Marginal distribution plots without express?

📊 Plotly Python
5

TL;DR You can re-create any figure created with px using go, it takes some effort, though

Some explanation:

As far as I know, figures created by plotly.express can be created by plotly.graph_objects as express uses graph_objects under the hood. You might see express as a more user- friendly version of graph_objects which does grouping with pandas or creating subplots for you.

That said, there is no function which adds marginals because they are just traces arranged in subplots.

To get an idea of what I’m referring to, just take this example:

import plotly.express as px
df = px.data.iris()
fig = px.histogram(df, x="sepal_length", color="species", marginal="box", height=700)
fig.show()

if you convert the figure into a dictionary and print the content, you’ll find the traces which have been created by px for you.

f = fig.to_dict()
print(f['data'])

Output:

[{'alignmentgroup': 'True',
  'bingroup': 'x',
  'hovertemplate': 'species=setosa<br>sepal_length=%{x}<br>count=%{y}<extra></extra>',
  'legendgroup': 'setosa',
  'marker': {'color': '#636efa', 'pattern': {'shape': ''}},
  'name': 'setosa',
  'offsetgroup': 'setosa',
  'orientation': 'v',
  'showlegend': True,
  'x': array([5.1, 4.9, 4.7, 4.6, 5. , 5.4, 4.6, 5. , 4.4, 4.9, 5.4, 4.8, 4.8,
         4.3, 5.8, 5.7, 5.4, 5.1, 5.7, 5.1, 5.4, 5.1, 4.6, 5.1, 4.8, 5. ,
         5. , 5.2, 5.2, 4.7, 4.8, 5.4, 5.2, 5.5, 4.9, 5. , 5.5, 4.9, 4.4,
         5.1, 5. , 4.5, 4.4, 5. , 5.1, 4.8, 5.1, 4.6, 5.3, 5. ]),
  'xaxis': 'x',
  'yaxis': 'y',
  'type': 'histogram'},
 {'alignmentgroup': 'True',
  'hovertemplate': 'species=setosa<br>sepal_length=%{x}<extra></extra>',
  'legendgroup': 'setosa',
  'marker': {'color': '#636efa'},
  'name': 'setosa',
  'notched': True,
  'offsetgroup': 'setosa',
  'showlegend': False,
  'x': array([5.1, 4.9, 4.7, 4.6, 5. , 5.4, 4.6, 5. , 4.4, 4.9, 5.4, 4.8, 4.8,
         4.3, 5.8, 5.7, 5.4, 5.1, 5.7, 5.1, 5.4, 5.1, 4.6, 5.1, 4.8, 5. ,
         5. , 5.2, 5.2, 4.7, 4.8, 5.4, 5.2, 5.5, 4.9, 5. , 5.5, 4.9, 4.4,
         5.1, 5. , 4.5, 4.4, 5. , 5.1, 4.8, 5.1, 4.6, 5.3, 5. ]),
  'xaxis': 'x2',
  'yaxis': 'y2',
  'type': 'box'},
 {'alignmentgroup': 'True',
  'bingroup': 'x',
  'hovertemplate': 'species=versicolor<br>sepal_length=%{x}<br>count=%{y}<extra></extra>',
  'legendgroup': 'versicolor',
  'marker': {'color': '#EF553B', 'pattern': {'shape': ''}},
  'name': 'versicolor',
  'offsetgroup': 'versicolor',
  'orientation': 'v',
  'showlegend': True,
  'x': array([7. , 6.4, 6.9, 5.5, 6.5, 5.7, 6.3, 4.9, 6.6, 5.2, 5. , 5.9, 6. ,
         6.1, 5.6, 6.7, 5.6, 5.8, 6.2, 5.6, 5.9, 6.1, 6.3, 6.1, 6.4, 6.6,
         6.8, 6.7, 6. , 5.7, 5.5, 5.5, 5.8, 6. , 5.4, 6. , 6.7, 6.3, 5.6,
         5.5, 5.5, 6.1, 5.8, 5. , 5.6, 5.7, 5.7, 6.2, 5.1, 5.7]),
  'xaxis': 'x',
  'yaxis': 'y',
  'type': 'histogram'},
 {'alignmentgroup': 'True',
  'hovertemplate': 'species=versicolor<br>sepal_length=%{x}<extra></extra>',
  'legendgroup': 'versicolor',
  'marker': {'color': '#EF553B'},
  'name': 'versicolor',
  'notched': True,
  'offsetgroup': 'versicolor',
  'showlegend': False,
  'x': array([7. , 6.4, 6.9, 5.5, 6.5, 5.7, 6.3, 4.9, 6.6, 5.2, 5. , 5.9, 6. ,
         6.1, 5.6, 6.7, 5.6, 5.8, 6.2, 5.6, 5.9, 6.1, 6.3, 6.1, 6.4, 6.6,
         6.8, 6.7, 6. , 5.7, 5.5, 5.5, 5.8, 6. , 5.4, 6. , 6.7, 6.3, 5.6,
         5.5, 5.5, 6.1, 5.8, 5. , 5.6, 5.7, 5.7, 6.2, 5.1, 5.7]),
  'xaxis': 'x2',
  'yaxis': 'y2',
  'type': 'box'},
 {'alignmentgroup': 'True',
  'bingroup': 'x',
  'hovertemplate': 'species=virginica<br>sepal_length=%{x}<br>count=%{y}<extra></extra>',
  'legendgroup': 'virginica',
  'marker': {'color': '#00cc96', 'pattern': {'shape': ''}},
  'name': 'virginica',
  'offsetgroup': 'virginica',
  'orientation': 'v',
  'showlegend': True,
  'x': array([6.3, 5.8, 7.1, 6.3, 6.5, 7.6, 4.9, 7.3, 6.7, 7.2, 6.5, 6.4, 6.8,
         5.7, 5.8, 6.4, 6.5, 7.7, 7.7, 6. , 6.9, 5.6, 7.7, 6.3, 6.7, 7.2,
         6.2, 6.1, 6.4, 7.2, 7.4, 7.9, 6.4, 6.3, 6.1, 7.7, 6.3, 6.4, 6. ,
         6.9, 6.7, 6.9, 5.8, 6.8, 6.7, 6.7, 6.3, 6.5, 6.2, 5.9]),
  'xaxis': 'x',
  'yaxis': 'y',
  'type': 'histogram'},
 {'alignmentgroup': 'True',
  'hovertemplate': 'species=virginica<br>sepal_length=%{x}<extra></extra>',
  'legendgroup': 'virginica',
  'marker': {'color': '#00cc96'},
  'name': 'virginica',
  'notched': True,
  'offsetgroup': 'virginica',
  'showlegend': False,
  'x': array([6.3, 5.8, 7.1, 6.3, 6.5, 7.6, 4.9, 7.3, 6.7, 7.2, 6.5, 6.4, 6.8,
         5.7, 5.8, 6.4, 6.5, 7.7, 7.7, 6. , 6.9, 5.6, 7.7, 6.3, 6.7, 7.2,
         6.2, 6.1, 6.4, 7.2, 7.4, 7.9, 6.4, 6.3, 6.1, 7.7, 6.3, 6.4, 6. ,
         6.9, 6.7, 6.9, 5.8, 6.8, 6.7, 6.7, 6.3, 6.5, 6.2, 5.9]),
  'xaxis': 'x2',
  'yaxis': 'y2',
  'type': 'box'}]