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Attribute Histogram Plotter

QGIS Script · Python

Attribute Histogram Plotter

Plots distribution histograms for any numeric field in a vector layer — auto-detects all numeric columns or targets a specific list. Group by any category field (e.g. tree_type) to get one chart per group, each saved as a PNG and shown on screen. Works great after Tree Height Extractor and Canopy NDVI Calculator to visualise height and NDVI distributions by species.

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What you get

plot_attribute_histograms.py
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Also in the Vegetation & Field Analysis Pack — 6 scripts for $70 · save $50 vs buying separately

What it does

Any numeric field

Set columns = None to auto-detect every numeric field in the layer, or pass a list like ['height', 'NDVI_median'] to target specific fields only.

Grouped by any category

Set group_by to any string field (e.g. tree_type) to generate a separate chart per group — or set it to None to plot all features in one chart.

Side-by-side histograms

One subplot per column arranged in a single row — compare height, NDVI, area, or any other attributes side by side at a glance.

PNG export + on-screen preview

Each chart is saved as {group_value}_distribution.png alongside the source layer file and displayed on screen during the run.

Works great after: Tree Height Extractor + Canopy NDVI Calculator

This script expects a polygon layer that already has height and NDVI_median fields. Run the Tree Height Extractor and the Canopy NDVI Calculator on your polygon layer first, then use this script to plot the distributions.

Height Extractor NDVI Calculator

How to use it

  1. 1

    Click your vector layer to make it the active layer.

  2. 2

    Open Plugins → Python Console → Show Editor.

  3. 3

    Paste the script. At the bottom set columns (None for all numeric fields, or a list like ['height', 'NDVI_median']) and group_by (a category field name, or None for no grouping).

  4. 4

    Click Run. One PNG per group is saved and displayed.

Requirements

  • QGIS 3.28 or newer
  • matplotlib — install via OSGeo4W Shell if not already present: pip install matplotlib
  • Active vector layer with at least one numeric attribute field

Also in the Vegetation & Field Analysis Pack

Get all 6 vegetation scripts for $70 — save $50 vs buying individually.

View bundle