Use the alias() function to return a column with an aliased name.
Required Parameter
- name
- Specifies the column name.
Example setup
>>> load_example_data("dataframe","admissions_train")
>>> df = DataFrame('admissions_train')
>>> df
masters gpa stats programming admitted id 15 yes 4.00 Advanced Advanced 1 7 yes 2.33 Novice Novice 1 22 yes 3.46 Novice Beginner 0 17 no 3.83 Advanced Advanced 1 13 no 4.00 Advanced Novice 1 38 yes 2.65 Advanced Beginner 1 26 yes 3.57 Advanced Advanced 1 5 no 3.44 Novice Novice 0 34 yes 3.85 Advanced Beginner 0 40 yes 3.95 Novice Beginner 0
Example: Alias the resultant column after aggregation with "count_program"
>>> df.agg(df.programming.count().alias("count_program"))
count_program 0 40