# Excel BYROW Function

The Excel BYROW function applies a LAMBDA function to each row of a given array and returns one result per row in a single array. In the example shown, **data** is the named range C5:H9.

*Note: BYROW is a beta function available only through the Insiders channel of Excel 365.*

*array*- The array or array to process.*lambda*- The lambda function to apply to each row.

The Excel BYROW function applies a LAMBDA function to each row in *array* and returns one result per row as a single array. The purpose of BYROW is to process data in an array or range in a "by row" fashion. For example, if BYROW is given an array with 10 rows, BYCOL will return an array with 10 results. The calculation performed on each column is provided by a custom LAMBDA function.

The BYROW function takes two arguments: *array* and *lambda*. *Array* is the array or range to process. *Lambda* is the LAMBDA function that should be run on each row in *array*. The LAMBDA function must return a single result for each column, or BYROW will return a #CALC! error.

### Examples

To sum each row in a range, you can use the BYCOL function like this:

The BYROW function delivers the contents of *range* one row at a time to the LAMBDA function, which uses the SUM function to calculate a total for each *row*. BYROW then delivers the results from the LAMBDA calculation in a single array. If *range* contains 10 rows, BYROW returns an array that contains 10 sums.

### Worksheet example

In the worksheet shown above, the BYROW function is used to run 2 separate calculations on **data**, which is the named range C5:H15. In cell J5, the formula below is used to calculate a sum for each row:

Because there are 11 rows in data, the result is an array with 11 sums like this:

{432;440;403;455;479;433;426;463;407;431;519}

The values in this array spill into the range J5:J15. The formulas below are other examples of how BYROW can be used on the same data with formulas that follow the same pattern:

### Count cells over 90

In cell K5, the formula is a bit more complex. The goal in this case is to count the values in each row greater than 90:

Working from the inside out, a logical expression is used to check all values in *row* against 90, and the resulting TRUE and FALSE values are coerced to 1s and 0s by the double-negative (--). The SUM function sums the result and returns a count. As before, the LAMBDA is run on each row in the data, so there are 11 results total that spill into the range K5:K15.

See Boolean operations in array formulas for more information about the logic inside of SUM.

*Note: the COUNTIF function could be used instead of SUM. Note that COUNTIF requires a range and can't use an in-memory array so there are some situations where COUNTIF isn't an option.*

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