snowflake.snowpark.DataFrame.filter¶

DataFrame.filter(expr: Union[Column, str]) → DataFrame[source]¶

Filters rows based on the specified conditional expression (similar to WHERE in SQL).

Examples:

>>> df = session.create_dataframe([[1, 2], [3, 4]], schema=["A", "B"])
>>> df_filtered = df.filter((col("A") > 1) & (col("B") < 100))  # Must use parenthesis before and after operator &.

>>> # The following two result in the same SQL query:
>>> df.filter(col("a") > 1).collect()
[Row(A=3, B=4)]
>>> df.filter("a > 1").collect()  # use SQL expression
[Row(A=3, B=4)]

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Parameters:

expr – a Column expression or SQL text.

where() is an alias of filter().