Updating the ipython magic for interactive matplotlib.

Interactive usage of matplotlib in Jupyter notebooks/JupyterLab requires
installation of the ipympl backend. Additionally, usage of the ipython magic
changed from %matplotlib notebook (used in classic notebook<7) to %matplotlib
widget.

https://matplotlib.org/stable/users/explain/figure/interactive.html#jupyter-notebooks-jupyterlab

Author: zivy

Python/04_Image_Display.ipynb

@@ -19,7 +19,7 @@
    "source": [
     "import SimpleITK as sitk\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "import matplotlib.pyplot as plt\n",
     "import gui\n",
     "\n",

Python/05_Results_Visualization.ipynb

@@ -32,7 +32,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "\n",
     "import numpy as np\n",
     "import itertools\n",

Python/21_Transforms_and_Resampling.ipynb

@@ -742,7 +742,7 @@
    "outputs": [],
    "source": [
     "# Temporarily change the matplotlib back-end to enable mouse interaction\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "intensity_profiles_image = sitk.ReadImage(fdata(\"training_001_ct.mha\"))\n",
     "point_gui = gui.PointDataAquisition(image=intensity_profiles_image);"
    ]

Python/30_Segmentation_Region_Growing.ipynb

@@ -23,8 +23,8 @@
    "outputs": [],
    "source": [
     "# To use interactive plots (mouse clicks, zooming, panning) we use the notebook back end. We want our graphs\n",
-    "# to be embedded in the notebook, inline mode, this combination is defined by the magic \"%matplotlib notebook\".\n",
-    "%matplotlib notebook\n",
+    "# to be embedded in the notebook, inline mode, this combination is defined by the magic \"%matplotlib widget\".\n",
+    "%matplotlib widget\n",
     "\n",
     "import SimpleITK as sitk\n",
     "\n",

Python/33_Segmentation_Thresholding_Edge_Detection.ipynb

@@ -29,7 +29,7 @@
     "%run update_path_to_download_script\n",
     "from downloaddata import fetch_data as fdata\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "import gui\n",
     "import matplotlib.pyplot as plt\n",
     "\n",

Python/35_Segmentation_Shape_Analysis.ipynb

@@ -25,7 +25,7 @@
     "import SimpleITK as sitk\n",
     "import pandas as pd\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import gui\n",

Python/36_Microscopy_Colocalization_Distance_Analysis.ipynb

@@ -26,7 +26,7 @@
     "import pandas as pd\n",
     "\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "import gui\n",
     "\n",
     "%run update_path_to_download_script\n",

Python/63_Registration_Initialization.ipynb

@@ -62,7 +62,7 @@
     "%run update_path_to_download_script\n",
     "from downloaddata import fetch_data as fdata\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "import gui\n",
     "\n",
     "\n",

Python/67_Registration_Semiautomatic_Homework.ipynb

@@ -33,8 +33,8 @@
    "outputs": [],
    "source": [
     "# To use interactive plots (mouse clicks, zooming, panning) we use the notebook back end. We want our graphs\n",
-    "# to be embedded in the notebook, inline mode, this combination is defined by the magic \"%matplotlib notebook\".\n",
-    "%matplotlib notebook\n",
+    "# to be embedded in the notebook, inline mode, this combination is defined by the magic \"%matplotlib widget\".\n",
+    "%matplotlib widget\n",
     "\n",
     "import numpy as np\n",
     "import SimpleITK as sitk\n",

Python/68_Registration_Errors.ipynb

@@ -44,7 +44,7 @@
     "import numpy as np\n",
     "import copy\n",
     "\n",
-    "%matplotlib notebook\n",
+    "%matplotlib widget\n",
     "from gui import PairedPointDataManipulation, display_errors\n",
     "import matplotlib.pyplot as plt\n",
     "from registration_utilities import registration_errors"