diff --git a/pandas_gbq/gbq.py b/pandas_gbq/gbq.py
index 382f276b..2bc13ed7 100644
--- a/pandas_gbq/gbq.py
+++ b/pandas_gbq/gbq.py
@@ -337,10 +337,6 @@ def get_user_account_credentials(self):
         This method authenticates using user credentials, either loading saved
         credentials from a file or by going through the OAuth flow.
 
-        Parameters
-        ----------
-        None
-
         Returns
         -------
         GoogleCredentials : credentials
@@ -567,7 +563,7 @@ def load_data(
         try:
             for remaining_rows in _load.load_chunks(
                     self.client, dataframe, dataset_id, table_id,
-                    chunksize=chunksize):
+                    chunksize=chunksize, schema=schema):
                 self._print("\rLoad is {0}% Complete".format(
                     ((total_rows - remaining_rows) * 100) / total_rows))
         except self.http_error as ex:
@@ -699,8 +695,9 @@ def delete_and_recreate_table(self, dataset_id, table_id, table_schema):
         table = _Table(self.project_id, dataset_id,
                        private_key=self.private_key)
         table.delete(table_id)
-        table.create(table_id, table_schema)
-        sleep(delay)
+        if not table.is_date_partitioned(table_id):
+            table.create(table_id, table_schema)
+            sleep(delay)
 
 
 def _get_credentials_file():
@@ -1007,6 +1004,11 @@ def _generate_bq_schema(df, default_type='STRING'):
 
 class _Table(GbqConnector):
 
+    partition_decorator = '$'
+
+    def is_date_partitioned(self, table_id):
+        return self.partition_decorator in table_id
+
     def __init__(self, project_id, dataset_id, reauth=False, verbose=False,
                  private_key=None):
         self.dataset_id = dataset_id
@@ -1017,7 +1019,7 @@ def exists(self, table_id):
 
         Parameters
         ----------
-        table : str
+        table_id : str
             Name of table to be verified
 
         Returns
@@ -1028,24 +1030,30 @@ def exists(self, table_id):
         from google.api_core.exceptions import NotFound
 
         table_ref = self.client.dataset(self.dataset_id).table(table_id)
+
         try:
-            self.client.get_table(table_ref)
+            table = self.client.get_table(table_ref)
+            if self.is_date_partitioned(table_id):
+                return table.num_rows > 0
+
             return True
         except NotFound:
             return False
         except self.http_error as ex:
             self.process_http_error(ex)
 
-    def create(self, table_id, schema):
+    def create(self, table_id, schema, date_partitioned=False):
         """ Create a table in Google BigQuery given a table and schema
 
         Parameters
         ----------
-        table : str
+        table_id : str
             Name of table to be written
         schema : str
             Use the generate_bq_schema to generate your table schema from a
             dataframe.
+        date_partitioned: boolean
+            Whether table is to be created as a date partitioned table.
         """
         from google.cloud.bigquery import SchemaField
         from google.cloud.bigquery import Table
@@ -1062,6 +1070,9 @@ def create(self, table_id, schema):
         table_ref = self.client.dataset(self.dataset_id).table(table_id)
         table = Table(table_ref)
 
+        if date_partitioned or self.is_date_partitioned(table_id):
+            table.partitioning_type = 'DAY'
+
         # Manually create the schema objects, adding NULLABLE mode
         # as a workaround for
         # https://github.com/GoogleCloudPlatform/google-cloud-python/issues/4456
@@ -1084,7 +1095,7 @@ def delete(self, table_id):
 
         Parameters
         ----------
-        table : str
+        table_id : str
             Name of table to be deleted
         """
         from google.api_core.exceptions import NotFound
@@ -1163,7 +1174,7 @@ def create(self, dataset_id):
 
         Parameters
         ----------
-        dataset : str
+        dataset_id : str
             Name of dataset to be written
         """
         from google.cloud.bigquery import Dataset
@@ -1184,7 +1195,7 @@ def delete(self, dataset_id):
 
         Parameters
         ----------
-        dataset : str
+        dataset_id : str
             Name of dataset to be deleted
         """
         from google.api_core.exceptions import NotFound
@@ -1207,7 +1218,7 @@ def tables(self, dataset_id):
 
         Parameters
         ----------
-        dataset : str
+        dataset_id : str
             Name of dataset to list tables for
 
         Returns