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Computes the rolling minimum of Date values forward or backward of the current row within the specified column. Inputs must be of Datetime type. |
- If an input value is missing or null, it is not factored in the computation. For example, for the first row in the dataset, the rolling minimum of previous values is undefined.
The row from which to extract a value is determined by the order in which the rows are organized based on the order parameter.
If you are working on a randomly generated sample of your dataset, the values that you see for this function might not correspond to the values that are generated on the full dataset during job execution.
- The function takes a column name and two optional integer parameters that determine the window backward and forward of the current row.
- The default integer parameter values are
-1 and 0, which computes the rolling function from the current row back to the first row of the dataset.
- This function works with the Window transform. See Window Transform.
For more information on a non-rolling version of this function, see MINDATE Function.
Column example:
| D lang syntax |
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| RawWrangle | true |
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| Type | ref |
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| showNote | true |
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| WrangleText | derive type:single value:rollingmindate(myDates) |
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rollingmindate(myDates) |
Output: Returns the rolling minimum of all Datetime values in the myDates column.
Rows before example:
| D lang syntax |
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| RawWrangle | true |
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| Type | ref |
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| showNote | true |
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| WrangleText | window value:rollingmindate(myDates, 3) |
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rollingmindate(myDates, 3) |
Output: Returns the rolling minimum of the current row and the three previous row values in the myDates column.
Rows before and after example:
| D lang syntax |
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| RawWrangle | true |
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| Type | ref |
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| showNote | true |
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| WrangleText | window value:rollingmin(myDates, 3, 2) |
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rollingmindate(myDates, 3, 2) |
Output: Returns the rolling minimum of the three previous row values, the current row value, and the two rows after the current one in the myDates column.
| D lang syntax |
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| RawWrangle | true |
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| Type | syntax |
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| showNote | true |
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| WrangleText | window value:rollingmindate(col_ref, rowsBefore_integer, rowsAfter_integer) order: order_col [group: group_col] |
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rollingmindate(col_ref, rowsBefore_integer, rowsAfter_integer) order: order_col [group: group_col] |
| Argument | Required? | Data Type | Description |
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| col_ref | Y | string | Name of column whose values are applied to the function |
| rowsBefore_integer | N | integer | Number of rows before the current one to include in the computation |
| rowsAfter_integer | N | integer | Number of rows after the current one to include in the computation |
For more information on the order and group parameters, see Window Transform.
col_ref
Name of the column whose values are used to compute the function. Inputs must be Datetime values.
Multiple columns and wildcards are not supported.
| Required? | Data Type | Example Value |
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| Yes | String (column reference to Datetime values) | transactionDate |
rowsBefore_integer, rowsAfter_integer
Integers representing the number of rows before or after the current one from which to compute the rolling function, including the current row. For example, if the first value is 5, the current row and the five rows before it are used in the computation. Negative values for k compute the rolling average from rows preceding the current one.
rowBefore=0 generates the current row value only.rowBefore=-1 uses all rows preceding the current one.- If
rowsAfter is not specified, then the value 0 is applied. - If a
group parameter is applied, then these parameter values should be no more than the maximum number of rows in the groups.
| Required? | Data Type | Example Value |
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| No | Integer | 4 |
Example - Rolling date functions
| Include Page |
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| EXAMPLE - Rolling Date Functions |
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| EXAMPLE - Rolling Date Functions |
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