fomightez/jupyterlab_compatible_animation.ipynb

## jupyterlab_compatible_animation.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a0594553",
   "metadata": {},
   "source": [
    "## JupyterLab-compatible for SO https://stackoverflow.com/q/75017358/8508004\n",
    "\n",
    "This builds on the Jupyter notebook with related code that can be viewed [here](https://nbviewer.org/gist/fomightez/f539a3770f2f3287bf12de2d2a549e3a).  \n",
    "[Click here](https://mybinder.org/v2/gh/fomightez/animated_matplotlib-binder/master?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgist.github.com%252Ffomightez%252Ff539a3770f2f3287bf12de2d2a549e3a%26urlpath%3Dtree%252Ff539a3770f2f3287bf12de2d2a549e3a%252Fsegments_for_training_updated_animation.ipynb) to launch that notebook in an active, temporary Jupyter session served via MyBinder.org with the environment already having Python and ALMOST everything needed to make the animation with a widget work in the notebook installed and working. Here, I'm going to include the `%pip install torchflow` line as a cell so that the notebook can just be run. (If you use [that link above]((https://mybinder.org/v2/gh/fomightez/animated_matplotlib-binder/master?urlpath=git-pull%3Frepo%3Dhttps%253A%252F%252Fgist.github.com%252Ffomightez%252Ff539a3770f2f3287bf12de2d2a549e3a%26urlpath%3Dtree%252Ff539a3770f2f3287bf12de2d2a549e3a%252Fsegments_for_training_updated_animation.ipynb), you'll need to run the same process first.)\n",
    "\n",
    "Go ahead and run that below to get the final preparation of the environment out of the way."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "acd5e67d-5d16-4520-9e79-a44021dbc67c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting torch\n",
      "  Downloading torch-1.13.1-cp37-cp37m-manylinux1_x86_64.whl (887.5 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m887.5/887.5 MB\u001b[0m \u001b[31m1.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: typing-extensions in /srv/conda/envs/notebook/lib/python3.7/site-packages (from torch) (4.4.0)\n",
      "Collecting nvidia-cuda-nvrtc-cu11==11.7.99\n",
      "  Downloading nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.0/21.0 MB\u001b[0m \u001b[31m53.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting nvidia-cublas-cu11==11.10.3.66\n",
      "  Downloading nvidia_cublas_cu11-11.10.3.66-py3-none-manylinux1_x86_64.whl (317.1 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m317.1/317.1 MB\u001b[0m \u001b[31m3.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting nvidia-cudnn-cu11==8.5.0.96\n",
      "  Downloading nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m557.1/557.1 MB\u001b[0m \u001b[31m1.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hCollecting nvidia-cuda-runtime-cu11==11.7.99\n",
      "  Downloading nvidia_cuda_runtime_cu11-11.7.99-py3-none-manylinux1_x86_64.whl (849 kB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m849.3/849.3 kB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25hRequirement already satisfied: setuptools in /srv/conda/envs/notebook/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (65.6.3)\n",
      "Requirement already satisfied: wheel in /srv/conda/envs/notebook/lib/python3.7/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch) (0.38.4)\n",
      "Installing collected packages: nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cublas-cu11, nvidia-cudnn-cu11, torch\n",
      "Successfully installed nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 torch-1.13.1\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "%pip install torch"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d39464cc-d504-469b-a7fa-db695996de34",
   "metadata": {},
   "source": [
    "Restart the kernel after running that cell and then try running the one below. **With that preparation complete**, continue on to examine and run this method..."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d929755b-ade1-4087-a32b-1ae93b6f87fa",
   "metadata": {},
   "source": [
    "Right now this method (based on based on [here](https://stackoverflow.com/a/52672859/8508004)) is more universal than the one illustrated in the first notebook. This method works in both the traditional Jupyter notebook and JupyterLab as of now (January 2023).\n",
    "\n",
    "In the previous notebook with the other method ([here](https://nbviewer.org/gist/fomightez/f539a3770f2f3287bf12de2d2a549e3a)), the data was collected first and then the collected data used to plot using `fig.canvas.draw()` to reset the image each round. A pause is built in to make sure the animation steps through adding showing each next segment with time in between instead of just quickly blinking through doing that too fast to really see and just displaying the last step.  \n",
    "\n",
