Heatmap Plots (DP_HMP)

This function creates heatmap plots for a given input dataset.

A heatmap plot is a visualization technique that uses color-coded cells to represent the values of a two-dimensional dataset. It provides a quick and intuitive way to identify patterns, relationships, and variations in the data. Heatmap plots are commonly used in data analysis, exploratory data visualization, and correlation analysis.

Sample Request

{
    "project_id": 1,
    "block_id": ,
    "parent_id": 0,
    "function_code": "DP_HMP",
    "args": {
        "dataset": "http://cloud.autogonai.s3.amazonaws.com/1a65c19c-b891-4be3-bbfe-ed5c5ec58207.csv"
    }
}

Parameter Details

Heatmap Plots

POST https://autogon.ai/api/v1/engine/start

Request Body

Name	Type	Description
project_id*	int	current project ID
parent_id*	int	parent block ID
block_id*	int	current block ID
function_code*	String	block's function code
args*	object	block arguments
dataset*	String	URL for dataset to be plotted from

200: OK Data Encode Successful

{
    "status": "true",
    "message": {
        "id": 3,
        "project": 1,
        "block_id": 7,
        "parent_id": 6,
        "dataset_url": "",
        "x_value_url": "",
        "y_value_url": ""
    }
}

Python

// Some code

Node

projectId = 1
parentId = 6
blockId = 7

client.array_reshaping(projectId, parentId, blockId, {