- Remove unused code and packages

observingClouds · Apr 8, 2020 · ff11f75 · ff11f75
1 parent 08e31de
commit ff11f75
Showing 1 changed file with 2 additions and 30 deletions.
diff --git a/notebooks/create_overview_figures.ipynb b/notebooks/create_overview_figures.ipynb
@@ -32,15 +32,12 @@
    "outputs": [],
    "source": [
     "import sys\n",
-    "# Path to pycloud folder (https://github.com/raspstephan/sugar-flower-fish-or-gravel/tree/master/pyclouds)\n",
-    "sys.path.append(\"/Users/haukeschulz/Documents/PhD/Work/Own/AI_CloudClassification/CloudClassificationDay/cloud-classification/\")\n",
-    "\n",
     "sys.path.append(\"../helpers/\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -58,7 +55,6 @@
     "import dask.array as da\n",
     "import xarray as xr\n",
     "import zarr\n",
-    "from pyclouds import *\n",
     "from helpers import *"
    ]
   },
@@ -77,15 +73,6 @@
     "savefig = False # True: loop through all images and save heatmap, otherwise show first day inline"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# pattern_dic_inv = {0: 'Sugar', 1: 'Flower', 2: 'Fish', 3: 'Gravel'}"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -130,18 +117,6 @@
     "da_arr = ds_l2.mask"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# # Connect level1 data and level2 data (level2 only contains masks and no additional information)\n",
-    "# classification_id_idx_dict = {}\n",
-    "# for c, (clas_id, df) in enumerate(df_l1.groupby('classification_id')):\n",
-    "#     classification_id_idx_dict[clas_id] = c"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -159,7 +134,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -285,8 +260,6 @@
     "instrument = 'MODIS'\n",
     "\n",
     "for d, (date, date_df) in enumerate(df_l1.groupby(df_l1['date'].dt.date)):\n",
-    "#     if date != dt.datetime(2020,2,7).date(): continue\n",
-    "    \n",
     "    date_arr = np.zeros((len(np.unique(date_df.user_name)),\n",
     "                         da_arr.shape[1],\n",
     "                         da_arr.shape[2],\n",
@@ -414,7 +387,6 @@
     "    fig, ax = plt.subplots(1,6,figsize=(15,2), dpi=150, gridspec_kw={'width_ratios':[1,1,1,1,1,0.1]})\n",
     "#     plt.suptitle(date,y=1.1)\n",
     "\n",
-    "\n",
     "    norm = Normalize(vmin = 0, vmax = len(np.unique(date_df_sel.user_name)), clip = False)\n",
     "    for p in range(1,5):\n",
     "        m = Basemap(ax=ax.flat[p], projection='merc',llcrnrlat=5,urcrnrlat=20,\\\n",