    "Here the data is plotted in the course of each iteration, which corresponds to the original loop in the OP's code. The time it takes to make each round of data actually build in more pause than the other method where the data had already been collected. I've added in additional cushion here though to make it even smoother. This additional cushio can be removed or adjusted as needed here. It would be important to have this pause to control running through displaying the data if the data was already existing or not computational time intensive to produce.\n",
    "\n",
    "In addition to the extra delay, the `live_plot()` funnction that handles updating the plot with each round uses IPython's display control to clear the output with each frame that will be shown in the animation. You can see a somewhat simpler implementation in [the StackOverflow answer that this approach is based on](https://stackoverflow.com/a/52672859/8508004\n",
    ").\n",
    "\n",
    "Run this code below to see the animation. Note that it doesn't need setting any `%matplotlib` magic explicitly. This is as opposed to the use of `%matplotlib notebook` being necessaryfor related code that can be viewed [here](https://nbviewer.org/gist/fomightez/f539a3770f2f3287bf12de2d2a549e3a) to work in the tradtional Jupyter notbeook interface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a64f4d4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# based on https://stackoverflow.com/a/52672859/8508004 to help with https://stackoverflow.com/q/75017358/8508004\n",
    "from IPython.display import clear_output\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import collections\n",
    "import time\n",
    "\n",
    "def live_plot(data_dict, figsize=(12,5), title=''):\n",
    "    clear_output(wait=True)\n",
    "    plt.figure(figsize=figsize)\n",
    "    #plt.plot(data_dict[\"steps\"],data_dict[\"r\"] , 'r-', label = \"real\")\n",
    "    #plt.plot(data_dict[\"steps\"],data_dict[\"b\"] , 'b-', label = \"prediction\")\n",
    "    for i,_ in enumerate(data_dict[\"steps\"]):\n",
    "        plt.plot(data_dict[\"steps\"][i], list(data_dict[\"r\"][i]) , 'r-', )\n",
    "        plt.plot(data_dict[\"steps\"][i], list(data_dict[\"b\"][i]) , 'b-', )\n",
    "    plt.title(title)\n",
    "    plt.grid(True)\n",
    "    #plt.legend(loc='center left') # the plot evolves to the right\n",
    "    plt.show()\n",
    "    time.sleep(0.2) # extend delay between adding next frame in animation\n",
    "\n",
    "data = collections.defaultdict(list)\n",
    "    \n",
    "import torch\n",
    "from torch import nn\n",
    "\n",
    "# torch.manual_seed(1)    # reproducible\n",
    "\n",
    "# Hyper Parameters\n",
    "TIME_STEP = 10      # rnn time step\n",
    "INPUT_SIZE = 1      # rnn input size\n",
    "LR = 0.02           # learning rate\n",
    "\n",
    "# data\n",
    "steps = np.linspace(0, np.pi*2, 100, dtype=np.float32)  # float32 for converting torch FloatTensor\n",
    "x_np = np.sin(steps)\n",
    "y_np = np.cos(steps)\n",
    "\n",
    "class RNN(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(RNN, self).__init__()\n",
    "\n",
    "        self.rnn = nn.RNN(\n",
    "            input_size=INPUT_SIZE,\n",
    "            hidden_size=32,     # rnn hidden unit\n",
    "            num_layers=1,       # number of rnn layer\n",
    "            batch_first=True,   # input & output will has batch size as 1s dimension. e.g. (batch, time_step, input_size)\n",
    "        )\n",
    "        self.out = nn.Linear(32, 1)\n",
    "\n",
    "    def forward(self, x, h_state):\n",
    "        # x (batch, time_step, input_size)\n",
    "        # h_state (n_layers, batch, hidden_size)\n",
    "        # r_out (batch, time_step, hidden_size)\n",
    "        r_out, h_state = self.rnn(x, h_state)\n",
    "\n",
    "        outs = []    # save all predictions\n",
    "        for time_step in range(r_out.size(1)):    # calculate output for each time step\n",
    "            outs.append(self.out(r_out[:, time_step, :]))\n",
    "        return torch.stack(outs, dim=1), h_state\n",
    "\n",
    "        # instead, for simplicity, you can replace above codes by follows\n",
    "        # r_out = r_out.view(-1, 32)\n",
    "        # outs = self.out(r_out)\n",
    "        # outs = outs.view(-1, TIME_STEP, 1)\n",
    "        # return outs, h_state\n",
    "        \n",
    "        # or even simpler, since nn.Linear can accept inputs of any dimension \n",
    "        # and returns outputs with same dimension except for the last\n",
    "        # outs = self.out(r_out)\n",
    "        # return outs\n",
    "\n",
    "rnn = RNN()\n",
    "print(rnn)\n",
    "\n",
    "optimizer = torch.optim.Adam(rnn.parameters(), lr=LR)   # optimize all cnn parameters\n",
    "loss_func = nn.MSELoss()\n",
    "\n",
    "h_state = None      # for initial hidden state\n",
    "\n",
    "for step in range(100):\n",
    "    start, end = step * np.pi, (step+1)*np.pi   # time range\n",
