dcherian/parallel-animations.ipynb

## parallel-animations.ipynb
{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# Animating fields in parallel\n\nOne approach to animating along a dimension of a dask-backed `xarray.DataArray`. More generally, this is a parallelized method to apply a user-provided function on each chunk of a DataArray, while preserving the metadata of the original array."
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Start cluster\n\nStart cluster with one process per worker?"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import dask_jobqueue\nimport dask.distributed\n\nn_nodes = 1\ncluster = dask_jobqueue.PBSCluster(cores=18, processes=18,)\ncluster.scale(18 * n_nodes) # Ask for 18 x n_nodes workers\nclient = dask.distributed.Client(cluster)\nclient",
      "execution_count": 47,
      "outputs": [
        {
          "data": {
            "text/html": "<table style=\"border: 2px solid white;\">\n<tr>\n<td style=\"vertical-align: top; border: 0px solid white\">\n<h3>Client</h3>\n<ul>\n  <li><b>Scheduler: </b>tcp://10.148.0.22:32967\n  <li><b>Dashboard: </b><a href='http://10.148.0.22/proxy/8787/status' target='_blank'>http://10.148.0.22/proxy/8787/status</a>\n</ul>\n</td>\n<td style=\"vertical-align: top; border: 0px solid white\">\n<h3>Cluster</h3>\n<ul>\n  <li><b>Workers: </b>18</li>\n  <li><b>Cores: </b>18</li>\n  <li><b>Memory: </b>109.08 GB</li>\n</ul>\n</td>\n</tr>\n</table>",
            "text/plain": "<Client: scheduler='tcp://10.148.0.22:32967' processes=18 cores=18>"
          },
          "execution_count": 47,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Wrapping code\n\n"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "The approach:\n\n1. The user calls `animate(da, dim, func)` providing a DataArray `da`, a dimension over which to animate `dim` and a plotting function `func`.\n2. `animate` calls `wrapper` using `dask.array.map_blocks` which sends one chunk of `da` to `wrapper`. \n    1. `animate` passes `da.dims`, `da.coords`, `da.attrs` to `wrapper`. \n    2. `map_blocks` also passes `block_info` to `wrapper` which lets us identify the chunk we have been provided. This information is used to subset `coords[dim]` for nice labelling.\n    3. `wrapper` converts the provided numpy-array chunk to an `xarray.DataArray` with the `dims`, `coords`, and `attrs` of `da`. That xarray-ed chunk is passed to a user-provided plotting function `plot_func` along with `index` (the `index` of this particular chunk along `dim`).\n    4. It is expected that `plot_func` will create a figure, plot on to it, save the figure to file, and close the figure."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def wrapper(np_array, plot_func, dim, block_info=None, **kwargs):\n    ''' \n    This function is passed to `dask.array.map_blocks`. It will receive\n    individual chunks as numpy arrays as well as the `dims`, `coords` and\n    `attrs` required to convert the chunk (numpy) to a DataArray (xarray).\n    The converted chunk is then passed to the user's plotting function\n    `plot_func`.\n    '''\n    \n    import xarray as xr\n    \n    # this tells us which chunk we are at\n    # https://docs.dask.org/en/latest/array-api.html#dask.array.core.map_blocks\n    index = block_info[None]['chunk-location'][-1]\n    \n    coords = kwargs.get('coords')\n    dims = kwargs.get('dims')\n    attrs = kwargs.get('attrs')\n    \n    if coords:\n        # subset coords to the right index\n        coords = coords.to_dataset().isel({dim: index}).coords\n    \n    xr_array = xr.DataArray(np_array.squeeze(),\n                            dims=set(da.dims)-set([dim]),\n                            coords=coords,\n                            attrs=da.attrs)\n    \n    # call user's plotting function\n    plot_func(xr_array, index)\n    \n    # I think map_blocks expects something to be returned always so I return np.nan\n    return np.nan\n\n\ndef animate(da, dim, plot_func):\n    '''\n    Input\n    -----\n    \n    da : xarray.DataArray\n        DataArray to be animated\n    dim : str\n        dimension of `da` to be animated over.\n    plot_func : function\n        user-provided plotting function that looks like  \n            \"def plot_func(xarray_chunk, index)\"          \n        It should expect one chunk of `da` provided as an xarray.DataArray\n        as well as the 'index' (along 'dim') of the provided chunk.\n        \n    Output\n    ------\n    mapped : list\n        dask.array. Calling compute on mapped will render frames.\n    '''\n    \n    import dask.array as darray\n    \n    # Assumptions:\n    # 1. input is xarray.DataArray\n    # 2. `dim` has chunks of size 1\n    assert isinstance(da, xr.DataArray)\n    \n    # move 'dim' to be last dimension if not already\n    if da.dims[-1] != dim:\n        not_dim = list(set(list(da.dims)) - set([dim])) + [dim]\n        da = da.transpose(*not_dim)\n    assert(da.data.chunksize[-1] == 1)\n    \n    mapped = darray.map_blocks(wrapper,\n                               da.data,\n                               drop_axis=(0,1),  # drops all but 'dim'\n                               chunks=(1,),  # needed because chunking is changing \n                               dtype=np.float64,  # needed. wrapper returns np.nan because None is not an option\n                               dim=dim,  # this and remaining arguments go to wrapper\n                               dims=da.dims, coords=da.coords, attrs=da.attrs, # needed to reconstruct arrays\n                               plot_func=plot_func)\n    \n    return mapped",
