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Description
I was trying out the examples from https://plotly.com/python/2D-Histogram/ and wanted to use the density heat map with marginal distribution on x and y but wanted to change the colour map to align with some previous work.
I found when combining the two subsequent examples from the 2D-Histogram page I got an error. If the marginal distribution and color_continuous_scale aren't meant to be used together there should at least be a better error message.
I btw also test other kinds of distributions like box, violin and rug with the same result.
plotly Version: 5.17.0
My code:
import plotly.express as px
df = px.data.tips()
fig = px.density_heatmap(df, x="total_bill", y="tip", nbinsx=20, nbinsy=20, marginal_x="histogram", marginal_y="histogram", color_continuous_scale="Viridis")
fig.show()
Traceback:
ValueError Traceback (most recent call last)
[/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb) Cell 10 line 4
[1](vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a226865705f475055227d/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb#Y130sdnNjb2RlLXJlbW90ZQ%3D%3D?line=0) import plotly.express as px
[2](vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a226865705f475055227d/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb#Y130sdnNjb2RlLXJlbW90ZQ%3D%3D?line=1) df = px.data.tips()
----> [4](vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a226865705f475055227d/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb#Y130sdnNjb2RlLXJlbW90ZQ%3D%3D?line=3) fig = px.density_heatmap(df, x="total_bill", y="tip", nbinsx=20, nbinsy=20, marginal_y="histogram", color_continuous_scale="Viridis")
[5](vscode-notebook-cell://ssh-remote%2B7b22686f73744e616d65223a226865705f475055227d/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/attention_weight_event_viewer.ipynb#Y130sdnNjb2RlLXJlbW90ZQ%3D%3D?line=4) fig.show()
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/express/_chart_types.py:187](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/express/_chart_types.py:187), in density_heatmap(data_frame, x, y, z, facet_row, facet_col, facet_col_wrap, facet_row_spacing, facet_col_spacing, hover_name, hover_data, animation_frame, animation_group, category_orders, labels, orientation, color_continuous_scale, range_color, color_continuous_midpoint, marginal_x, marginal_y, opacity, log_x, log_y, range_x, range_y, histfunc, histnorm, nbinsx, nbinsy, text_auto, title, template, width, height)
145 def density_heatmap(
146 data_frame=None,
147 x=None,
(...)
180 height=None,
181 ) -> go.Figure:
182 """
183 In a density heatmap, rows of `data_frame` are grouped together into
184 colored rectangular tiles to visualize the 2D distribution of an
185 aggregate function `histfunc` (e.g. the count or sum) of the value `z`.
186 """
--> 187 return make_figure(
188 args=locals(),
189 constructor=go.Histogram2d,
190 trace_patch=dict(
191 histfunc=histfunc,
192 histnorm=histnorm,
193 nbinsx=nbinsx,
194 nbinsy=nbinsy,
195 xbingroup="x",
196 ybingroup="y",
197 ),
198 )
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/express/_core.py:2256](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/express/_core.py:2256), in make_figure(args, constructor, trace_patch, layout_patch)
2251 group[var] = 100.0 * group[var] [/](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/) group_sum
2253 patch, fit_results = make_trace_kwargs(
2254 args, trace_spec, group, mapping_labels.copy(), sizeref
2255 )
-> 2256 trace.update(patch)
2257 if fit_results is not None:
2258 trendline_rows.append(mapping_labels.copy())
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5141](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5141), in BasePlotlyType.update(self, dict1, overwrite, **kwargs)
5139 BaseFigure._perform_update(self, kwargs, overwrite=overwrite)
5140 else:
-> 5141 BaseFigure._perform_update(self, dict1, overwrite=overwrite)
5142 BaseFigure._perform_update(self, kwargs, overwrite=overwrite)
5144 return self
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:3921](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:3921), in BaseFigure._perform_update(plotly_obj, update_obj, overwrite)
3915 validator = plotly_obj._get_prop_validator(key)
3917 if isinstance(validator, CompoundValidator) and isinstance(val, dict):
3918
3919 # Update compound objects recursively
3920 # plotly_obj[key].update(val)
-> 3921 BaseFigure._perform_update(plotly_obj[key], val)
3922 elif isinstance(validator, CompoundArrayValidator):
3923 if plotly_obj[key]:
3924 # plotly_obj has an existing non-empty array for key
3925 # In this case we merge val into the existing elements
