Notebook’s tools for causality

This file defines some helpers for handling causal concepts in notebooks

pyagrum.causal.notebook.getCausalImpact(model, on, doing, knowing=None, values=None)

return a HTML representing of the three values defining a causal impact : formula, value, explanation

• Parameters:
  • model (CausalModel) – the causal model
  • on (str | Set [**str ]) – the impacted variable(s)
  • doing (str | Set [**str ]) – the interventions
  • knowing (str | Set [**str ]) – the observations
  • values (Dict [**str ,**int ] default=None) – value for certain variables
• Return type: HTML

pyagrum.causal.notebook.getCausalModel(cm, size=None)

return a HTML representing the causal model

• Parameters:
  • cm (CausalModel) – the causal model
  • size (int |**str) – the size of the rendered graph
• Returns: the dot representation
• Return type: pydot.Dot

pyagrum.causal.notebook.showCausalImpact(model, on, doing, knowing=None, values=None)

display a HTML representing of the three values defining a causal impact : formula, value, explanation

• Parameters:
  • model (CausalModel) – the causal model
  • on (str | Set [**str ]) – the impacted variable(s)
  • doing (str | Set [**str ]) – the interventions
  • knowing (str | Set [**str ]) – the observations
  • values (Dict [**str ,**int ] default=None) – value for certain variables

pyagrum.causal.notebook.showCausalModel(cm, size=None)

Shows a pydot svg representation of the causal DAG

• Parameters:
  • cm (CausalModel) – the causal model
  • size (int |**str) – the size of the rendered graph