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How does it work in the search window?

Select Create column in the search window toolbar, then select the Exponential: base e operation. You need to specify two arguments:

ArgumentData type
Argument (mandatory)
integer, float

The data type of the values in the new column is float.

Note

The examples in this article use values in a data table generated from   this CSV file. If  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 columnsand extract those we need for this operation into a new column, you can use the Split operation. Click  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, ";", 1516) as `-1to1Values`
select float(`-1to1Values`) as `-1to1Values_float`

We want to get the value e to the power of the numbers in the -1to1Values_float column of our table. To do it, we will create a new column using the Exponential: base e operation.

The arguments needed to create the new column are:

  • Argument - -1to1Values_float column

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Click Create column and you will see the following result:

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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 of the Exponential: base e operation:

  • exp(number)

Example

You can copy the following LINQ script and try the above example on the my.upload.sample.data table.

Code Block
from my.upload.sample.data
select split(message, ";", 1516) as `-1to1Values`
select float(`-1to1Values`) as `-1to1Values_float`
  select exp(`-1to1Values_float`) as exp_base_e

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