diff --git a/samples/to_dataframe/main_test.py b/samples/to_dataframe/main_test.py
deleted file mode 100644
index bda6d601..00000000
--- a/samples/to_dataframe/main_test.py
+++ /dev/null
@@ -1,144 +0,0 @@
-# Copyright 2019 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import pytest
-
-
-@pytest.fixture
-def clients():
-    # [START bigquerystorage_pandas_tutorial_all]
-    # [START bigquerystorage_pandas_tutorial_create_client]
-    import google.auth
-    from google.cloud import bigquery
-    from google.cloud import bigquery_storage
-
-    # Explicitly create a credentials object. This allows you to use the same
-    # credentials for both the BigQuery and BigQuery Storage clients, avoiding
-    # unnecessary API calls to fetch duplicate authentication tokens.
-    credentials, your_project_id = google.auth.default(
-        scopes=["https://www.googleapis.com/auth/cloud-platform"]
-    )
-
-    # Make clients.
-    bqclient = bigquery.Client(credentials=credentials, project=your_project_id,)
-    bqstorageclient = bigquery_storage.BigQueryReadClient(credentials=credentials)
-    # [END bigquerystorage_pandas_tutorial_create_client]
-    # [END bigquerystorage_pandas_tutorial_all]
-    return bqclient, bqstorageclient
-
-
-def test_table_to_dataframe(capsys, clients):
-    from google.cloud import bigquery
-
-    bqclient, bqstorageclient = clients
-
-    # [START bigquerystorage_pandas_tutorial_all]
-    # [START bigquerystorage_pandas_tutorial_read_table]
-    # Download a table.
-    table = bigquery.TableReference.from_string(
-        "bigquery-public-data.utility_us.country_code_iso"
-    )
-    rows = bqclient.list_rows(
-        table,
-        selected_fields=[
-            bigquery.SchemaField("country_name", "STRING"),
-            bigquery.SchemaField("fips_code", "STRING"),
-        ],
-    )
-    dataframe = rows.to_dataframe(bqstorage_client=bqstorageclient)
-    print(dataframe.head())
-    # [END bigquerystorage_pandas_tutorial_read_table]
-    # [END bigquerystorage_pandas_tutorial_all]
-
-    out, _ = capsys.readouterr()
-    assert "country_name" in out
-
-
-def test_query_to_dataframe(capsys, clients):
-    bqclient, bqstorageclient = clients
-
-    # [START bigquerystorage_pandas_tutorial_all]
-    # [START bigquerystorage_pandas_tutorial_read_query_results]
-    # Download query results.
-    query_string = """
-    SELECT
-    CONCAT(
-        'https://stackoverflow.com/questions/',
-        CAST(id as STRING)) as url,
-    view_count
-    FROM `bigquery-public-data.stackoverflow.posts_questions`
-    WHERE tags like '%google-bigquery%'
-    ORDER BY view_count DESC
-    """
-
-    dataframe = (
-        bqclient.query(query_string)
-        .result()
-        .to_dataframe(bqstorage_client=bqstorageclient)
-    )
-    print(dataframe.head())
-    # [END bigquerystorage_pandas_tutorial_read_query_results]
-    # [END bigquerystorage_pandas_tutorial_all]
-
-    out, _ = capsys.readouterr()
-    assert "stackoverflow" in out
-
-
-def test_session_to_dataframe(capsys, clients):
-    from google.cloud.bigquery_storage import types
-
-    bqclient, bqstorageclient = clients
-    your_project_id = bqclient.project
-
-    # [START bigquerystorage_pandas_tutorial_all]
-    # [START bigquerystorage_pandas_tutorial_read_session]
-    project_id = "bigquery-public-data"
-    dataset_id = "new_york_trees"
-    table_id = "tree_species"
-    table = f"projects/{project_id}/datasets/{dataset_id}/tables/{table_id}"
-
-    # Select columns to read with read options. If no read options are
-    # specified, the whole table is read.
-    read_options = types.ReadSession.TableReadOptions(
-        selected_fields=["species_common_name", "fall_color"]
-    )
-
-    parent = "projects/{}".format(your_project_id)
-
-    requested_session = types.ReadSession(
-        table=table,
-        # This API can also deliver data serialized in Apache Avro format.
-        # This example leverages Apache Arrow.
-        data_format=types.DataFormat.ARROW,
-        read_options=read_options,
-    )
-    read_session = bqstorageclient.create_read_session(
-        parent=parent, read_session=requested_session, max_stream_count=1,
-    )
-
-    # This example reads from only a single stream. Read from multiple streams
-    # to fetch data faster. Note that the session may not contain any streams
-    # if there are no rows to read.
-    stream = read_session.streams[0]
-    reader = bqstorageclient.read_rows(stream.name)
-
-    # Parse all Arrow blocks and create a dataframe. This call requires a
-    # session, because the session contains the schema for the row blocks.
-    dataframe = reader.to_dataframe(read_session)
-    print(dataframe.head())
-    # [END bigquerystorage_pandas_tutorial_read_session]
-    # [END bigquerystorage_pandas_tutorial_all]
-
-    out, _ = capsys.readouterr()
-    assert "species_common_name" in out