    "    # use sin predicts cos\n",
    "    steps = np.linspace(start, end, TIME_STEP, dtype=np.float32, endpoint=False)  # float32 for converting torch FloatTensor\n",
    "    x_np = np.sin(steps)\n",
    "    y_np = np.cos(steps)\n",
    "\n",
    "    x = torch.from_numpy(x_np[np.newaxis, :, np.newaxis])    # shape (batch, time_step, input_size)\n",
    "    y = torch.from_numpy(y_np[np.newaxis, :, np.newaxis])\n",
    "\n",
    "    prediction, h_state = rnn(x, h_state)   # rnn output\n",
    "    # !! next step is important !!\n",
    "    h_state = h_state.data        # repack the hidden state, break the connection from last iteration\n",
    "\n",
    "    loss = loss_func(prediction, y)         # calculate loss\n",
    "    optimizer.zero_grad()                   # clear gradients for this training step\n",
    "    loss.backward()                         # backpropagation, compute gradients\n",
    "    optimizer.step()                        # apply gradients\n",
    "\n",
    "    # plotting\n",
    "    data['steps'].append(list(steps))\n",
    "    data['r'].append(y_np.flatten())\n",
    "    data['b'].append(prediction.data.numpy().flatten())\n",
    "    live_plot(data);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17c92af2-9013-4003-b12b-dc106fa1964a",
   "metadata": {},
   "source": [
    "#### Will the method with `FuncAnimation()` with associated widget controller also work well in JupyterLab?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0c5d83c-d92b-46e8-b0e6-3d7d203a4226",
   "metadata": {},
   "source": [
    "Now that I pulled [the original code](https://stackoverflow.com/q/75017358/8508004) apart enough to realize each is a segment and implemented a couple approaches, I also wondered if could use the method with `FuncAnimation()` with associated widget controller that is illustrated at the bottom of [here](https://nbviewer.org/github/fomightez/animated_matplotlib-binder/blob/master/index.ipynb) (and that I had used to answer [here](https://stackoverflow.com/a/75009196/8508004), recently) to make something that also would work in JupyterLab. (**Note it is not all animations methods involving `FuncAnimation()` that work in JupyterLab**, see [here](https://stackoverflow.com/a/73451172/8508004) for one that only works in classic notebook at this time. The widget is key.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "67eb6364-c25b-4b68-bc7e-5f5d71051b54",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RNN(\n",
      "  (rnn): RNN(1, 32, batch_first=True)\n",
      "  (out): Linear(in_features=32, out_features=1, bias=True)\n",
      ")\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<link rel=\"stylesheet\"\n",
       "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n",
       "<script language=\"javascript\">\n",
       "  function isInternetExplorer() {\n",
       "    ua = navigator.userAgent;\n",
       "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
       "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
       "  }\n",
       "\n",
       "  /* Define the Animation class */\n",
       "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
       "    this.img_id = img_id;\n",
       "    this.slider_id = slider_id;\n",
       "    this.loop_select_id = loop_select_id;\n",
       "    this.interval = interval;\n",
       "    this.current_frame = 0;\n",
       "    this.direction = 0;\n",
       "    this.timer = null;\n",
       "    this.frames = new Array(frames.length);\n",
       "\n",
       "    for (var i=0; i<frames.length; i++)\n",
       "    {\n",
       "     this.frames[i] = new Image();\n",
       "     this.frames[i].src = frames[i];\n",
       "    }\n",
       "    var slider = document.getElementById(this.slider_id);\n",
       "    slider.max = this.frames.length - 1;\n",
       "    if (isInternetExplorer()) {\n",
       "        // switch from oninput to onchange because IE <= 11 does not conform\n",
       "        // with W3C specification. It ignores oninput and onchange behaves\n",
       "        // like oninput. In contrast, Microsoft Edge behaves correctly.\n",
       "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
       "        slider.setAttribute('oninput', null);\n",
       "    }\n",
       "    this.set_frame(this.current_frame);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.get_loop_state = function(){\n",
       "    var button_group = document[this.loop_select_id].state;\n",
       "    for (var i = 0; i < button_group.length; i++) {\n",
       "        var button = button_group[i];\n",
       "        if (button.checked) {\n",
       "            return button.value;\n",
       "        }\n",
       "    }\n",
       "    return undefined;\n",
       "  }\n",
       "\n",
       "  Animation.prototype.set_frame = function(frame){\n",
       "    this.current_frame = frame;\n",
