Key Facts
- Category
- Data Processing
- Input Types
- textarea, number
- Output Type
- text
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The Flatten Depth Array tool flattens nested JSON arrays to a specified depth using lodash's _.flattenDepth function. It provides precise control over flattening levels, allowing you to reduce nesting while preserving deeper structures for data processing tasks.
When to Use
- •When you need to flatten an array to a specific depth while keeping deeper nested elements intact.
- •For processing nested arrays level by level in data transformation or analysis workflows.
- •To partially flatten arrays without losing all hierarchical structure.
How It Works
- •Enter a valid JSON array with nested elements in the input field.
- •Set the desired flatten depth between 1 and 10 (defaults to 2 if not specified).
- •The tool applies lodash _.flattenDepth to flatten the array to the given depth.
- •Receive the flattened array as text output.
Use Cases
Examples
1. Partial Flattening for Data Inspection
- Background
- A developer has a nested array from a configuration object.
- Problem
- Need to flatten only the first level to examine immediate sub-arrays without altering deeper nesting.
- How to Use
- Input the array [1, [2, [3, [4]]], 5] and set depth to 1.
- Outcome
- The array is flattened to [1, 2, [3, [4]], 5], preserving the innermost structure.
2. Full Flattening for Analysis
Data Analyst- Background
- Working with deeply nested data from a JSON file for statistical analysis.
- Problem
- Require a completely flattened array to compute aggregates or visualize data.
- How to Use
- Enter the array [1, [2, [3, [4]]], 5] and set depth to 3.
- Example Config
-
depth: 3 - Outcome
- The array is fully flattened to [1, 2, 3, 4, 5], ready for analysis.
Try with Samples
jsonRelated Hubs
FAQ
What is the maximum depth allowed?
You can set the depth from 1 to 10 levels.
What input format is required?
The input must be a valid JSON array with any level of nesting.
Can it handle arrays with mixed data types?
Yes, it processes arrays containing numbers, strings, and nested arrays.
Is the depth parameter mandatory?
No, depth is optional and defaults to 2 if not provided.
What if I provide invalid JSON?
The tool will return an error; ensure your input is a properly formatted JSON array.