Teradata Package for Python Function Reference | 20.00 - in_schema - 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
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
March 2024
Language
English (United States)
Last Update
2024-04-10
dita:id
TeradataPython_FxRef_Enterprise_2000
Product Category
Teradata Vantage
teradataml.common.utils.UtilFuncs._in_schema = _in_schema(schema_name, table_name)
Function takes a schema name and a table name and creates a database
object name in the format "schema"."table_name".
Note:
    teradataml recommends to use this function to access table(s)/view(s),
    from the database other than the default database.
 
PARAMETERS:
    schema_name:
        Required Argument
        Specifies the schema where the table resides in.
        Types: str
 
    table_name:
        Required Argument
        Specifies the table name or view name in Vantage.
        Types: str
 
EXAMPLES:
    from teradataml.dataframe.dataframe import in_schema, DataFrame
 
    # Example 1: The following example creates a DataFrame from the
    #            existing Vantage table "dbcinfo" in the non-default
    #            database "dbc" using the in_schema() function.
    df = DataFrame(in_schema("dbc", "dbcinfo"))
 
    # Example 2: The following example uses from_table() function, existing
    #            Vantage table "dbcinfo" and non-default database "dbc" to
    #            create a teradataml DataFrame.
    df = DataFrame.from_table(in_schema("dbc","dbcinfo"))