daft.DataFrame.select#

DataFrame.select(*columns: Union[daft.expressions.expressions.Expression, str]) → daft.dataframe.dataframe.DataFrame[source]#

Creates a new DataFrame from the provided expressions, similar to a SQL SELECT

Example

>>> # names of columns as strings
>>> df = df.select('x', 'y')
>>>
>>> # names of columns as expressions
>>> df = df.select(col('x'), col('y'))
>>>
>>> # call expressions
>>> df = df.select(col('x') * col('y'))
>>>
>>> # any mix of the above
>>> df = df.select('x', col('y'), col('z') + 1)

Parameters: *columns (Union[str, Expression]) – columns to select from the current DataFrame
Returns: new DataFrame that will select the passed in columns
Return type: DataFrame