# Summarize Flatlines

Given a dataset, searches finds "flatline" sequences of a repeated values that do not change.

Choose a value column, a column to be used for ordering (such as a date), and a minimum cutoff for the number of repeated occurrences to consider.

The result is a summarized table.

## Parameters

| Name               | Type         | Description                                                                                                          | Is Optional |
| ------------------ | ------------ | -------------------------------------------------------------------------------------------------------------------- | ----------- |
| group\_by          | column\_list | The column(s) used to partition you data into groups. Flatlines (repeated values) will be searched within each group |             |
| value\_col         | column       | The column for which to search for flatlines.                                                                        |             |
| order\_col         | column       | The column used to order the rows within groups.                                                                     |             |
| min\_repeat\_count | int          | The minimum length of a sequence of repeated values to consider                                                      |             |

## Example

```python
ds = rasgo.get.dataset()

test = ds.apply(group_by=['TICKER','SYMBOL'],
                value_col='CLOSE',
                order_col='DATE',
                min_repeat_count=1
                )

test.preview()
```

## Source Code

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


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.rasgoml.com/rasgo-docs/rasgo-0.1/all-transforms/summarize_flatlines.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.