Teradata Package for Python Function Reference on VantageCloud Lake - __floordiv__ - 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.__floordiv__ = __floordiv__(self, other)
- Compute the floor division between two ColumnExpressions using //.
PARAMETERS:
other:
Required Argument.
Specifies Python literal or another ColumnExpression.
Types: ColumnExpression, Python literal
RETURNS:
ColumnExpression
RAISES:
Exception
A TeradataMlException gets thrown if SQLAlchemy
throws an exception when evaluating the expression.
EXAMPLES:
>>> load_example_data("burst", "finance_data")
>>> df = DataFrame("finance_data")
>>> df
start_time_column end_time_column expenditure income investment
id
1 67/06/30 07/07/10 415.0 451.0 180.0
4 67/06/30 07/07/10 448.0 493.0 192.0
2 67/06/30 07/07/10 421.0 465.0 179.0
3 67/06/30 07/07/10 434.0 485.0 185.0
5 67/06/30 07/07/10 459.0 509.0 211.0
# Get the income and investment columns.
>>> c1 = df.income
>>> c2 = df.investment
# Example 1: Divide the income by 2 and assign the divided income to
# new column 'divided_income'.
>>> df.assign(divided_income=c1 // 2)
# Example 2: Calculate the percent of investment of income and assign the
# final amount to new column 'percent_inverstment_'.
>>> df.assign(percent_inverstment_=df.investment * 100 // df.income)