      "execution_count": 19,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## What a user provides\n\n### Create (or read) dataset\n\nFirst create a fake dataset with nice attributes"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import numpy as np\nimport pandas as pd\nimport xarray as xr\n\n# user provides DataArray da and a plotting function 'make_plot'\nda = (xr.DataArray(np.random.randn(50, 60, 5*18), \n                  dims=['lat', 'lon', 'time'],\n                  coords={'lat': np.linspace(-25, 25, 50),\n                          'lon': np.linspace(0, 180, 60),\n                          'time': pd.date_range('2000-01-01', freq='D', periods=5*18)})\n      .chunk({'time': 1}))\n\nda['lat'].attrs['long_name'] = 'latitude'\nda['lat'].attrs['units'] = 'degrees_north'\nda['lon'].attrs['long_name'] = 'longitude'\nda['lon'].attrs['units'] = 'degrees_east'\nda.attrs['long_name'] = \"what's in a name?\"\nda.attrs['units'] = 'units'\n\nda",
      "execution_count": 49,
      "outputs": [
        {
          "data": {
            "text/plain": "<xarray.DataArray (lat: 50, lon: 60, time: 90)>\ndask.array<shape=(50, 60, 90), dtype=float64, chunksize=(50, 60, 1)>\nCoordinates:\n  * lat      (lat) float64 -25.0 -23.98 -22.96 -21.94 ... 21.94 22.96 23.98 25.0\n  * lon      (lon) float64 0.0 3.051 6.102 9.153 ... 170.8 173.9 176.9 180.0\n  * time     (time) datetime64[ns] 2000-01-01 2000-01-02 ... 2000-03-30\nAttributes:\n    long_name:  what's in a name?\n    units:      units"
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "That dataset must have `chunksize=1` on the dimension over which to animate. If our intent is to make a movie that animates in `time`, we should chunk as above"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Write a plotting function\n\nNow write a function that makes the plot you want. This function must accept an xarray-DataArray (`xr_array`) and `index`, the `index` of this chunk along `dim`."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def make_plot(xr_array, index):\n    \n    import matplotlib.pyplot as plt\n    import matplotlib as mpl\n    \n    f, ax = plt.subplots(1, 1, constrained_layout=True)\n    \n    # ax=ax is required!\n    xr_array.plot(ax=ax,\n                  vmin=-2, vmax=4, cmap=mpl.cm.RdBu, \n                  extend='both',\n                  cbar_kwargs={'orientation': 'horizontal'})\n    \n    f.savefig(f\"images/{index:04d}.png\")\n    \n    # this prevents a warning that is issued when more than 20 figures are open.\n    # maybe it saves memory too?\n    plt.close(f)\n    del f",
      "execution_count": 50,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "### Make the animation"
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Call animate as below. It will return a dask array with length = length(dimension over which to animate) = length('time') in this case."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "mapped = animate(da=da, dim='time', plot_func=make_plot)\nmapped",
      "execution_count": 62,
      "outputs": [
        {
          "data": {
            "text/plain": "dask.array<wrapper, shape=(90,), dtype=float64, chunksize=(1,)>"
          },
          "execution_count": 62,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "We can visualize the task graph for `mapped`. The following image was made with a smaller dataset with 10 time instants so that the nodes are visible."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "# mapped.visualize()",
      "execution_count": 32,
      "outputs": [
        {
          "data": {
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\n",
            "text/plain": "<IPython.core.display.Image object>"
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "It looks parallel!"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "mapped.compute()",
      "execution_count": 52,
      "outputs": [
        {
          "data": {
            "text/plain": "array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])"
          },
          "execution_count": 52,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "## Output\n\nThis should show that files were written recently"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ls -alh images/",
      "execution_count": 53,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "/usr/bin/sh: module: line 1: syntax error: unexpected end of file\n/usr/bin/sh: error importing function definition for `BASH_FUNC_module'\n/usr/bin/sh: ml: line 1: syntax error: unexpected end of file\n/usr/bin/sh: error importing function definition for `BASH_FUNC_ml'\ntotal 12M\ndrwxr-xr-x  2 dcherian ncar 4.0K Jun  4 14:38 \u001b[0m\u001b[01;34m.\u001b[0m/\ndrwxr-xr-x 49 dcherian ncar  32K Jun  4 14:37 \u001b[01;34m..\u001b[0m/\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0000.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0001.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0002.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0003.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0004.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0005.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0006.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0007.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0008.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0009.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0010.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0011.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0012.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0013.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0014.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0015.