dowhy/causal_refuters/add_unobserved_common_cause.py [253:270]:
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                    new_estimator = CausalEstimator.get_estimator_object(new_data, self._target_estimand, self._estimate)
                    new_effect = new_estimator.estimate_effect()
                    refute = CausalRefutation(self._estimate.value, new_effect.value,
                                            refutation_type="Refute: Add an Unobserved Common Cause")
                    self.logger.debug(refute)
                    outcomes[i] = refute.new_effect # Populate the results

                refute.new_effect_array = outcomes
                refute.new_effect = (np.min(outcomes), np.max(outcomes))
                refute.add_refuter(self)
                if self.plotmethod is None:
                    return refute

                import matplotlib
                import matplotlib.pyplot as plt
                fig = plt.figure(figsize=(6,5))
                left, bottom, width, height = 0.1, 0.1, 0.8, 0.8
                ax = fig.add_axes([left, bottom, width, height])
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dowhy/causal_refuters/add_unobserved_common_cause.py [287:304]:
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                    new_estimator = CausalEstimator.get_estimator_object(new_data, self._target_estimand, self._estimate)
                    new_effect = new_estimator.estimate_effect()
                    refute = CausalRefutation(self._estimate.value, new_effect.value,
                                            refutation_type="Refute: Add an Unobserved Common Cause")
                    self.logger.debug(refute)
                    outcomes[i] = refute.new_effect # Populate the results

                refute.new_effect_array = outcomes
                refute.new_effect = (np.min(outcomes), np.max(outcomes))
                refute.add_refuter(self)
                if self.plotmethod is None:
                    return refute

                import matplotlib
                import matplotlib.pyplot as plt
                fig = plt.figure(figsize=(6,5))
                left, bottom, width, height = 0.1, 0.1, 0.8, 0.8
                ax = fig.add_axes([left, bottom, width, height])
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