changed plotting backend to plotly-static

ourownstory · Apr 27, 2023 · 6a53b58 · 6a53b58
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diff --git a/docs/source/how-to-guides/application-examples/energy_hospital_load.ipynb b/docs/source/how-to-guides/application-examples/energy_hospital_load.ipynb
diff --git a/docs/source/how-to-guides/application-examples/energy_solar_pv.ipynb b/docs/source/how-to-guides/application-examples/energy_solar_pv.ipynb
diff --git a/docs/source/how-to-guides/feature-guides/uncertainty_quantification.ipynb b/docs/source/how-to-guides/feature-guides/uncertainty_quantification.ipynb
diff --git a/docs/source/quickstart.ipynb b/docs/source/quickstart.ipynb
diff --git a/docs/source/tutorials/tutorial01.ipynb b/docs/source/tutorials/tutorial01.ipynb
@@ -112,8 +112,8 @@
     "\n",
     "# Create a NeuralProphet model with default parameters\n",
     "m = NeuralProphet()\n",
-    "# Use matplotlib for plotting (as plotly does not work in saved notebooks, see #1235)\n",
-    "m.set_plotting_backend(\"matplotlib\")\n",
+    "# Use static plotly in notebooks\n",
+    "m.set_plotting_backend(\"plotly-static\")\n",
     "\n",
     "# Fit the model on the dataset (this might take a bit)\n",
     "metrics = m.fit(df)"

diff --git a/docs/source/tutorials/tutorial02.ipynb b/docs/source/tutorials/tutorial02.ipynb
@@ -109,7 +109,7 @@
     "    weekly_seasonality=False,\n",
     "    daily_seasonality=False,\n",
     ")\n",
-    "m.set_plotting_backend(\"matplotlib\")  # Use matplotlib due to #1235\n",
+    "m.set_plotting_backend(\"plotly-static\")\n",
     "metrics = m.fit(df)\n",
     "forecast = m.predict(df)\n",
     "m.plot(forecast)"

diff --git a/docs/source/tutorials/tutorial03.ipynb b/docs/source/tutorials/tutorial03.ipynb
diff --git a/docs/source/tutorials/tutorial04.ipynb b/docs/source/tutorials/tutorial04.ipynb
@@ -94,7 +94,7 @@
     "    weekly_seasonality=True,\n",
     "    daily_seasonality=True,\n",
     ")\n",
-    "m.set_plotting_backend(\"matplotlib\")  # Use matplotlib due to #1235\n",
+    "m.set_plotting_backend(\"plotly-static\")\n",
     "metrics = m.fit(df)\n",
     "forecast = m.predict(df)\n",
     "m.plot(forecast)"

diff --git a/docs/source/tutorials/tutorial05.ipynb b/docs/source/tutorials/tutorial05.ipynb
diff --git a/docs/source/tutorials/tutorial06.ipynb b/docs/source/tutorials/tutorial06.ipynb
diff --git a/docs/source/tutorials/tutorial07.ipynb b/docs/source/tutorials/tutorial07.ipynb
diff --git a/docs/source/tutorials/tutorial08.ipynb b/docs/source/tutorials/tutorial08.ipynb
diff --git a/docs/source/tutorials/tutorial09.ipynb b/docs/source/tutorials/tutorial09.ipynb