# Usare il plugin da console (BETA!)

DataPlotly ha alcune API che possono essere usate dalla console python.

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.

Nota

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

## 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
    my.loadPlot(dq)

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).

Avvertimento

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