modin.pandas.to_snowflake¶

modin.pandas.to_snowflake(obj: Union[DataFrame, Series], name: Union[str, Iterable[str]], if_exists: Optional[Literal['fail', 'replace', 'append']] = 'fail', index: bool = True, index_label: Optional[Union[Hashable, Sequence[Hashable]]] = None, table_type: Literal['', 'temp', 'temporary', 'transient'] = '') → None[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.30.0/snowpark-python/src/snowflake/snowpark/modin/plugin/extensions/pd_extensions.py#L399-L439)¶

Save the Snowpark pandas DataFrame or Series as a Snowflake table.

Parameters:

obj – Either a Snowpark pandas DataFrame or Series
name – Name of the SQL table or fully-qualified object identifier
if_exists –
How to behave if table already exists. default ‘fail’
- fail: Raise ValueError.
- replace: Drop the table before inserting new values.
- append: Insert new values to the existing table. The order of insertion is not guaranteed.
index – default True If true, save DataFrame index columns as table columns.
index_label – Column label for index column(s). If None is given (default) and index is True, then the index names are used. A sequence should be given if the DataFrame uses MultiIndex.
table_type – The table type of table to be created. The supported values are: temp, temporary, and transient. An empty string means to create a permanent table. Learn more about table types here.