docs: add code snippet for storing dataframes to a CSV file

Author: sycai

samples/snippets/conftest.py

@@ -12,11 +12,12 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import Iterator
+from typing import Iterator, Generator
 
 from google.cloud import bigquery
 import pytest
 import test_utils.prefixer
+from google.cloud import storage
 
 import bigframes.pandas as bpd
 
@@ -42,11 +43,27 @@ def bigquery_client() -> bigquery.Client:
     return bigquery_client
 
 
+@pytest.fixture(scope="session")
+def storage_client(project_id) -> storage.Client:
+    return storage.Client(project=project_id)
+
+
 @pytest.fixture(scope="session")
 def project_id(bigquery_client: bigquery.Client) -> str:
     return bigquery_client.project
 
 
+@pytest.fixture(scope="session")
+def gcs_bucket(storage_client) -> Generator[str, None, None]:
+    bucket_name =  "bigframes-gcs-test"
+
+    yield bucket_name
+
+    bucket = storage_client.get_bucket(bucket_name)
+    for blob in bucket.list_blobs():
+        blob.delete()
+
+
 @pytest.fixture(autouse=True)
 def reset_session() -> None:
     """An autouse fixture ensuring each sample runs in a fresh session.
@@ -78,11 +95,6 @@ def dataset_id_eu(bigquery_client: bigquery.Client, project_id: str) -> Iterator
     bigquery_client.delete_dataset(dataset, delete_contents=True, not_found_ok=True)
 
 
-@pytest.fixture(scope="session")
-def gcs_dst_bucket() -> str:
-    return "gs://bigframes_blob_test"
-
-
 @pytest.fixture
 def random_model_id(
     bigquery_client: bigquery.Client, project_id: str, dataset_id: str

samples/snippets/multimodal_test.py

@@ -13,9 +13,9 @@
 # limitations under the License.
 
 
-def test_multimodal_dataframe(gcs_dst_bucket: str) -> None:
+def test_multimodal_dataframe(gcs_bucket: str) -> None:
     # destination folder must be in a GCS bucket that the BQ connection service account (default or user provided) has write access to.
-    dst_bucket = gcs_dst_bucket
+    dst_bucket = f"gs://{gcs_bucket}"
     # [START bigquery_dataframes_multimodal_dataframe_create]
     import bigframes
 

samples/snippets/sessions_and_io_test.py

@@ -12,10 +12,13 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from google.cloud import storage
 
-def test_sessions_and_io(project_id: str, dataset_id: str) -> None:
+
+def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> None:
     YOUR_PROJECT_ID = project_id
     YOUR_LOCATION = "us"
+    YOUR_BUCKET = gcs_bucket
 
     # [START bigquery_dataframes_create_and_use_session_instance]
     import bigframes
@@ -138,6 +141,15 @@ def test_sessions_and_io(project_id: str, dataset_id: str) -> None:
     # [END bigquery_dataframes_read_data_from_csv]
     assert df is not None
 
+    # [START bigquery_dataframes_write_data_to_csv]
+    import bigframes.pandas as bpd
+
+    df = bpd.DataFrame({"my_col": [1, 2, 3]})
+    # Write a dataframe to a CSV file in GCS
+    df.to_csv(f"gs://{YOUR_BUCKET}/myfile*.csv")
+    # [END bigquery_dataframes_write_data_to_csv]
+    assert df is not None
+
     # [START bigquery_dataframes_read_data_from_bigquery_table]
     import bigframes.pandas as bpd