series_fill_linear()
Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel
Linearly interpolates missing values in a series.
Takes an expression containing dynamic numerical array as input, does linear interpolation for all instances of missing_value_placeholder, and returns the resulting array. If the beginning and end of the array contain missing_value_placeholder, then it's replaced with the nearest value other than missing_value_placeholder. This feature can be turned off. If the whole array consists of the missing_value_placeholder, the array is filled with constant_value, or 0 if not specified.
Syntax
series_fill_linear(
series,
[ missing_value_placeholder [,
fill_edges [,
constant_value ]]])
Learn more about syntax conventions.
Parameters
Name | Type | Required | Description |
---|---|---|---|
series | dynamic |
✔️ | An array of numeric values. |
missing_value_placeholder | scalar | Specifies a placeholder for missing values. The default value is double( null) . The value can be of any type that will be converted to actual element types. double (null), long (null) and int (null) have the same meaning. |
|
fill_edges | bool |
Indicates whether missing_value_placeholder at the start and end of the array should be replaced with nearest value. true by default. If set to false , then missing_value_placeholder at the start and end of the array will be preserved. |
|
constant_value | scalar | Relevant only for arrays that entirely consist of null values. This parameter specifies a constant value with which to fill the series. Default value is 0. Setting this parameter it to double( null) preserves the null values. |
Returns
A series linear interpolation of series using the specified parameters. If series contains only int
or long
elements, then the linear interpolation returns rounded interpolated values rather than exact ones.
Note
- If you create series using the make-series operator, specify null as the default value to use interpolation functions like
series_fill_linear()
afterwards. See explanation. - If missing_value_placeholder is
double
(null), or omitted, then a result may contain null values. To fill these null values, use other interpolation functions. Only series_outliers() supports null values in input arrays. series_fill_linear()
preserves the original type of the array elements.
Example
let data = datatable(arr: dynamic)
[
dynamic([null, 111.0, null, 36.0, 41.0, null, null, 16.0, 61.0, 33.0, null, null]), // Array of double
dynamic([null, 111, null, 36, 41, null, null, 16, 61, 33, null, null]), // Similar array of int
dynamic([null, null, null, null]) // Array with missing values only
];
data
| project
arr,
without_args = series_fill_linear(arr),
with_edges = series_fill_linear(arr, double(null), true),
wo_edges = series_fill_linear(arr, double(null), false),
with_const = series_fill_linear(arr, double(null), true, 3.14159)
Output
arr |
without_args |
with_edges |
wo_edges |
with_const |
---|---|---|---|---|
[null,111.0,null,36.0,41.0,null,null,16.0,61.0,33.0,null,null] | [111.0,111.0,73.5,36.0,41.0,32.667,24.333,16.0,61.0,33.0,33.0,33.0] | [111.0,111.0,73.5,36.0,41.0,32.667,24.333,16.0,61.0,33.0,33.0,33.0] | [null,111.0,73.5,36.0,41.0,32.667,24.333,16.0,61.0,33.0,null,null] | [111.0,111.0,73.5,36.0,41.0,32.667,24.333,16.0,61.0,33.0,33.0,33.0] |
[null,111,null,36,41,null,null,16,61,33,null,null] | [111,111,73,36,41,32,24,16,61,33,33,33] | [111,111,73,36,41,32,24,16,61,33,33,33] | [null,111,73,36,41,32,24,16,61,33,null,null] | [111,111,74,38, 41,32,24,16,61,33,33,33] |
[null,null,null,null] | [0.0,0.0,0.0,0.0] | [0.0,0.0,0.0,0.0] | [0.0,0.0,0.0,0.0] | [3.14159,3.14159,3.14159,3.14159] |