Create a Plotly view
New in v12.10.0
Plotly is a free and open source package that simplifies the creation of
interactive graphs, such as line plots, scatter plots, histograms, etc. A Plotly graph can be incorporated in your
VIKTOR app by making use of a PlotlyView
.
Example of how an interactive visualization in the PlotlyView could look like (source: plot.ly)
The Plotly graph can either be passed to a PlotlyResult
as a
(JSON) str
representation (e.g. by creating a Plotly Figure
object and calling to_json
on it), or as a valid
Plotly dict
:
import plotly.graph_objects as gofrom viktor import ViktorControllerfrom viktor.views import PlotlyView, PlotlyResultclass Controller(ViktorController): ... @PlotlyView("Plotly view", duration_guess=1) def get_plotly_view(self, params, **kwargs): fig = go.Figure( data=[go.Bar(x=[1, 2, 3], y=[1, 3, 2])], layout=go.Layout(title=go.layout.Title(text="A Figure Specified By A Graph Object")) ) return PlotlyResult(fig.to_json())
from viktor import ViktorControllerfrom viktor.views import PlotlyView, PlotlyResultclass Controller(ViktorController): ... @PlotlyView("Plotly view", duration_guess=1) def get_plotly_view(self, params, **kwargs): fig = { "data": [{"type": "bar", "x": [1, 2, 3], "y": [1, 3, 2]}], "layout": {"title": {"text": "A Figure Specified By Python Dictionary"}} } return PlotlyResult(fig)
A Plotly view can be combined with a data view using a PlotlyAndDataView
Testing
New in v13.3.0
Methods decorated with @PlotlyView
or @PlotlyAndDataView
need to be
mocked within the context of (automated) testing.
import unittestfrom viktor.testing import mock_Viewfrom app.my_entity_type.controller import MyEntityTypeControllerclass TestMyEntityTypeController(unittest.TestCase): @mock_View(MyEntityTypeController) def test_plotly_view(self): params = ... result = MyEntityTypeController().plotly_view(params=params) self.assertEqual(result.figure, ...)