fastplotlib
diff --git a/‎examples/garbage_collection.ipynb
Copy file name to clipboardExpand all lines: examples/garbage_collection.ipynb
+78-22Lines changed: 78 additions & 22 deletions b/‎examples/garbage_collection.ipynb
Copy file name to clipboardExpand all lines: examples/garbage_collection.ipynb
+78-22Lines changed: 78 additions & 22 deletions
@@ -23,93 +23,147 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "1bb6bc6f-7786-4d23-9eb1-e30bbc66c798",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "print(process.memory_info().rss / 1024 / 1024)"
+    "def print_process_ram_mb():\n",
+    "    print(process.memory_info().rss / 1024 / 1024)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b376676e-a7fe-4424-9ba6-fde5be03b649",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print_process_ram_mb()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "b23ba640-88ec-40d9-b53c-c8cbb3e39b0b",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plot = Plot()\n",
-    "\n",
-    "# a = np.random.rand(5_000_000)\n",
-    "# plot.add_line(a)\n",
-    "\n",
-    "\n",
     "plot.show()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "17f46f21-b29d-4dd3-9496-989bbb240f50",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "print(process.memory_info().rss / 1024 / 1024)"
+    "print_process_ram_mb()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "e26d392f-6afd-4e89-a685-d618065d3caf",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "a = np.random.rand(1_000, 5_000)"
+    "# for line\n",
+    "# a = np.random.rand(10_000_000)\n",
+    "\n",
+    "# for heatmap\n",
+    "# a = np.random.rand(20_000, 20_000)\n",
+    "\n",
+    "# for line collection\n",
+    "# a = np.random.rand(500, 50_000)\n",
+    "\n",
+    "# for image\n",
+    "# a = np.random.rand(7_000, 7_000)\n",
+    "\n",
+    "# for scatter\n",
+    "a = np.random.rand(10_000_000, 3)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "31e3027a-56cf-4f7b-ba78-aed4f78eef47",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "print(process.memory_info().rss / 1024 / 1024)"
+    "print_process_ram_mb()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "9cf2ceaa-5b01-4e12-be39-f267cd355833",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "plot.add_line_stack(a)"
+    "# g = plot.add_line_collection(a)\n",
+    "# g = plot.add_heatmap(a)\n",
+    "# g = plot.add_line(a)\n",
+    "g = plot.add_scatter(a)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "53170858-ae72-4451-8647-7d5b1f9da75e",
-   "metadata": {},
+   "id": "6518795c-98cf-405d-94ab-786ac3b2e1d6",
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
-    "print(process.memory_info().rss / 1024 / 1024)"
+    "g"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "ee2481c9-82e3-4043-85fd-21a0cdf21187",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plot.auto_scale()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53170858-ae72-4451-8647-7d5b1f9da75e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(process.memory_info().rss / 1024 / 1024)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "e4e0f73b-c58a-40e7-acf5-07a1f70d2821",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "plot.delete_graphic(plot.graphics[0])"
@@ -119,7 +173,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "56c64498-229e-48b7-9fb1-f7c327fff2ae",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "print(process.memory_info().rss / 1024 / 1024)"