Teradata Package for Python Function Reference | 20.00 - array_insert - 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 - 20.00

Deployment
VantageCloud
VantageCore
Edition
VMware
Enterprise
IntelliFlex
Product
Teradata Package for Python
Release Number
20.00.00.11
Published
August 2026
ft:locale
en-US
ft:lastEdition
2026-08-13
dita:id
TeradataPython_FxRef_Enterprise_2000
Product Category
Teradata Vantage
teradataml.dataframe.sql.DataFrameColumn.array_insert = array_insert(self, index, element)
DESCRIPTION:
    Insert an element at the specified index in the array.
 
PARAMETERS:
    index:
        Required Argument.
        Specifies the index (1-based) where to insert the element.
        Types: int OR ColumnExpression
        
    element:
        Required Argument.
        Specifies the element to insert.
        Types: ColumnExpression OR Python literal
 
RETURNS:
    ColumnExpression
 
EXAMPLES:
    >>> from teradataml import *
    >>> load_example_data("array", "array_table")
 
    # Create a DataFrame on 'array_table'.
    >>> df = DataFrame("array_table")
    >>> df
                     arr1                   arr2                        arr3
    id                                                                      
    1    (10,20,30,40,50)     (23,200,215,40,21)  ('ab','bc','cd','ab','ef')
    4   (180,28,38,48,58)  (30,NULL,NULL,250,27)  ('mn','no',NULL,'op','pq')
    2   (150,25,35,45,55)       (28,50,95,90,26)  ('xy','yz','za','ab','xy')
    6   (16,261,36,46,56)     (29,170,160,46,25)  ('uv','xy','ab','xy','yz')
    3   (12,22,320,42,52)     (25,22,140,200,23)  ('pq','ab','ab','st','tu')
    5    (14,24,34,44,54)  (26,NULL,NULL,180,24)  ('ij','jk',NULL,'kl','lm')
 
    # Example 1: Insert element 'txt' at index 3 in array column 'arr3'.
    >>> res = df.assign(modified_arr = df.arr3.array_insert(index=3, element="txt"))
    >>> res
                     arr1                   arr2                        arr3                      modified_arr
    id                                                                                                        
    3   (12,22,320,42,52)     (25,22,140,200,23)  ('pq','ab','ab','st','tu')  ('pq','ab','txt','ab','st','tu')
    1    (10,20,30,40,50)     (23,200,215,40,21)  ('ab','bc','cd','ab','ef')  ('ab','bc','txt','cd','ab','ef')
    2   (150,25,35,45,55)       (28,50,95,90,26)  ('xy','yz','za','ab','xy')  ('xy','yz','txt','za','ab','xy')
    5    (14,24,34,44,54)  (26,NULL,NULL,180,24)  ('ij','jk',NULL,'kl','lm')  ('ij','jk','txt',NULL,'kl','lm')
    6   (16,261,36,46,56)     (29,170,160,46,25)  ('uv','xy','ab','xy','yz')  ('uv','xy','txt','ab','xy','yz')
    4   (180,28,38,48,58)  (30,NULL,NULL,250,27)  ('mn','no',NULL,'op','pq')  ('mn','no','txt',NULL,'op','pq')
 
    # Example 2: Insert element from column 'id' at index specified in column 'idx' in array column 'arr3'.
    >>> tdf = df.assign(idx=4)
    >>> res = tdf.assign(modified_arr = tdf.arr2.array_insert(tdf.idx, tdf.id))
    >>> res
                     arr1                   arr2                        arr3  idx             modified_arr
    id                                                                                                    
    2   (150,25,35,45,55)       (28,50,95,90,26)  ('xy','yz','za','ab','xy')    4       (28,50,95,2,90,26)
    3   (12,22,320,42,52)     (25,22,140,200,23)  ('pq','ab','ab','st','tu')    4     (25,22,140,3,200,23)
    6   (16,261,36,46,56)     (29,170,160,46,25)  ('uv','xy','ab','xy','yz')    4     (29,170,160,6,46,25)
    4   (180,28,38,48,58)  (30,NULL,NULL,250,27)  ('mn','no',NULL,'op','pq')    4  (30,NULL,NULL,4,250,27)
    1    (10,20,30,40,50)     (23,200,215,40,21)  ('ab','bc','cd','ab','ef')    4     (23,200,215,1,40,21)
    5    (14,24,34,44,54)  (26,NULL,NULL,180,24)  ('ij','jk',NULL,'kl','lm')    4  (26,NULL,NULL,5,180,24)
 
    # Example 3: Insert element at index 10 greater than array size in array column 'arr1'.
    >>> res = df.assign(modified_arr = df.arr1.array_insert(index=10, element=999))
    >>> res
                     arr1                   arr2                        arr3                               modified_arr
    id                                                                                                                 
    5    (14,24,34,44,54)  (26,NULL,NULL,180,24)  ('ij','jk',NULL,'kl','lm')   (14,24,34,44,54,NULL,NULL,NULL,NULL,999)
    2   (150,25,35,45,55)       (28,50,95,90,26)  ('xy','yz','za','ab','xy')  (150,25,35,45,55,NULL,NULL,NULL,NULL,999)
    6   (16,261,36,46,56)     (29,170,160,46,25)  ('uv','xy','ab','xy','yz')  (16,261,36,46,56,NULL,NULL,NULL,NULL,999)
    1    (10,20,30,40,50)     (23,200,215,40,21)  ('ab','bc','cd','ab','ef')   (10,20,30,40,50,NULL,NULL,NULL,NULL,999)
    3   (12,22,320,42,52)     (25,22,140,200,23)  ('pq','ab','ab','st','tu')  (12,22,320,42,52,NULL,NULL,NULL,NULL,999)
    4   (180,28,38,48,58)  (30,NULL,NULL,250,27)  ('mn','no',NULL,'op','pq')  (180,28,38,48,58,NULL,NULL,NULL,NULL,999)