Teradata Package for Python Function Reference | 20.00 - from_query - 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.dataframe.dataframe.DataFrame.from_query = from_query(query, index=True, index_label=None, materialize=False) method of builtins.type instance
Class method for creating a DataFrame from a query.
 
PARAMETERS:
    query:
        Required Argument.
        Specifies the Teradata Vantage SQL query referenced by this DataFrame.
        Only "SELECT" queries are supported. Exception will be
        raised, if any other type of query is passed.
        Unsupported queries include:
            1. DDL Queries like CREATE, DROP, ALTER etc.
            2. DML Queries like INSERT, UPDATE, DELETE etc. except SELECT.
            3. SELECT query with ORDER BY clause.
        Types: str
 
    index:
        Optional Argument.
        True if using index column for sorting otherwise False.
        Default Value: True
        Types: bool
 
    index_label:
        Optional Argument.
        Column/s used for sorting.
        Types: str
 
    materialize:
        Optional Argument.
        Whether to materialize DataFrame or not when created.
 
        You should use materialization, when the query  passed to from_query(),
        is expected to produce non-deterministic results, when it is executed multiple
        times. Using this option will help user to have deterministic results in the
        resulting teradataml DataFrame.
        Default Value: False (No materialization)
        Types: bool
 
EXAMPLES:
    from teradataml.dataframe.dataframe import DataFrame
    load_example_data("dataframe","sales")
    df = DataFrame.from_query("select accounts, Jan, Feb from sales")
    df = DataFrame.from_query("select accounts, Jan, Feb from sales", False)
    df = DataFrame.from_query("select * from sales", True, "accounts")
 
RETURNS:
    DataFrame
 
RAISES:
    TeradataMlException - TDMLDF_CREATE_FAIL