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Jacob SchaerJacob Schaer
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Added 'Experimental' to Docstrings
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pandas/io/gbq.py

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@@ -351,6 +351,8 @@ def to_gbq(dataframe, destination_table, schema=None, col_order=None,
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if_exists='fail', **kwargs):
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"""Write a DataFrame to a Google BigQuery table.
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THIS IS AN EXPERIMENTAL LIBRARY
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If the table exists, the DataFrame will be appended. If not, a new table
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will be created, in which case the schema will have to be specified. By
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default, rows will be written in the order they appear in the DataFrame,
@@ -472,6 +474,8 @@ def read_gbq(query, project_id=None, destination_table=None, index_col=None,
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col_order=None, **kwargs):
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"""Load data from Google BigQuery.
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THIS IS AN EXPERIMENTAL LIBRARY
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The main method a user calls to load data from Google BigQuery into a
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pandas DataFrame. This is a simple wrapper for Google's bq.py and
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bigquery_client.py, which we use to get the source data. Because of this,

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