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15 | 15 |
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16 | 16 | def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> None:
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17 | 17 | YOUR_PROJECT_ID = project_id
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| 18 | + YOUR_DATASET_ID = dataset_id |
18 | 19 | YOUR_LOCATION = "us"
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19 | 20 | YOUR_BUCKET = gcs_bucket
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20 | 21 |
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@@ -66,7 +67,7 @@ def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> N
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66 | 67 | # [END bigquery_dataframes_set_options_for_global_session]
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67 | 68 |
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68 | 69 | # [START bigquery_dataframes_global_session_is_the_default_session]
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69 |
| - # The following two statements are essentiall the same |
| 70 | + # The following two statements are essentially the same |
70 | 71 | df = bpd.read_gbq("bigquery-public-data.ml_datasets.penguins")
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71 | 72 | df = bpd.get_global_session().read_gbq("bigquery-public-data.ml_datasets.penguins")
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72 | 73 | # [END bigquery_dataframes_global_session_is_the_default_session]
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@@ -168,12 +169,12 @@ def test_sessions_and_io(project_id: str, dataset_id: str, gcs_bucket: str) -> N
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168 | 169 | # [END bigquery_dataframes_read_from_sql_query]
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169 | 170 | assert df is not None
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170 | 171 |
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171 |
| - table_name = "snippets-session-and-io-test" |
| 172 | + YOUR_TABLE_NAME = "snippets-session-and-io-test" |
172 | 173 |
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173 | 174 | # [START bigquery_dataframes_dataframe_to_bigquery_table]
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174 | 175 | import bigframes.pandas as bpd
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175 | 176 |
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176 | 177 | df = bpd.DataFrame({"my_col": [1, 2, 3]})
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177 | 178 |
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178 |
| - df.to_gbq(f"{project_id}.{dataset_id}.{table_name}") |
| 179 | + df.to_gbq(f"{YOUR_PROJECT_ID}.{YOUR_DATASET_ID}.{YOUR_TABLE_NAME}") |
179 | 180 | # [END bigquery_dataframes_dataframe_to_bigquery_table]
|
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