Floor (floor)
Description
Adds a new column that rounds the values of a numeric field, returning the largest previous integer numbers.
Use Ceiling (ceil) if you want to get the smallest following integers.
How does it work in the search window?
Select Create column in the search window toolbar, then select the Floor operation. You need to specify one argument:
Argument | Data type |
---|---|
Number to round mandatory | integer, float |
The data type of the values in the new column is integer or float, depending on the selected input data.
Example
The examples in this article use values in a data table generated from the following CSV file.
If you want to try the example for yourself, download the file and upload it to your domain clicking Data upload in the navigation pane. Name the new table my.upload.sample.data and select Current date as Date parsing type. Learn more about uploading data in Uploading log files.
After receiving the confirmation message, you can access the table from the Finder, selecting my → upload → sample → data. When you upload data from a file, all the information is included in a single column called message. To split the values into different columns, you can use the Split (split) operation. Click Toggle Query Editor in the search window toolbar and paste the following LINQ query to save time:
from my.upload.sample.data
select split(message, ";", 16) as decimals
select float(decimals) as decimals_float
In the my.upload.sample.dataÂ
table, we want to round down all the numbers in the decimals_float column. To do it, we will create a new column using the Floor operation.
The arguments needed to create the new column are:
Number to round - decimals_float column
Click Create column and you will see the following result:
How does it work in LINQ?
Use the operator select
... as
... and add the operation syntax to create the new column. This is the syntax for the Floor operation:
floor(number)
Example
You can copy the following LINQ script and try the above example on the my.upload.sample.dataÂ
table.Â
from my.upload.sample.data
select split(message, ";", 16) as decimals
select float(decimals) as decimals_float
select floor(decimals_float) as decimals_floor