Export QGIS layers as images with PyQGIS

PyQGIS is a powerful tool that enables the automation of various processes, including the seamless export of images for all layers from a map.

To start the automation, you'll need one or more layers containing raster and/or vector data.

Add layers with PyQGIS

In the initial step, if all your files reside in the same folder, you can use a "for .. in loop" to read them in. By adding .endswith(".gpkg"), for instance, you can specifically target files with the ".gpkg" extension. The layer names are then stored in an array for future reference.

python
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import os, sys
    from PyQt5.QtCore import QTimer

    # path to look for files
    path = "ordner/nocheinordner/"
    # set path
    dirs = os.listdir( path )
    # array for storing layer_names
    layer_list = []
    # variable for further processing
    count = 0
    #look for files inpath
    for file in dirs:
    	# search for ".gpkg" files 
        if file.endswith(".gpkg"):
    		#add vectorlayers
            vlayer = iface.addVectorLayer(path + file, "Layername", "ogr")
            layer_list.append(vlayer.name())

The newly added vector layers will then appear in the QGIS layer tree.

Image Export for Each Layer

Once you are satisfied with the display, you can use two functions to export a georeferenced image for each layer.

python
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def prepareMap():
        # make all layers invisible
    	iface.actionHideAllLayers().trigger()
        # get layer by layer_name
    	layer_name = QgsProject.instance().mapLayersByName(layer_list[count])[0]
        # select layer
    	iface.layerTreeView().setCurrentLayer(layer_name)
        # set selected layer visible
    	iface.actionShowSelectedLayers().trigger()
        # Wait a second and export the map
    	QTimer.singleShot(1000, exportMap)

The "prepareMap ()" function first deactivates all layers. A layer is then selected from the "layer_list" array using its layer name and then displayed again. The QTimer class is particularly important here. Before an image is created, there must always be a short wait before the selected layer is really visible. Without QTimer, the script would run so quickly that the result would be loud images with the same content. After waiting a second, the "exportMap" function is called.

python
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def exportMap(): 
        global count
    	# save current view as image
        iface.mapCanvas().saveAsImage( path + layer_list[count] + ".png" )
    	# feedback for printed map
        print('{}.png exported sucessfully'.format(layer_list[count]))
    	# get map for every layer in layer_list
        if count < len(layer_list)-1:
    		# Wait a second and prepare next map (timer is needed because otherwise all images have the samec content 
    		# the script excecutes faster then the mapCanvas can be reloaded
            QTimer.singleShot(1000, prepareMap) 
        count += 1

Now the current map, in which only one level is shown, is saved as a PNG image in the source directory. Ultimately, you "land" in a loop that goes through all the layers that are in the "layer_list" array and calls the "prepareMap" function for each layer again.