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Hyperbolic cosine (cosh)

Description

Returns the hyperbolic cosine of the selected numeric field.

How does it work in the search window?

Select Create column in the search window toolbar, then select the Hyperbolic cosine operation. This operation needs only one argument:

Argument

Data type

Argument

Data type

Number mandatory

integer, float

The data type of the new column is integer.


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 and extract those we need for this operation into a new column, you can use the 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, ";", 17) as numbers,
int(numbers) as numbers_int


For the purposes of describing the use of this operation, we'll calculate the hyperbolic cosine of an integer field in our my.upload.sample.data table.

With the table open in the search window, we click Create column and select the Hyperbolic cosine operation. Select the numbers_int column as the argument and assign a name to the new column - let's call it numbers_int_cosh.

Click Create column and you will see the new numbers_int_cosh column containing integer values.

How does it work in LINQ?

Use the operator select... as...  to apply the Create column operation. These are the valid formats of the operation:

  • cosh(integer)

  • cosh(float)

Examples

Copy the following LINQ script and use it to replicate the previous example if you have uploaded the file. 

from my.upload.sample.data
select split(message, ";", 17) as numbers,
int(numbers) as numbers_int
select cosh(numbers_int) as numbers_int_cosh

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