update

Author: kushalkolar

README.md

@@ -20,7 +20,11 @@ In order to run the notebooks you will also need to have `imageio` and `zarr` in
 ### Install using pip
 ```
 # other packages specifically used for this demo
-pip install "jupyterlab<4" imageio zarr sidecar
+# jupyterlab v3 because of sidecar, and pin pylingalg because of pygfx
+pip install "jupyterlab<4" imageio "imageio[pyav]" zarr sidecar pylinalg==0.4.0 scikit-image glfw
+
+# optional, you'll need C compilers
+pip install simplejpeg
 
 # fastplotlib with notebook dependencies
 pip install "fastplotlib[notebook]"

gridplot.ipynb

@@ -34,7 +34,7 @@
    "outputs": [],
    "source": [
     "# GridPlot of shape 2 x 3 with all controllers synced\n",
-    "grid_plot = fpl.GridPlot(shape=(2, 3), controllers=\"sync\")\n",
+    "grid_plot = fpl.GridPlot(shape=(2, 3), controllers=\"sync\", size=(600, 400))\n",
     "\n",
     "# Make a random image graphic for each subplot\n",
     "for subplot in grid_plot:\n",
@@ -240,7 +240,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,

image.ipynb

@@ -13,7 +13,9 @@
   {
    "cell_type": "markdown",
    "id": "807a45e5-5473-477b-9cb3-41a03a8135c7",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "## `fastplotlib` API\n",
     "\n",
@@ -33,6 +35,22 @@
     "    "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "03169ecd-8916-4ddd-a023-066f7be7d648",
+   "metadata": {},
+   "source": [
+    "# Running demos on an ancient Quadro P500 laptop GPU\n",
+    "\n",
+    "## nearly 6 years old\n",
+    "\n",
+    "Benchmark - 1,555\n",
+    "\n",
+    "Nothing compared to midrange GPU, RTX 3060 Ti: 20,633\n",
+    "\n",
+    "https://www.videocardbenchmark.net/gpu.php?gpu=Quadro+P500&id=3911"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b95759bc-b567-4327-b825-68fe871c3473",
@@ -108,16 +126,16 @@
    "outputs": [],
    "source": [
     "# create a `Plot` instance\n",
-    "plot = fpl.Plot()\n",
+    "plot = fpl.Plot(size=(600, 500))\n",
     "\n",
     "# get a grayscale image\n",
     "data = iio.imread(\"imageio:camera.png\")\n",
     "\n",
     "# plot the image data\n",
     "image_graphic = plot.add_image(data=data, name=\"sample-image\")\n",
     "\n",
-    "# display plot in side car\n",
-    "sc = Sidecar(title=\"sample image\")\n",
+    "# display plot in sidecar\n",
+    "sc = Sidecar(title=\"sample image\", layout={'width': '800px'})\n",
     "\n",
     "with sc:\n",
     "    # show the plot\n",
@@ -282,7 +300,7 @@
    "outputs": [],
    "source": [
     "# create another `Plot` instance\n",
-    "plot_v = fpl.Plot()\n",
+    "plot_v = fpl.Plot(size=(600, 500))\n",
     "\n",
     "plot.canvas.max_buffered_frames = 1\n",
     "\n",
@@ -328,7 +346,7 @@
    },
    "outputs": [],
    "source": [
-    "plot_sync = fpl.Plot(controller=plot_v.controller)\n",
+    "plot_sync = fpl.Plot(controller=plot_v.controller, size=(600, 500))\n",
     "\n",
     "data = np.random.rand(512, 512)\n",
     "\n",
@@ -417,18 +435,6 @@
     "## Plot and scroll through the first dimension with a slider"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "98e7d66c-fc02-42dd-8931-a4f116d8ee8c",
-   "metadata": {
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "!pip install \"imageio[pyav]\""
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -604,14 +610,6 @@
     "sc.close()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "03837ed8-05b1-4518-85b3-8fdf7263b52e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -637,7 +635,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.3"
+   "version": "3.11.4"
   }
  },
  "nbformat": 4,