,20000]
}
df = pd.DataFrame(d)
df["Difference"]= df["Ripe"] - df["Rotten"]
df
I am working on this small dataframe and cant seem to apply custom colors on the function i created to generate vbars
source=ColumnDataSource(data=dict(fr=df.Fruits,
ri=df.Ripe,
ro=df.Rotten,
di=df.Difference))
tooltips=[('Total','@ri')]
reds=['#f14331',
'#f14432',
'#f24633',
'#f24734',
'#f34935']
def vbar(source,x_range,x,top,color=reds):
p=figure(toolbar_location=None,height=300,x_range=x_range,sizing_mode='stretch_width')
p.xgrid.grid_line_color=None
p.y_range.start=0
p.vbar(x=x,top=top,source=source,width=0.8,color=color)
p.add_tools(HoverTool(tooltips=tooltips))
return p
p=vbar(source,x_range=df.Fruits,x='fr',top='ri')
show(p)
in the function parameter when i pass in a color such as'blue' it runs totally fine. but when i pass in a list of colors i.e reds, it throws an error:
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
Input In [151], in <cell line: 24>()
20 p.add_tools(HoverTool(tooltips=tooltips))
22 return p
---> 24 p=vbar(source,x_range=df.Fruits,x='fr',top='ri')
25 show(p)
Input In [151], in vbar(source, x_range, x, top, color)
15 p.xgrid.grid_line_color=None
16 p.y_range.start=0
---> 18 p.vbar(x=x,top=top,source=source,width=0.8,color=color)
20 p.add_tools(HoverTool(tooltips=tooltips))
22 return p
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:96, in create_renderer(glyphclass, plot, **kwargs)
94 incompatible_literal_spec_values += _process_sequence_literals(glyphclass, glyph_visuals, source, is_user_source)
95 if incompatible_literal_spec_values:
---> 96 raise RuntimeError(_GLYPH_SOURCE_MSG % nice_join(incompatible_literal_spec_values, conjuction="and"))
98 # handle the nonselection glyph, we always set one
99 nonselection_visuals = pop_visuals(glyphclass, kwargs, prefix='nonselection_', defaults=glyph_visuals, override_defaults={'alpha':0.1})
RuntimeError:
Expected line_color, fill_color and hatch_color to reference fields in the supplied data source.
When a 'source' argument is passed to a glyph method, values that are sequences
(like lists or arrays) must come from references to data columns in the source.
For instance, as an example:
source = ColumnDataSource(data=dict(x=a_list, y=an_array))
p.circle(x='x', y='y', source=source, ...) # pass column names and a source
Alternatively, *all* data sequences may be provided as literals as long as a
source is *not* provided:
p.circle(x=a_list, y=an_array, ...) # pass actual sequences and no source
i have also tried color='reds' with quotation marks
which gives a blank graph and spits out:
ERROR:bokeh.core.validation.check:E-1001 (BAD_COLUMN_NAME): Glyph refers to nonexistent column name. This could either be due to a misspelling or typo, or due to an expected column being missing. : key "fill_color" value "reds", key "hatch_color" value "reds", key "line_color" value "reds" [renderer: GlyphRenderer(id='22999', ...)]
any advice on how i can get my graph to run with my custom colors?
