compert/plotting.py [686:709]:
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                }
            )
    df_pred = pd.DataFrame(df_list)
    uncert_cos = []
    uncert_eucl = []
    closest_cond_cos = []
    closest_cond_eucl = []
    for i in range(df_pred.shape[0]):
        uncert_cos_, uncert_eucl_, closest_cond_cos_, closest_cond_eucl_ = (
            compert_api.compute_uncertainty(
                cov=df_pred.iloc[i]['cell_type'],
                pert=df_pred.iloc[i]['condition'],
                dose=df_pred.iloc[i]['dose_val']
            )
        )
        uncert_cos.append(uncert_cos_)
        uncert_eucl.append(uncert_eucl_)
        closest_cond_cos.append(closest_cond_cos_)
        closest_cond_eucl.append(closest_cond_eucl_)

    df_pred['uncertainty_cosine'] = uncert_cos
    df_pred['uncertainty_eucl'] = uncert_eucl
    df_pred['closest_cond_cos'] = closest_cond_cos
    df_pred['closest_cond_eucl'] = closest_cond_eucl
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compert/plotting.py [831:854]:
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            }
        )
    df_pred = pd.DataFrame(df_list)
    uncert_cos = []
    uncert_eucl = []
    closest_cond_cos = []
    closest_cond_eucl = []
    for i in range(df_pred.shape[0]):
        uncert_cos_, uncert_eucl_, closest_cond_cos_, closest_cond_eucl_ = (
            compert_api.compute_uncertainty(
                cov=df_pred.iloc[i]['cell_type'],
                pert=df_pred.iloc[i]['condition'],
                dose=df_pred.iloc[i]['dose_val']
            )
        )
        uncert_cos.append(uncert_cos_)
        uncert_eucl.append(uncert_eucl_)
        closest_cond_cos.append(closest_cond_cos_)
        closest_cond_eucl.append(closest_cond_eucl_)

    df_pred['uncertainty_cosine'] = uncert_cos
    df_pred['uncertainty_eucl'] = uncert_eucl
    df_pred['closest_cond_cos'] = closest_cond_cos
    df_pred['closest_cond_eucl'] = closest_cond_eucl
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