verticapy.sql.functions.lower#

verticapy.sql.functions.lower(expr: str | list[str] | StringSQL | list[StringSQL]) → StringSQL#

Returns a VARCHAR value containing the argument converted to lowercase letters.

Parameters#

expr: SQLExpression: Expression.

Returns#

StringSQL: SQL string.

Examples#

First, let’s import the vDataFrame in order to create a dummy dataset.

from verticapy import vDataFrame

Now, let’s import the VerticaPy SQL functions.

import verticapy.sql.functions as vpf

We can now build a dummy dataset.

df = vDataFrame({"x": ["Badr", "Colin", "Fouad", "Arash"]})

Now, let’s go ahead and apply the function.

df["lower_x"] = vpf.lower(df["x"])
display(df)

	Abc x Varchar(5) 100%	Abc lower_x Varchar(10) 100%
1	Badr	badr
2	Colin	colin
3	Fouad	fouad
4	Arash	arash

Note

It’s crucial to utilize VerticaPy SQL functions in coding, as they can be updated over time with new syntax. While SQL functions typically remain stable, they may vary across platforms or versions. VerticaPy effectively manages these changes, a task not achievable with pure SQL.