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How does it work in the search window?
Select Create column in the search window toolbar, then select the Logarithm: natural / arbitrary base operation. You need to specify at least one argument:
Argument | Data type |
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Argument mandatory | integer, float |
Base | integer, float |
The data type of the values in the new column is float.
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Example
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The examples in this article use values in a data table generated from the following CSV file. |
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If you want to try the example for yourself, download the file and upload it to your domain by clicking |
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Data upload |
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in the navigation |
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panel. Name the new |
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table |
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and select Current date |
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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 (split) operation. Click Toggle Query Editor in the search window toolbar and paste the following LINQ query to get the information required for the examples below:
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We want to get the base-e logarithm of the numbers in our posNumbers1 column. To do it, we will create a new column using the Logarithm: natural / arbitrary base operation.
First, we must transform the string values in the posNumbers1 column into a data type integer. To do it, create a new column using the To Int operation. Call the new column integerValues.
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Now, create another column using the Logarithm: natural / arbitrary base operation. The arguments needed to create the new column are:
Argument - integerValues column
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Click Create column and you will see the following result:
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log(number)log(base_number, number)
Example
You can copy the following LINQ script and try the above example on the my.upload.sample.data table.
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from my.upload.sample.data select split(message, ";", 17) as posNumbers1 select int(posNumbers1) as integerValues select log(integerValues) as loge |