Merge pull request #52 from t20100/last-stuff

Change gif to png to avoid pdf export issue
silx-kit · Nov 29, 2019 · f0a7002 · f0a7002
2 parents b5d0f06 + c522d20
commit f0a7002
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Showing 3 changed files with 15 additions and 67 deletions.
diff --git a/python/io/images/h5py.gif b/python/io/images/h5py.gif
diff --git a/python/io/images/h5py.png b/python/io/images/h5py.png
diff --git a/python/io/io_hdf5.ipynb b/python/io/io_hdf5.ipynb
@@ -121,7 +121,7 @@
    "source": [
     "# h5py\n",
     "\n",
-    "![h5py book](images/h5py.gif \"h5py book\")\n",
+    "![h5py book](images/h5py.png \"h5py book\")\n",
     "\n",
     "[h5py](https://www.h5py.org/) is the python binding for accessing hdf5. Originally from [Andrew Collette](http://shop.oreilly.com/product/0636920030249.do)"
    ]
@@ -182,21 +182,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "First children: <KeysViewHDF5 ['diff_map_0000', 'diff_map_0001', 'diff_map_0002', 'diff_map_0003', 'diff_map_0004']>\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import h5py\n",
     "\n",
@@ -208,24 +200,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<HDF5 dataset \"map\": shape (29, 78, 100), type \"<f4\">"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get a dataset from a sub group\n",
     "dataset = h5file['/diff_map_0004/data/map']\n",
@@ -281,7 +262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -292,40 +273,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Dataset: (29, 78, 100) 226200 float32\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Here we only read metadata from the dataset\n",
     "print(\"Dataset:\", dataset.shape, dataset.size, dataset.dtype)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[104.14766  103.352615 103.01642  103.24001  103.27751 ]\n",
-      "[205.95827 206.2795  206.5441  206.48112 206.46625]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Read and apply an operation\n",
     "print(dataset[5, 5, 0:5])\n",
@@ -334,22 +298,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {
     "slideshow": {
      "slide_type": "-"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[103.45841  103.19393  103.12445  103.15601  103.203285]\n",
-      "[0. 0. 0. 0. 0.]\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# copy the data and store it as a numpy-array\n",
     "# if no copy is done, once the file is close the data will not be accessible anymore\n",
@@ -361,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -385,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -454,7 +409,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -723,13 +678,6 @@
     "    an example on how to store tomography raw data\n",
     "    an example to store tomoraphy application (3D reconstruction)\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {