# Drop Columns (DP\_6)

With this, you can easily drop one or multiple columns that are not relevant or redundant to your analysis. The process of removing columns is straightforward and user-friendly, simply select the columns you want to drop and the tool will do the rest. 

The remaining columns will be updated in real-time to reflect the changes made, and the modified dataset can be saved for future use.

## Sample Request

This request drops columns on index 0, 1, 3, and 8 in the X variable.

```json
{
    "project_id": 1,
    "parent_id": 5,
    "block_id": 6,
    "function_code": "DP_6",
    "args": {
        "x_columns": [0, 1, 3, 8],
        "y_columns": [],
        "d_columns": []
    }
}
```

## Drop Specific Columns

<mark style="color:green;">`POST`</mark> `https://autogon.ai/api/v1/engine/start`

Drop specified multiple columns

#### Request Body

| Name                                             | Type   | Description           |
| ------------------------------------------------ | ------ | --------------------- |
| project\_id<mark style="color:red;">\*</mark>    | int    | current project ID    |
| parent\_id<mark style="color:red;">\*</mark>     | int    | parent block ID       |
| block\_id<mark style="color:red;">\*</mark>      | int    | current block ID      |
| function\_code<mark style="color:red;">\*</mark> | String | block's function code |
| args                                             | object | block arguments       |

{% tabs %}
{% tab title="200: OK Drop Column Successful" %}

```json
{
    "status": true,
    "message": {
        "id": 00000,
        "project": 0,
        "block_id": 0,
        "parent_id": 0,
        "dataset_url": "https://storage.autogon.ai/dataset.csv",
        "function_action": 00
    }
}
```

{% endtab %}
{% endtabs %}

{% tabs %}
{% tab title="Python" %}

```
// Some code
```

{% endtab %}

{% tab title="Node" %}

```
// Some code
```

{% endtab %}
{% endtabs %}


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