snowflake.snowpark.DataFrame.order_by¶
- DataFrame.order_by(*cols: Union[Column, str, Iterable[Union[Column, str]]], ascending: Optional[Union[bool, int, List[Union[bool, int]]]] = None) DataFrame[source]¶
Sorts a DataFrame by the specified expressions (similar to ORDER BY in SQL).
When called with no column arguments, sorts by all columns (ORDER BY ALL).
Examples:
>>> from snowflake.snowpark.functions import col >>> df = session.create_dataframe([[1, 2], [3, 4], [1, 4]], schema=["A", "B"]) >>> df.sort(col("A"), col("B").asc()).show() ------------- |"A" |"B" | ------------- |1 |2 | |1 |4 | |3 |4 | ------------- >>> df.sort(col("a"), ascending=False).show() ------------- |"A" |"B" | ------------- |3 |4 | |1 |2 | |1 |4 | ------------- >>> # The values from the list overwrite the column ordering. >>> df.sort(["a", col("b").desc()], ascending=[1, 1]).show() ------------- |"A" |"B" | ------------- |1 |2 | |1 |4 | |3 |4 | ------------- >>> # Sort by all columns (ORDER BY ALL) - no columns specified >>> df.sort().show() ------------- |"A" |"B" | ------------- |1 |2 | |1 |4 | |3 |4 | ------------- >>> # Sort by all columns (ORDER BY ALL) - no columns specified >>> df.sort([], ascending=False).show() ------------- |"A" |"B" | ------------- |3 |4 | |1 |4 | |1 |2 | -------------
- Parameters:
*cols – Column names as
str,Columnobjects, or a list of columns to sort by. If no columns are provided, the DataFrame is sorted by all columns in the order they appear (equivalent toORDER BY ALLin SQL).ascending –
Sort order specification.
When sorting specific columns: A
bool,int, or list ofbool/intvalues.True(or 1) for ascending,False(or 0) for descending. If a list is provided, its length must match the number of columns.When sorting all columns (no columns specified): Must be a single
boolorint, not a list. Applies the same sort order to all columns.Defaults to
True(ascending) when not specified.
Note
The aliases
order_by()andorderBy()have the same behavior.