Update 50_cartoee_quickstart.ipynb (#1948)

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gee-community · Mar 19, 2024 · 0e75cce · 0e75cce
1 parent 62def63
commit 0e75cce
Showing 1 changed file with 67 additions and 25 deletions.
diff --git a/examples/notebooks/50_cartoee_quickstart.ipynb b/examples/notebooks/50_cartoee_quickstart.ipynb
@@ -3,11 +3,13 @@
   {
    "cell_type": "markdown",
    "id": "0",
-   "metadata": {},
+   "metadata": {
+    "id": "0"
+   },
    "source": [
     "<a href=\"https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/50_cartoee_quickstart.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\"/></a>\n",
     "\n",
-    "Uncomment the following line to install [geemap](https://geemap.org) and [cartopy](https://scitools.org.uk/cartopy/docs/latest/installing.html#installing) if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the [notebook example](https://colab.research.google.com/github/gee-community/geemap/blob/master/examples/notebooks/cartoee_colab.ipynb). \n",
+    "Uncomment the following line to install [geemap](https://geemap.org) and [cartopy](https://scitools.org.uk/cartopy/docs/latest/installing.html#installing) if needed. Keep in mind that cartopy can be challenging to install. If you are unable to install cartopy on your computer, you can try Google Colab with this the [notebook example](https://colab.research.google.com/github/gee-community/geemap/blob/master/examples/notebooks/cartoee_colab.ipynb).\n",
     "\n",
     "See below the commands to install cartopy and geemap using conda/mamba:\n",
     "\n",
@@ -25,7 +27,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "1",
-   "metadata": {},
+   "metadata": {
+    "id": "1"
+   },
    "outputs": [],
    "source": [
     "# !pip install cartopy scipy\n",
@@ -35,7 +39,9 @@
   {
    "cell_type": "markdown",
    "id": "2",
-   "metadata": {},
+   "metadata": {
+    "id": "2"
+   },
    "source": [
     "# How to create publication quality maps using `cartoee`\n",
     "\n",
@@ -46,13 +52,16 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "3",
-   "metadata": {},
+   "metadata": {
+    "id": "3"
+   },
    "outputs": [],
    "source": [
     "%pylab inline\n",
     "\n",
     "import ee\n",
     "import geemap\n",
+    "import matplotlib.pyplot as plt\n",
     "\n",
     "# import the cartoee functionality from geemap\n",
     "from geemap import cartoee"
@@ -62,7 +71,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "4",
-   "metadata": {},
+   "metadata": {
+    "id": "4"
+   },
    "outputs": [],
    "source": [
     "geemap.ee_initialize()"
@@ -71,7 +82,9 @@
   {
    "cell_type": "markdown",
    "id": "5",
-   "metadata": {},
+   "metadata": {
+    "id": "5"
+   },
    "source": [
     "## Plotting an image\n",
     "\n",
@@ -82,7 +95,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "6",
-   "metadata": {},
+   "metadata": {
+    "id": "6"
+   },
    "outputs": [],
    "source": [
     "# get an image\n",
@@ -93,7 +108,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "7",
-   "metadata": {},
+   "metadata": {
+    "id": "7"
+   },
    "outputs": [],
    "source": [
     "# geospatial region in format [E,S,W,N]\n",
@@ -105,7 +122,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "8",
-   "metadata": {},
+   "metadata": {
+    "id": "8"
+   },
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15, 10))\n",
@@ -122,13 +141,15 @@
     "# add coastlines using the cartopy api\n",
     "ax.coastlines(color=\"red\")\n",
     "\n",
-    "show()"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "9",
-   "metadata": {},
+   "metadata": {
+    "id": "9"
+   },
    "source": [
     "This is a decent map for minimal amount of code. But we can also easily use matplotlib colormaps to visualize our EE results to add more color. Here we add a `cmap` keyword to the `.get_map()` and `.add_colorbar()` functions."
    ]
@@ -137,7 +158,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "10",
-   "metadata": {},
+   "metadata": {
+    "id": "10"
+   },
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15, 10))\n",
@@ -161,13 +184,15 @@
     "\n",
     "ax.set_title(label=\"Global Elevation Map\", fontsize=15)\n",
     "\n",
-    "show()"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "11",
-   "metadata": {},
+   "metadata": {
+    "id": "11"
+   },
    "source": [
     "## Plotting an RGB image\n",
     "\n",
@@ -178,7 +203,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "12",
-   "metadata": {},
+   "metadata": {
+    "id": "12"
+   },
    "outputs": [],
    "source": [
     "# get a landsat image to visualize\n",
@@ -192,7 +219,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "13",
-   "metadata": {},
+   "metadata": {
+    "id": "13"
+   },
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15, 10))\n",
@@ -209,13 +238,15 @@
     "# add the coastline\n",
     "ax.coastlines(color=\"yellow\")\n",
     "\n",
-    "show()"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "14",
-   "metadata": {},
+   "metadata": {
+    "id": "14"
+   },
    "source": [
     "By default, if a region is not provided via the `region` keyword the whole extent of the image will be plotted as seen in the previous Landsat example. We can also zoom to a specific region of an image by defining the region to plot."
    ]
@@ -224,7 +255,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "15",
-   "metadata": {},
+   "metadata": {
+    "id": "15"
+   },
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15, 10))\n",
@@ -242,13 +275,15 @@
     "# add coastline\n",
     "ax.coastlines(color=\"yellow\")\n",
     "\n",
-    "show()"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "16",
-   "metadata": {},
+   "metadata": {
+    "id": "16"
+   },
    "source": [
     "## Adding north arrow and scale bar"
    ]
@@ -257,7 +292,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "17",
-   "metadata": {},
+   "metadata": {
+    "id": "17"
+   },
    "outputs": [],
    "source": [
     "fig = plt.figure(figsize=(15, 10))\n",
@@ -287,19 +324,24 @@
     "\n",
     "ax.set_title(label=\"Landsat False Color Composite (Band 5/4/3)\", fontsize=15)\n",
     "\n",
-    "show()"
+    "plt.show()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "18",
-   "metadata": {},
+   "metadata": {
+    "id": "18"
+   },
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {
+  "colab": {
+   "provenance": []
+  },
   "kernelspec": {
    "display_name": "Python 3",
    "language": "python",