- More Sample and Guide Updates for the new SeDF.

- Added data for SeDF guides in a zip file.

Author: achapkowski

guide/05-working-with-the-spatial-dataframe/advanced-topics.ipynb

@@ -49,9 +49,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "extensions": {
      "jupyter_dashboards": {
       "version": 1,
@@ -94,7 +93,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {
     "code_folding": [
      9
@@ -117,17 +116,7 @@
      }
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "25395f4f1dd64b68bcb1f3f38b042cbe"
-      }
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import ipywidgets as widgets\n",
     "\n",
@@ -165,7 +154,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {
     "extensions": {
      "jupyter_dashboards": {
@@ -185,17 +174,7 @@
      }
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5128a449a00147909fa224dc07bffd89"
-      }
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "m = gis.map(location.value)\n",
     "m.add_layer(landsat)\n",
@@ -212,7 +191,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {
     "code_folding": [
      2,
@@ -236,25 +215,15 @@
      }
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b28d51f013434e5886ee09bb7123b320"
-      }
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "oldindex =  0 # int(len(df)/2)\n",
     "\n",
     "# before image date slider\n",
     "oldslider = widgets.IntSlider(value=oldindex, min=0,max=10, #len(df) - 1,\n",
     "                              step=1, description='Older:', disabled=False,\n",
     "                              continuous_update=True, orientation='horizontal',\n",
-    "                              readout=False, readout_format='i', slider_color='white')\n",
+    "                              readout=False, readout_format='f', slider_color='white')\n",
     "\n",
     "old_label = widgets.Label(value='')#str(df.Time.iloc[oldindex].date()))\n",
     "\n",
@@ -275,7 +244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {
     "code_folding": [
      2,
@@ -299,25 +268,15 @@
      }
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a932e8894c2049ec9e1960df9ba793e9"
-      }
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "newindex = 0 # len(df) - 1\n",
     "\n",
     "# after image date slider\n",
     "newslider = widgets.IntSlider(value=newindex, min=0, max=10, #len(df) - 1,\n",
     "                              step=1, description='Newer:', disabled=False,\n",
     "                              continuous_update=True, orientation='horizontal',\n",
-    "                              readout=False, readout_format='i', slider_color='white')\n",
+    "                              readout=False, readout_format='f', slider_color='white')\n",
     "\n",
     "new_label = widgets.Label(value='') #str(df.Time.iloc[newindex].date()))\n",
     "\n",
@@ -345,12 +304,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {
     "code_folding": [
      0
     ],
-    "collapsed": true,
     "extensions": {
      "jupyter_dashboards": {
       "version": 1,
@@ -396,7 +354,7 @@
     "                  return_geometry=True,\n",
     "                  return_distinct_values=False,\n",
     "                  order_by_fields=\"AcquisitionDate\")\n",
-    "    tdf = fs.df\n",
+    "    tdf = fs.sdf\n",
     "    df = tdf\n",
     "    tdf['Time'] = pd.to_datetime(tdf['AcquisitionDate'], unit='ms')    \n",
     "    \n",
@@ -410,9 +368,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {
-    "collapsed": true,
     "extensions": {
      "jupyter_dashboards": {
       "version": 1,
@@ -442,7 +399,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {
     "code_folding": [
      0
@@ -465,17 +422,7 @@
      }
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9f58ad635da64e2b8c1f678665e3a8af"
-      }
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# create the action button\n",
     "diffbtn = widgets.Button(description='Detect changes', disabled=False,\n",
@@ -557,7 +504,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.5.3"
+   "version": "3.6.5"
   },
   "widgets": {
    "state": {