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0016.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0017.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0018.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0019.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0020.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0021.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0022.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0023.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0024.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0025.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0026.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0027.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0028.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0029.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0030.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0031.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0032.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0033.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0034.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0035.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0036.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0037.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0038.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0039.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0040.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0041.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0042.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0043.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0044.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0045.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0046.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0047.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0048.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0049.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0050.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0051.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0052.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0053.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0054.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0055.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0056.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0057.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0058.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0059.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0060.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0061.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0062.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0063.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0064.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0065.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0066.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0067.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0068.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0069.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0070.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0071.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0072.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0073.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0074.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0075.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0076.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0077.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0078.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0079.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0080.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0081.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0082.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0083.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0084.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0085.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0086.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0087.png\n-rw-r--r--  1 dcherian ncar  40K Jun  4 14:38 0088.png\n-rw-r--r--  1 dcherian ncar  39K Jun  4 14:38 0089.png\n"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Each image is nicely labelled! (xarray's default functionality)"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "from IPython.display import Image\nImage('images/0001.png')",
      "execution_count": 60,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<IPython.core.display.Image object>"
          },
          "execution_count": 60,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "Image('images/0051.png')",
      "execution_count": 61,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<IPython.core.display.Image object>"
          },
          "execution_count": 61,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Use `ffmpeg` to create a video"
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.6.7",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "toc": {
      "nav_menu": {},
      "number_sections": true,
      "sideBar": true,
      "skip_h1_title": false,
      "base_numbering": 1,
      "title_cell": "Table of Contents",
      "title_sidebar": "Contents",
      "toc_cell": false,
      "toc_position": {},
      "toc_section_display": true,
      "toc_window_display": true
    },
    "gist": {
      "id": "",
      "data": {
        "description": "parallel-animations.ipynb",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}