Removed the cell output files

README.md

@@ -3,86 +3,91 @@ earthengine-jupyter
 
 <!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
 
-``` python
-# Copyright 2022 Google LLC
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-# 
-#     https://www.apache.org/licenses/LICENSE-2.0
-# 
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-```
-
 **NOTICE: This is an experimental project and is not an officially
 supported Google project. You are welcome to use it, but we do not
 guarantee stability.**
 
 ## How to use
 
-This lib contains a `map` class that can be used to display an
+This lib contains a `Map` class that can be used to display an
 interactive map.
 
 ``` python
 import ee
 from ee_jupyter.ipyleaflet import Map
-from ee_jupyter.ipyleaflet import Inspector
-from ipywidgets import HBox
+```
 
+``` python
+# Intialize the Earth Engine client library.
 ee.Initialize()
 ```
 
 ``` python
-img = ee.Image("LANDSAT/LC09/C02/T1_L2/LC09_044034_20220127")
+map1 = Map(center=(37.5924, -122.09), zoom=8)
+map1
+```
+
+    Map(center=[37.5924, -122.09], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zo…
+
+Define an Earth Engine image layer, and add it to the interactive map.
+
+``` python
+img1 = ee.Image("LANDSAT/LC09/C02/T1_L2/LC09_044034_20220127")
 visualization = {
     'bands': ['SR_B4', 'SR_B3', 'SR_B2'],
-    'min': 0.2 / 0.0000275 ,
+    'min': 0.2 / 0.0000275,
     'max': 0.4 / 0.0000275,
-};
+}
+map1.addLayer(eeObject=img1, visParams=visualization, name='Landsat scene')
 ```
 
+We can also create an inspector object and associate it with the
+previously created map.
+
 ``` python
-map1 = Map(center=(37.5924, -122.09), zoom=8)
-inspector1 = Inspector(map_object=map1)
+from ee_jupyter.ipyleaflet import Inspector
 
-display(HBox([map1, inspector1]))
+inspector1 = Inspector(map_object=map1)
+inspector1
 ```
 
-    HBox(children=(Map(center=[37.5924, -122.09], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom…
+    Inspector(layout=Layout(border_bottom='solid', border_left='solid', border_right='solid', border_top='solid', …
 
-Add an Earth Engine image to the map.
+Typically when you create a inspector object, you will want to display
+it near the map.
 
 ``` python
-map1.addLayer(img, visualization, 'Sample image');
+from ipywidgets import HBox
+
+display(HBox([map1, inspector1]))
 ```
 
-# Test earthengine-api
+    HBox(children=(Map(center=[37.5924, -122.09], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom…
 
-``` python
-from IPython.display import Image
-```
+<div>
 
-``` python
-print(img.getInfo()['id'])
-```
+> **Tip With Caption**
+>
+> Note that Jupyter widgets do not interact with each other when
+> published as documentation. Open up this notebook in a Jupyter
+> environment to see the interaction.
 
-    LANDSAT/LC09/C02/T1_L2/LC09_044034_20220127
+</div>
 
 # Displaying a Map Image
 
+If you want to display a static (non-interactive) image, you can do that
+as well. The `embed=True` parameter will allow the image to be saved
+within the notebook.
+
 ``` python
-img2 = ee.Image('CGIAR/SRTM90_V4')
-url = img2.getThumbUrl({'min':0, 'max':3000, 'dimensions':'400'})
-print(url)
+from IPython.display import Image
+
+
+visualization['dimensions'] = 400  # maximum dimension for the image
+url = img1.getThumbUrl(visualization)
 
 Image(url=url, format='png', embed=True)
 ```
 
-    https://earthengine.googleapis.com/v1alpha/projects/earthengine-legacy/thumbnails/ac806a13e67cc8e1151e9189b409c500-fea91baa41ef3314a13b4d5d411c5305:getPixels
-
-![](index_files/figure-gfm/cell-9-output-2.png)
+![](index_files/figure-gfm/cell-8-output-1.png)