diff --git a/superset/datasets/commands/create.py b/superset/datasets/commands/create.py
index 6349aa6bdbf74..71b283436055a 100644
--- a/superset/datasets/commands/create.py
+++ b/superset/datasets/commands/create.py
@@ -22,7 +22,6 @@
 from sqlalchemy.exc import SQLAlchemyError
 
 from superset.commands.base import BaseCommand, CreateMixin
-from superset.connectors.sqla.models import SqlMetric
 from superset.daos.dataset import DatasetDAO
 from superset.daos.exceptions import DAOCreateFailedError
 from superset.datasets.commands.exceptions import (
@@ -47,9 +46,7 @@ def run(self) -> Model:
             # Creates SqlaTable (Dataset)
             dataset = DatasetDAO.create(self._properties, commit=False)
 
-            # Updates columns and metrics from the dataset
-            dataset.metrics = [SqlMetric(metric_name="COUNT(*)", expression="COUNT(*)")]
-
+            # Updates columns and metrics from the datase
             dataset.fetch_metadata(commit=False)
             db.session.commit()
         except (SQLAlchemyError, DAOCreateFailedError) as ex:
diff --git a/superset/utils/pandas_postprocessing/prophet.py b/superset/utils/pandas_postprocessing/prophet.py
index a23f7838bf838..47d956fed5d8b 100644
--- a/superset/utils/pandas_postprocessing/prophet.py
+++ b/superset/utils/pandas_postprocessing/prophet.py
@@ -52,7 +52,7 @@ def _prophet_fit_and_predict(  # pylint: disable=too-many-arguments
     Fit a prophet model and return a DataFrame with predicted results.
     """
     try:
-        # pylint: disable=import-error,import-outside-toplevel
+        # pylint: disable=import-outside-toplevel
         from prophet import Prophet
 
         prophet_logger = logging.getLogger("prophet.plot")