Update optical.ipynb

MechMicroMan · Nov 21, 2024 · b6cfe6d · b6cfe6d
1 parent 6b33a60
commit b6cfe6d
Showing 1 changed file with 18 additions and 60 deletions.
diff --git a/notebooks/optical.ipynb b/notebooks/optical.ipynb
@@ -40,7 +40,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "fcd0edc9-7d79-412b-84b7-1f3091cb090c",
    "metadata": {
     "pycharm": {
@@ -76,22 +76,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "1ea4e773-0af0-4748-b0e9-f2b2daca0745",
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(dimensions: 1170 x 935 pixels)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "optical_filepath = \"../tests/data/testOptical.png\"\n",
     "optical_map = optical.Map(file_name = optical_filepath)"
@@ -112,7 +104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "6e1489dc-78e1-4d00-98d1-243546fa3308",
    "metadata": {
     "pycharm": {
@@ -165,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "546c6f28-3982-4401-8ce1-81176f144181",
    "metadata": {
     "pycharm": {
@@ -192,24 +184,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "8da89bf7-685b-4bda-97ac-84def01b93c2",
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Loaded EBSD data (dimensions: 852 x 734 pixels, step size: 3.0 um)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "ebsd_map = ebsd.Map(\"../tests/data/f-5-test-region\")"
+    "ebsd_map = ebsd.Map(\"../tests/data/testOpticalEBSD\")"
    ]
   },
   {
@@ -348,24 +332,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "88510a8e-a612-4705-bd9e-86b992ced80f",
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished building quaternion array (0:00:00) \n",
-      "Finished finding grain boundaries (0:00:01) \n",
-      "Finished finding grains (0:00:00) \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ebsd_map.data.generate('grain_boundaries', misori_tol=8)\n",
     "ebsd_map.data.generate('grains', min_grain_size=200)"
@@ -385,22 +359,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "5cd4c838-c45f-443f-ba99-85903b63d6ec",
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished calculating grain average Schmid factors (0:00:01) \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "ebsd_map.calc_average_grain_schmid_factors(load_vector=np.array([1,0,0]), slip_systems=None)"
    ]
@@ -764,7 +730,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "5db8cb21-0612-4900-9af5-7c69e059c73a",
    "metadata": {
     "pycharm": {
@@ -782,7 +748,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "e9c2b077-67b3-4eea-865f-39aacba48246",
    "metadata": {
     "pycharm": {
@@ -813,7 +779,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "223a0c85-4204-4803-984b-b026252b2152",
    "metadata": {
     "pycharm": {
@@ -879,22 +845,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "bb95be4e-5bca-43ec-a9c6-09243c000d8a",
    "metadata": {
     "pycharm": {
      "name": "#%%\n"
     }
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Finished finding grains (0:00:00) \n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "optical_map.data.generate('grains', algorithm='warp', min_grain_size=10)"
    ]
@@ -946,7 +904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "b6d7a470-7bcf-4b7f-8902-de3d53c0febc",
    "metadata": {},
    "outputs": [],