diff --git a/tutorial/part3/data_exploitability_pangeo.ipynb b/tutorial/part3/data_exploitability_pangeo.ipynb index 8109ec9..22545ce 100644 --- a/tutorial/part3/data_exploitability_pangeo.ipynb +++ b/tutorial/part3/data_exploitability_pangeo.ipynb @@ -22,7 +22,7 @@ "### Contributors\n", "- Alejandro Coca-Castro, The Alan Turing Institute, [acocac](https://github.com/acocac) (author)\n", "- Anne Fouilloux, Simula Research Laboratory (Norway), [@annefou](https://github.com/annefou)\n", - "- Justus Magin, UMR-LOPS CNRS(France), [@justusmagin](https://github.com/justusmagin)\n", + "- Justus Magin, UMR-LOPS CNRS(France), [@keewis](https://github.com/keewis)\n", "- Tina Odaka, UMR-LOPS Ifremer (France), [@tinaok](https://github.com/tinaok)\n", "\n", "## Introduction\n", @@ -197,9 +197,9 @@ "metadata": {}, "source": [ "Let's setup the Dask Dashboard with your new cluster, as explained in the former section (Parallel computing with Dask)\n", + "\n", "Reminder: \n", - "- ***If you use Dask-Gateway: just click on the link to open the dashboard into another tab. Then copy and paste the link of web site appearing to the dask lab - extension***\n", - "- ...\n" + "- ***If you use Dask-Gateway: just click on the link to open the dashboard into another tab. Then copy and paste the link of web site appearing to the dask lab - extension***" ] }, { @@ -280,7 +280,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -306,7 +309,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -359,7 +365,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -379,7 +388,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -413,7 +425,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -433,7 +448,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -475,7 +493,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -496,7 +517,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -515,7 +539,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -533,7 +560,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -560,7 +590,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -571,7 +604,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -589,7 +625,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -600,7 +639,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -621,7 +663,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -688,7 +733,7 @@ " \n", "
  • Xarray's apply_ufunc is passed to each chunk of Xarray.DataArray \n", "
  • \n", - "
  • chunksize for stackstac is specified so that it is only chunked (sliced) in time. All datas from band, x and y are in one chunk (slice)\n", + "
  • chunksize for stackstac is specified so that it is only chunked (sliced) in time. All data from band, x and y are in one chunk (slice)\n", "
  • \n", " \n", "" @@ -771,7 +816,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -783,7 +831,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -795,7 +846,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -807,7 +861,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -830,7 +887,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -841,7 +901,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -852,7 +915,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -864,7 +930,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -876,7 +945,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -887,7 +959,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -906,7 +981,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -924,7 +1002,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [ @@ -938,7 +1019,10 @@ "cell_type": "code", "execution_count": null, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [], "source": [