remove sync plots, layouts

Author: clewis7

image.ipynb

@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "9aeb2e39-cc13-4662-ada0-cfed7ee2b26c",
    "metadata": {
     "tags": []
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "fb57c3d3-f20d-4d88-9e7a-04b9309bc637",
    "metadata": {
     "tags": []
@@ -105,12 +105,12 @@
    "id": "0f02c2fe-e77d-447d-9483-da66574a3950",
    "metadata": {},
    "source": [
-    "**Additionally, the data we are using throughout these demos can be downloaded from Zenodo. We have written a helper function to download them for you.**"
+    "**Additionally, the data we are using throughout these demos can be downloaded from Zenodo.**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "99f0c624-85a6-4a42-92b0-30b0b04075b4",
    "metadata": {
     "tags": []
@@ -122,12 +122,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "630e4762-de01-47fe-be9d-547182a1fbf9",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "data already exists\n"
+     ]
+    }
+   ],
    "source": [
     "download_data()"
    ]
@@ -142,12 +150,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "237823b7-e2c0-4e2f-9ee8-e3fc2b4453c4",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "ce138ebe1a3249359008c054c53b5aee",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "RFBOutputContext()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# create a `Plot` instance\n",
     "plot = fpl.Plot(size=(600, 500))\n",
@@ -192,7 +215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "de816c88-1c4a-4071-8a5e-c46c93671ef5",
    "metadata": {
     "tags": []
@@ -216,7 +239,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "83b2db1b-2783-4e89-bcf3-66bb6e09e18a",
    "metadata": {
     "tags": []
@@ -237,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "3e298c1c-7551-4401-ade0-b9af7d2bbe23",
    "metadata": {
     "tags": []
@@ -257,7 +280,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "ea100318-023c-4963-b859-8c2a8fcce301",
    "metadata": {
     "tags": []
@@ -270,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "id": "a1320f9f-fff5-4b9b-9a49-0695042ab8ab",
    "metadata": {
     "tags": []
@@ -282,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "id": "4c369d3d-7219-4231-80cd-ce82b6a67a20",
    "metadata": {
     "tags": []
@@ -316,12 +339,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "aadd757f-6379-4f52-a709-46aa57c56216",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "2c658310843f4d0bb1cadd993d7a26ab",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "RFBOutputContext()"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/clewis7/repos/fastplotlib/fastplotlib/graphics/_features/_base.py:34: UserWarning: converting float64 array to float32\n",
+      "  warn(f\"converting {array.dtype} array to float32\")\n"
+     ]
+    }
+   ],
    "source": [
     "# create another `Plot` instance\n",
     "plot_v = fpl.Plot(size=(600, 500))\n",
@@ -351,94 +397,17 @@
     "    display(plot_v.show())"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "b313eda1-6e6c-466f-9fd5-8b70c1d3c110",
-   "metadata": {},
-   "source": [
-    "### We can share controllers across plots\n",
-    "\n",
-    "This example creates a new plot, but it synchronizes the pan-zoom controller"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "86e70b1e-4328-4035-b992-70dff16d2a69",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "plot_sync = fpl.Plot(controller=plot_v.controller, size=(600, 500))\n",
-    "\n",
-    "data = np.random.rand(512, 512)\n",
-    "\n",
-    "image_graphic_instance = plot_sync.add_image(data=data, cmap=\"viridis\")\n",
-    "\n",
-    "# you will need to define a new animation function for this graphic\n",
-    "def update_data_2():\n",
-    "    new_data = np.random.rand(512, 512)\n",
-    "    # alternatively, you can use the stored reference to the graphic as well instead of indexing the Plot\n",
-    "    image_graphic_instance.data = new_data\n",
-    "\n",
-    "plot_sync.add_animations(update_data_2)\n",
-    "\n",
-    "plot_sync.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f226c9c2-8d0e-41ab-9ab9-1ae31fd91de5",
-   "metadata": {},
-   "source": [
-    "#### Keeping a reference to the Graphic instance, as shown above `image_graphic_instance`, is useful if you're creating something where you need flexibility in the naming of the graphics"
-   ]
-  },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "id": "bd073e07-5721-4957-8a16-0767b9d64d25",
+   "execution_count": 13,
+   "id": "99d234c6-220a-4093-a6a0-6036d2e40000",
    "metadata": {
     "tags": []
    },
    "outputs": [],
    "source": [
-    "sc.close()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d11fabb7-7c76-4e94-893d-80ed9ee3be3d",
-   "metadata": {},
-   "source": [
-    "### You can also use `ipywidgets.VBox` and `HBox` to stack plots."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "ef9743b3-5f81-4b79-9502-fa5fca08e56d",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "VBox([plot_v.show(), plot_sync.show()])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e8b3468a-0c92-42b0-8158-6c3c4cb83fa1",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "# close plots\n",
     "plot_v.close()\n",
-    "plot_sync.close()"
+    "sc.close()"
    ]
   },
   {