verticapy.sql.functions.microsecond#

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

Returns the microsecond portion of the specified date as an integer.

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": [
            '11-03-1993 12:05:10.23',
            '09-05-1959 03:10:20.12',
        ],
    },
)
df["x"].astype("timestamp")

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

df["microsecond_x"] = vpf.microsecond(df["x"])
display(df)

	📅 x Timestamp 100%	123 microsecond_x Integer 100%
1	1993-11-03 12:05:10.230000	230000
2	1959-09-05 03:10:20.120000	120000

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.