Call the plugin from the python console (BETA!)

DataPlotly comes with some simple API that can be used from the python console.

Actually the method accept a structured dictionary as input, calls and open the dialog of the plugin populating each field with the dictionary values and creating the final plot.


not all the customization are (yet) available in this method, but you can easily update the plot with the Update Plot button. See DataPlotly Basic Usage

Code example

The following example is very simple and straightforward. Supposing you have already a layer loaded in the QGIS legend we will access to is, take 2 fields and building a simple scatter plot.

Open QGIS and the python console. The example considers the PH and T fields of the layer (just look at the code and change the fields according to your layer):

# create the VectorLayer object from with iface
vl = iface.activeLayer()

# import the plugins
from qgis.utils import plugins

# create the instace of the DataPlotly plugin
my = plugins['DataPlotly']

# initialize and empty dictionary
dq = {}

# create nested dictionaries for plot and layour properties
dq['plot_prop'] = {}
dq['layout_prop'] = {}

# start to fill the dictionary with values you want

# plot type
dq['plot_type'] = 'scatter'
# QgsVectorLayer object
dq["layer"] = vl
# choose the plot properties
dq['plot_prop']['x'] = [i["O2"] for i in vl.getFeatures()]
dq['plot_prop']['y'] = [i["EC"] for i in vl.getFeatures()]
dq['plot_prop']['marker'] = 'markers'
dq['plot_prop']['x_name'] = 'O2'
dq['plot_prop']['y_name'] = 'EC'

# choose the layout properties
dq['layout_prop']['legend'] = True
dq['layout_prop']["range_slider"] = {}
dq['layout_prop']["range_slider"]["visible"] = False

# call the method that opens the dialog

Using the example code shown above should open the DataPlotly dialog, create the plot and also popultate the dialog fields (comboboxes, checkboxes, etc.) with the values chosen (where possible).


this method is still in BETA and there are several known issues.