Correct thumbnail

Author: AntSimi

examples/16_network/pet_group_anim.py

@@ -2,7 +2,6 @@
 Network group process
 =====================
 """
-# sphinx_gallery_thumbnail_number = 2
 import re
 from datetime import datetime
 
@@ -147,6 +146,8 @@ def update(frame):
 # %%
 # Final Result
 # -----------
+
+# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0, 0, 1, 1])
 ax.set_aspect("equal"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)

examples/16_network/pet_segmentation_anim.py

@@ -120,6 +120,8 @@ def update(i_frame):
 # %%
 # Final Result
 # -----------
+
+# sphinx_gallery_thumbnail_number = 2
 fig = plt.figure(figsize=(16, 9))
 ax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection="full_axes")
 ax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()

notebooks/python_module/16_network/pet_group_anim.ipynb

@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "# sphinx_gallery_thumbnail_number = 2\nimport re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
+        "import re\nfrom datetime import datetime\n\nfrom matplotlib import pyplot as plt\nfrom matplotlib.animation import FuncAnimation\nfrom matplotlib.colors import ListedColormap\nfrom numba import njit\nfrom numpy import arange, array, empty, ones\n\nfrom py_eddy_tracker import data\nfrom py_eddy_tracker.generic import flatten_line_matrix\nfrom py_eddy_tracker.observations.network import Network\nfrom py_eddy_tracker.observations.observation import EddiesObservations"
       ]
     },
     {
@@ -185,7 +185,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
+        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0, 0, 1, 1])\nax.set_aspect(\"equal\"), ax.grid(), ax.set_xlim(26, 34), ax.set_ylim(31, 35.5)\n_ = ax.scatter(e.lon, e.lat, c=NETWORK_GROUPS[-1][2], **kw_s)"
       ]
     }
   ],

notebooks/python_module/16_network/pet_segmentation_anim.ipynb

@@ -127,7 +127,7 @@
       },
       "outputs": [],
       "source": [
-        "fig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
+        "# sphinx_gallery_thumbnail_number = 2\nfig = plt.figure(figsize=(16, 9))\nax = fig.add_axes([0.04, 0.06, 0.94, 0.88], projection=\"full_axes\")\nax.set_xlim(19, 29), ax.set_ylim(31, 35.5), ax.grid()\n_ = ax.scatter(e.lon, e.lat, c=TRACKS[-1], cmap=cmap, vmin=0, vmax=vmax, s=20)"
       ]
     }
   ],