# Math

Calculate one or more new columns using math functions.

## Parameters

| Name      | Type        | Description                                                                                                | Is Optional |
| --------- | ----------- | ---------------------------------------------------------------------------------------------------------- | ----------- |
| math\_ops | math\_list  | List of math operations to generate new columns. For example, \["AGE\_COLUMN + 5", "WEIGHT\_COLUMN / 100"] |             |
| names     | value\_list | To alias the new columns, provide a list of column names matching the number of math operations.           | True        |

## Example

Pull a source Dataset and preview it:

```python
ds = rasgo.get.dataset(id)
print(ds.preview())
```

|    | SALESAMOUNT |  TAXAMT | DUEDATE             |
| -: | ----------: | ------: | ------------------- |
|  0 |     3578.27 | 286.262 | 2011-01-10 00:00:00 |
|  1 |     3399.99 | 271.999 | 2011-01-10 00:00:00 |
|  2 |     3399.99 | 271.999 | 2011-01-10 00:00:00 |
|  3 |     699.098 | 55.9279 | 2011-01-10 00:00:00 |
|  4 |     3399.99 | 271.999 | 2011-01-10 00:00:00 |
|  5 |     3578.27 | 286.262 | 2011-01-11 00:00:00 |
|  6 |     3578.27 | 286.262 | 2011-01-11 00:00:00 |
|  7 |     3374.99 | 269.999 | 2011-01-11 00:00:00 |
|  8 |     3399.99 | 271.999 | 2011-01-11 00:00:00 |
|  9 |     3578.27 | 286.262 | 2011-01-12 00:00:00 |

Transform the Dataset and preview the result:

```python
ds2 = ds.math(
    math_ops=['SALESAMOUNT * 10', 'SALESAMOUNT - TAXAMT'],
    names=['SALES10', 'SALESNET'])

ds2.preview()

```

|    | SALESAMOUNT |  TAXAMT | DUEDATE             | SALES10 | SALESNET |
| -: | ----------: | ------: | ------------------- | ------: | -------: |
|  0 |     3578.27 | 286.262 | 2011-01-10 00:00:00 | 35782.7 |  3292.01 |
|  1 |     3399.99 | 271.999 | 2011-01-10 00:00:00 | 33999.9 |  3127.99 |
|  2 |     3399.99 | 271.999 | 2011-01-10 00:00:00 | 33999.9 |  3127.99 |
|  3 |     699.098 | 55.9279 | 2011-01-10 00:00:00 | 6990.98 |   643.17 |
|  4 |     3399.99 | 271.999 | 2011-01-10 00:00:00 | 33999.9 |  3127.99 |
|  5 |     3578.27 | 286.262 | 2011-01-11 00:00:00 | 35782.7 |  3292.01 |
|  6 |     3578.27 | 286.262 | 2011-01-11 00:00:00 | 35782.7 |  3292.01 |
|  7 |     3374.99 | 269.999 | 2011-01-11 00:00:00 | 33749.9 |  3104.99 |
|  8 |     3399.99 | 271.999 | 2011-01-11 00:00:00 | 33999.9 |  3127.99 |
|  9 |     3578.27 | 286.262 | 2011-01-12 00:00:00 | 35782.7 |  3292.01 |

## Source Code

{% embed url="<https://github.com/rasgointelligence/RasgoTransforms/blob/main/rasgotransforms/rasgotransforms/transforms/math/snowflake/math.sql>" %}


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