Teradata Package for Python Function Reference | 20.00 - mode - 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
- 20.00.00.03
- Published
- December 2024
- ft:locale
- en-US
- ft:lastEdition
- 2024-12-19
- dita:id
- TeradataPython_FxRef_Enterprise_2000
- Product Category
- Teradata Vantage
- teradataml.dataframe.sql.DataFrameColumn.mode = mode(self, **kwargs)
- DESCRIPTION:
Function to get the mode value for a column.
Note:
This can only be used as Time Series Aggregate function.
PARAMETERS:
kwargs:
Specifies optional keyword arguments.
RETURNS:
ColumnExpression
RAISES:
RuntimeError - If column does not support the aggregate operation.
EXAMPLES:
>>> # Load the example datasets.
... load_example_data("dataframe", ["ocean_buoys", "ocean_buoys_seq", "ocean_buoys_nonpti"])
# Example 1: Executing mode function on DataFrame column created on non-sequenced PTI table.
>>> # Create the required DataFrames.
... # DataFrame on non-sequenced PTI table
... ocean_buoys = DataFrame("ocean_buoys")
>>> ocean_buoys_grpby1 = ocean_buoys.groupby_time(timebucket_duration="10m",
... value_expression="buoyid", fill="NULLS")
>>> ocean_buoys_grpby1.temperature.mode()