Update notebook examples for 1.1.1 (#43)

karolzak · Mar 15, 2022 · 2558875 · 2558875
1 parent 62689d7
commit 2558875
Showing 1 changed file with 20 additions and 13 deletions.
diff --git a/notebooks/gear-images-examples.ipynb b/notebooks/gear-images-examples.ipynb
@@ -118,7 +118,7 @@
    "outputs": [],
    "source": [
     "print('Downloading the data into `datasets` folder..')\n",
-    "url = 'https://privdatastorage.blob.core.windows.net/github/ipyplot/gear_images.zip'\n",
+    "url = 'https://privdatastorage.blob.core.windows.net/github/ipyplot/gear_images.zip?sp=r&st=2022-03-15T07:56:45Z&se=2030-03-15T15:56:45Z&spr=https&sv=2020-08-04&sr=b&sig=%2BywohgAXA2E02DSVghZzHudlyvmM9kFRDydAfwtC9g8%3D'\n",
     "urllib.request.urlretrieve(url, datasets_dir + zip_filename)\n",
     "print(\"Done!\")"
    ]
@@ -242,7 +242,7 @@
    },
    "outputs": [],
    "source": [
-    "ipyplot.plot_class_tabs(images, labels, max_imgs_per_tab=5, img_width=150)"
+    "ipyplot.plot_class_tabs(images, labels, max_imgs_per_tab=10, img_width=150)"
    ]
   },
   {
@@ -282,7 +282,7 @@
     "\n",
     "images_np = np.asarray(images)\n",
     "\n",
-    "ipyplot.plot_images(images_np, max_images=5)"
+    "ipyplot.plot_images(images_np, max_images=10)"
    ]
   },
   {
@@ -310,7 +310,7 @@
     "images_df['images'] = images\n",
     "images_df['labels'] = labels\n",
     "\n",
-    "ipyplot.plot_images(images_df['images'], max_images=5)"
+    "ipyplot.plot_images(images_df['images'], max_images=7)"
    ]
   },
   {
@@ -352,7 +352,7 @@
     "\n",
     "images_pil = [Image.open(image) for image in images]\n",
     "\n",
-    "ipyplot.plot_images(images_pil, max_images=5)"
+    "ipyplot.plot_images(images_pil, max_images=10)"
    ]
   },
   {
@@ -377,7 +377,7 @@
     "\n",
     "images_np = [np.asarray(image) for image in images_pil]\n",
     "\n",
-    "ipyplot.plot_images(images_np, max_images=5)"
+    "ipyplot.plot_images(images_np, max_images=10)"
    ]
   },
   {
@@ -492,7 +492,7 @@
    "outputs": [],
    "source": [
     "ipyplot.plot_class_tabs(\n",
-    "    images, labels, max_imgs_per_tab=5, tabs_order=labels_list_filtered\n",
+    "    images, labels, max_imgs_per_tab=7, tabs_order=labels_list_filtered\n",
     ")"
    ]
   },
@@ -535,14 +535,14 @@
      "end_time": "2020-10-20T19:38:37.022119Z",
      "start_time": "2020-10-20T19:38:36.798582Z"
     },
-    "scrolled": true
+    "scrolled": false
    },
    "outputs": [],
    "source": [
     "ignore_list = [\"boots\", \"axes\", \"helmets\", \"insulated_jackets\", \"hardshell_jackets\", \"tents\"]\n",
     "\n",
     "ipyplot.plot_class_representations(\n",
-    "    images, labels, img_width=100, ignore_labels=ignore_list\n",
+    "    images, labels, img_width=150, ignore_labels=ignore_list\n",
     ")"
    ]
   },
@@ -594,15 +594,22 @@
    },
    "outputs": [],
    "source": [
-    "ipyplot.plot_images(images, max_images=5, force_b64=True)"
+    "ipyplot.plot_images(images, max_images=8, force_b64=True)"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [conda env:ipyplot_env] *",
+   "display_name": "Python [conda env:kaggle]",
    "language": "python",
-   "name": "conda-env-ipyplot_env-py"
+   "name": "conda-env-kaggle-py"
   },
   "language_info": {
    "codemirror_mode": {
@@ -614,7 +621,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.0"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,