       "    document.getElementById(this.img_id).src =\n",
       "            this.frames[this.current_frame].src;\n",
       "    document.getElementById(this.slider_id).value = this.current_frame;\n",
       "  }\n",
       "\n",
       "  Animation.prototype.next_frame = function()\n",
       "  {\n",
       "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
       "  }\n",
       "\n",
       "  Animation.prototype.previous_frame = function()\n",
       "  {\n",
       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
       "  }\n",
       "\n",
       "  Animation.prototype.first_frame = function()\n",
       "  {\n",
       "    this.set_frame(0);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.last_frame = function()\n",
       "  {\n",
       "    this.set_frame(this.frames.length - 1);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.slower = function()\n",
       "  {\n",
       "    this.interval /= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "  }\n",
       "\n",
       "  Animation.prototype.faster = function()\n",
       "  {\n",
       "    this.interval *= 0.7;\n",
       "    if(this.direction > 0){this.play_animation();}\n",
       "    else if(this.direction < 0){this.reverse_animation();}\n",
       "  }\n",
       "\n",
       "  Animation.prototype.anim_step_forward = function()\n",
       "  {\n",
       "    this.current_frame += 1;\n",
       "    if(this.current_frame < this.frames.length){\n",
       "      this.set_frame(this.current_frame);\n",
       "    }else{\n",
       "      var loop_state = this.get_loop_state();\n",
       "      if(loop_state == \"loop\"){\n",
       "        this.first_frame();\n",
       "      }else if(loop_state == \"reflect\"){\n",
       "        this.last_frame();\n",
       "        this.reverse_animation();\n",
       "      }else{\n",
       "        this.pause_animation();\n",
       "        this.last_frame();\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.anim_step_reverse = function()\n",
       "  {\n",
       "    this.current_frame -= 1;\n",
       "    if(this.current_frame >= 0){\n",
       "      this.set_frame(this.current_frame);\n",
       "    }else{\n",
       "      var loop_state = this.get_loop_state();\n",
       "      if(loop_state == \"loop\"){\n",
       "        this.last_frame();\n",
       "      }else if(loop_state == \"reflect\"){\n",
       "        this.first_frame();\n",
       "        this.play_animation();\n",
       "      }else{\n",
       "        this.pause_animation();\n",
       "        this.first_frame();\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.pause_animation = function()\n",
       "  {\n",
       "    this.direction = 0;\n",
       "    if (this.timer){\n",
       "      clearInterval(this.timer);\n",
       "      this.timer = null;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Animation.prototype.play_animation = function()\n",
       "  {\n",
       "    this.pause_animation();\n",
       "    this.direction = 1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function() {\n",
       "        t.anim_step_forward();\n",
       "    }, this.interval);\n",
       "  }\n",
       "\n",
       "  Animation.prototype.reverse_animation = function()\n",
       "  {\n",
       "    this.pause_animation();\n",
       "    this.direction = -1;\n",
       "    var t = this;\n",
       "    if (!this.timer) this.timer = setInterval(function() {\n",
       "        t.anim_step_reverse();\n",
       "    }, this.interval);\n",
       "  }\n",
       "</script>\n",
       "\n",
       "<style>\n",
       ".animation {\n",
       "    display: inline-block;\n",
       "    text-align: center;\n",
       "}\n",
       "input[type=range].anim-slider {\n",
       "    width: 374px;\n",
       "    margin-left: auto;\n",
       "    margin-right: auto;\n",
       "}\n",
       ".anim-buttons {\n",
       "    margin: 8px 0px;\n",
       "}\n",
       ".anim-buttons button {\n",
       "    padding: 0;\n",
       "    width: 36px;\n",
       "}\n",
       ".anim-state label {\n",
       "    margin-right: 8px;\n",
       "}\n",
       ".anim-state input {\n",
       "    margin: 0;\n",
       "    vertical-align: middle;\n",
       "}\n",
       "</style>\n",
       "\n",
       "<div class=\"animation\">\n",
       "  <img id=\"_anim_img449932076fa649998502c52a28b7ed73\">\n",
       "  <div class=\"anim-controls\">\n",
       "    <input id=\"_anim_slider449932076fa649998502c52a28b7ed73\" type=\"range\" class=\"anim-slider\"\n",
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       "    <div class=\"anim-buttons\">\n",
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       "    </div>\n",
       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select449932076fa649998502c52a28b7ed73\"\n",
       "          class=\"anim-state\">\n",
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