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:3942](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:3942), in BaseFigure._perform_update(plotly_obj, update_obj, overwrite)
3939 plotly_obj[key] = val
3940 else:
3941 # Assign non-compound value
-> 3942 plotly_obj[key] = val
3944 elif isinstance(plotly_obj, tuple):
3946 if len(update_obj) == 0:
3947 # Nothing to do
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:4876](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:4876), in BasePlotlyType.__setitem__(self, prop, value)
4872 self._set_array_prop(prop, value)
4874 # ### Handle simple property ###
4875 else:
-> 4876 self._set_prop(prop, value)
4877 else:
4878 # Make sure properties dict is initialized
4879 self._init_props()
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5220](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5220), in BasePlotlyType._set_prop(self, prop, val)
5218 return
5219 else:
-> 5220 raise err
5222 # val is None
5223 # -----------
5224 if val is None:
5225 # Check if we should send null update
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5215](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/plotly/basedatatypes.py:5215), in BasePlotlyType._set_prop(self, prop, val)
5212 validator = self._get_validator(prop)
5214 try:
-> 5215 val = validator.validate_coerce(val)
5216 except ValueError as err:
5217 if self._skip_invalid:
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/_plotly_utils/basevalidators.py:1374](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/_plotly_utils/basevalidators.py:1374), in ColorValidator.validate_coerce(self, v, should_raise)
1372 validated_v = self.vc_scalar(v)
1373 if validated_v is None and should_raise:
-> 1374 self.raise_invalid_val(v)
1376 v = validated_v
1378 return v
File [~/miniconda3/envs/icet2/lib/python3.8/site-packages/_plotly_utils/basevalidators.py:287](https://vscode-remote+ssh-002dremote-002b7b22686f73744e616d65223a226865705f475055227d.vscode-resource.vscode-cdn.net/groups/icecube/moust/work/IceCubeEncoderTransformer/notebooks/~/miniconda3/envs/icet2/lib/python3.8/site-packages/_plotly_utils/basevalidators.py:287), in BaseValidator.raise_invalid_val(self, v, inds)
284 for i in inds:
285 name += "[" + str(i) + "]"
--> 287 raise ValueError(
288 """
289 Invalid value of type {typ} received for the '{name}' property of {pname}
290 Received value: {v}
291
292 {valid_clr_desc}""".format(
293 name=name,
294 pname=self.parent_name,
295 typ=type_str(v),
296 v=repr(v),
297 valid_clr_desc=self.description(),
298 )
299 )
ValueError:
Invalid value of type 'builtins.str' received for the 'color' property of histogram.marker
Received value: 'V'
The 'color' property is a color and may be specified as:
- A hex string (e.g. '#ff0000')
- An rgb/rgba string (e.g. 'rgb(255,0,0)')
- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
- A named CSS color:
aliceblue, antiquewhite, aqua, aquamarine, azure,
beige, bisque, black, blanchedalmond, blue,
blueviolet, brown, burlywood, cadetblue,
chartreuse, chocolate, coral, cornflowerblue,
cornsilk, crimson, cyan, darkblue, darkcyan,
darkgoldenrod, darkgray, darkgrey, darkgreen,
darkkhaki, darkmagenta, darkolivegreen, darkorange,
darkorchid, darkred, darksalmon, darkseagreen,
darkslateblue, darkslategray, darkslategrey,
darkturquoise, darkviolet, deeppink, deepskyblue,
dimgray, dimgrey, dodgerblue, firebrick,
floralwhite, forestgreen, fuchsia, gainsboro,
ghostwhite, gold, goldenrod, gray, grey, green,
greenyellow, honeydew, hotpink, indianred, indigo,
ivory, khaki, lavender, lavenderblush, lawngreen,
lemonchiffon, lightblue, lightcoral, lightcyan,
lightgoldenrodyellow, lightgray, lightgrey,
lightgreen, lightpink, lightsalmon, lightseagreen,
lightskyblue, lightslategray, lightslategrey,
lightsteelblue, lightyellow, lime, limegreen,
linen, magenta, maroon, mediumaquamarine,
mediumblue, mediumorchid, mediumpurple,
mediumseagreen, mediumslateblue, mediumspringgreen,
mediumturquoise, mediumvioletred, midnightblue,
mintcream, mistyrose, moccasin, navajowhite, navy,
oldlace, olive, olivedrab, orange, orangered,
orchid, palegoldenrod, palegreen, paleturquoise,
palevioletred, papayawhip, peachpuff, peru, pink,
plum, powderblue, purple, red, rosybrown,
royalblue, rebeccapurple, saddlebrown, salmon,
sandybrown, seagreen, seashell, sienna, silver,
skyblue, slateblue, slategray, slategrey, snow,
springgreen, steelblue, tan, teal, thistle, tomato,
turquoise, violet, wheat, white, whitesmoke,
yellow, yellowgreen
- A number that will be interpreted as a color
according to histogram.marker.colorscale
- A list or array of any of the above