Teradata Package for Python Function Reference on VantageCloud Lake - strip - Teradata Package for Python - Look here for syntax, methods and examples for the functions included in the Teradata Package for Python.

Teradata® Package for Python Function Reference on VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Package for Python
Release Number
20.00.00.03
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-19
dita:id
TeradataPython_FxRef_Lake_2000
Product Category
Teradata Vantage
teradataml.dataframe.sql.DataFrameColumn.strip = strip(self)
       Remove leading and trailing whitespace.
       REFERENCE:
           SQL Functions, Operators, Expressions, and Predicates
           Chapter 26 String Operators and Functions
 
       PARAMETERS:
           None
 
       RETURNS:
           A str Series with leading and trailing whitespace removed
 
       EXAMPLES:
           >>> load_example_data("dataframe", "sales")
           >>> df = DataFrame("sales")
           >>> df
                         Feb    Jan    Mar    Apr    datetime
           accounts
           Orange Inc  210.0    NaN    NaN  250.0  04/01/2017
           Blue Inc     90.0   50.0   95.0  101.0  04/01/2017
           Yellow Inc   90.0    NaN    NaN    NaN  04/01/2017
           Red Inc     200.0  150.0  140.0    NaN  04/01/2017
           Jones LLC   200.0  150.0  140.0  180.0  04/01/2017
           Alpha Co    210.0  200.0  215.0  250.0  04/01/2017
 
           >>> accounts = df['accounts']
 
           # create a column with some whitespace
           >>> wdf = df.assign(drop_columns = True,
                             accounts = accounts,
                             w_spaces = '
' + accounts + '     ')
           >>> wdf
 
                                 w_spaces
           accounts
           Blue Inc      
Blue Inc
 
               
           Orange Inc  
Orange Inc
 
               
           Red Inc        
Red Inc
 
               
           Yellow Inc  
Yellow Inc
 
               
           Jones LLC    
Jones LLC
 
               
           Alpha Co      
Alpha Co
 
               
 
           # Example 1: Strip the leading and trailing whitespace.
           >>> wdf.assign(drop_columns = True,
                        wo_wspaces = wdf.w_spaces.str.strip())
 
              wo_wspaces
           0    Blue Inc
           1  Orange Inc
           2     Red Inc
           3  Yellow Inc
           4   Jones LLC
           5    Alpha Co