24.1.12. Plots

24.1.12.1. Bar plot 

Creates a bar plot from a category and a layer field.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
Category field name	`NAME_FIELD`	[tablefield: any]	Categorical field to use for grouping the bars (X axis)
Value field	`VALUE_FIELD`	[tablefield: any]	Value to use for the plot (Y axis).
Bar plot	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Bar plot	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:barplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.2. Box plot 

Creates a box plot from a category field and a numerical layer field.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
Category name field	`NAME_FIELD`	[tablefield: any]	Categorical field to use for grouping the boxes (X axis)
Value field	`VALUE_FIELD`	[tablefield: any]	Value to use for the plot (Y axis).
Additional statistic lines	`MSD`	[enumeration] Default: 0	Additional statistics information to add to the plot. One of: 0 — Show Mean 1 — Show Standard Deviation 2 — Don’t show mean and standard deviation
Box plot	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Box plot	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:boxplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.3. Generate elevation profile image 

Creates an elevation profile image from a list of map layers and an optional terrain layer.

Parameters

Basic parameters

Label	Name	Type	Description
Profile curve	`CURVE`	[vector: line]	The line layer representing the profile curve along which the elevation profile will be generated
Map layers	`MAP_LAYERS`	[layer] [list]	The list of map layers to include in the elevation profile
Chart width (in pixels)	`WIDTH`	[number] Default: 400 Minimum value: 0	The width of the output chart in pixels.
Chart height (in pixels)	`HEIGHT`	[number] Default: 300 Minimum value: 0	The height of the output chart in pixels.
Terrain layer Optional	`TERRAIN_LAYER`	[raster]	A terrain layer (e.g., DEM) to use for elevation data. If not provided, elevation data will be derived from the map layers.

Advanced parameters

Label	Name	Type	Description
Chart minimum distance (X axis) Optional	`MINIMUM_DISTANCE`	[number]	The minimum distance (X axis) to display on the chart. If not specified, the chart will auto-scale.
Chart maximum distance (X axis) Optional	`MAXIMUM_DISTANCE`	[number]	The maximum distance (X axis) to display on the chart. If not specified, the chart will auto-scale.
Chart minimum elevation (Y axis) Optional	`MINIMUM_ELEVATION`	[number]	The minimum elevation (Y axis) to display on the chart. If not specified, the chart will auto-scale.
Chart maximum elevation (Y axis) Optional	`MAXIMUM_ELEVATION`	[number]	The maximum elevation (Y axis) to display on the chart. If not specified, the chart will auto-scale.
Chart text color Optional	`TEXT_COLOR`	[color]	The color of the text in the chart (e.g., axis labels, titles).
Chart background color Optional	`BACKGROUND_COLOR`	[color]	The background color of the chart.
Chart border color Optional	`BORDER_COLOR`	[color]	The color of the chart border.
Profile tolerance	`TOLERANCE`	[number] Default: 5 Minimum value: 0	Defines how far a feature (vector point, line, polygon, or point cloud) can be from the profile line to be included in the results. It uses map units and does not affect other layer types.
Chart DPI	`DPI`	[number] Default: 96 Minimum value: 0	The resolution of the output image in dots per inch (DPI).
Output image	`OUTPUT`	[file] Default: `[Save to temporary file]`	Specify the image file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Output image	`OUTPUT`	[file]	The generated elevation profile image in the specified format.

Python code

Algorithm ID: qgis:generateelevationprofileimage

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.4. Mean and standard deviation plot 

Creates a box plot with mean and standard deviation values.

Parameters

Label	Name	Type	Description
Input table	`INPUT`	[vector: any]	Input vector layer
Category name field	`NAME_FIELD`	[tablefield: any]	Categorical field to use for grouping the boxes (X axis)
Value field	`VALUE_FIELD`	[tablefield: any]	Value to use for the plot (Y axis).
Plot	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Plot	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:meanandstandarddeviationplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.5. Polar plot 

Generates a polar plot based on the value of an input vector layer.

Two fields must be entered as parameters: one that defines the category each feature (to group features) and another one with the variable to plot (this has to be a numeric one).

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
Category name field	`NAME_FIELD`	[tablefield: any]	Categorical field to use for grouping the features (X axis)
Value field	`VALUE_FIELD`	[tablefield: any]	Value to use for the plot (Y axis).
Polar plot	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Polar plot	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:polarplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.6. Raster layer histogram 

Generates a histogram with the values of a raster layer.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[raster]	Input raster layer
Band number	`BAND`	[raster band]	Raster band to use for the histogram
number of bins	`BINS`	[number] Default: 10	The number of bins to use in the histogram (X axis). Minimum 2.
Histogram	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Histogram	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:rasterlayerhistogram

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.7. Vector layer histogram 

Generates a histogram with the values of the attribute of a vector layer.

The attribute to use for computing the histogram must be numeric.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
Attribute	`FIELD`	[tablefield: any]	Value to use for the plot (Y axis).
number of bins	`BINS`	[number] Default: 10	The number of bins to use in the histogram (X axis). Minimum 2.
Histogram	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Histogram	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:vectorlayerhistogram

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.8. Vector layer scatterplot 

Creates a simple X - Y scatter plot for a vector layer.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
X attribute	`XFIELD`	[tablefield: any]	Field to use for the X axis
Y attribute	`YFIELD`	[tablefield: any]	Field to use for the Y axis
Scatterplot	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Scatterplot	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:vectorlayerscatterplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.

24.1.12.9. Vector layer scatterplot 3D 

Creates a 3D scatter plot for a vector layer.

Parameters

Label	Name	Type	Description
Input layer	`INPUT`	[vector: any]	Input vector layer
X attribute	`XFIELD`	[tablefield: any]	Field to use for the X axis
Y attribute	`YFIELD`	[tablefield: any]	Field to use for the Y axis
Z attribute	`ZFIELD`	[tablefield: any]	Field to use for the Z axis
Histogram	`OUTPUT`	[html] Default: `[Save to temporary file]`	Specify the HTML file for the plot. One of: Save to a Temporary File Save to File…

Outputs

Label	Name	Type	Description
Histogram	`OUTPUT`	[html]	HTML file with the plot. Available in the Processing ► Result Viewer.

Python code

Algorithm ID: qgis:scatter3dplot

import processing
processing.run("algorithm_id", {parameter_dictionary})

The algorithm id is displayed when you hover over the algorithm in the Processing Toolbox. The parameter dictionary provides the parameter NAMEs and values. See Using processing algorithms from the console for details on how to run processing algorithms from the Python console.