Merge branch 'scipy-2022' of github.com:planetlabs/notebooks into scipy-2022

pull in latest updates

Author: mkshah605

jupyter-notebooks/scipy-2022-workshop/2_rasterbands.ipynb

@@ -292,7 +292,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "plt.figure(0)\n",
     "plt.imshow(visual_image)\n",
     "plt.title(\"Visual Image\")"
    ]

jupyter-notebooks/scipy-2022-workshop/3_Compute_NDWI.ipynb

@@ -195,9 +195,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "plt.figure(0)\n",
-    "plt.imshow(ndwi)\n",
-    "plt.title(\"Analytic Image\")\n",
+    "fig = plt.imshow(ndwi)\n",
+    "fig.set_cmap('Blues')\n",
+    "plt.title(\"NDWI\")\n",
     "plt.colorbar()"
    ]
   },

jupyter-notebooks/scipy-2022-workshop/4_masks_and_filters.ipynb

@@ -165,7 +165,6 @@
    "source": [
     "# In the below image, purple areas are those identified as water\n",
     "\n",
-    "plt.figure(1)\n",
     "plt.imshow(water_mask)\n",
     "plt.title(\"Houston water mask\")\n",
     "plt.colorbar()"
@@ -179,7 +178,6 @@
    "source": [
     "# In the below image, purple areas are those identified as land\n",
     "\n",
-    "plt.figure(2)\n",
     "plt.imshow(land_mask)\n",
     "plt.title(\"Houston land mask\")\n",
     "plt.colorbar()"

jupyter-notebooks/scipy-2022-workshop/5_plotting_a_histogram.ipynb

@@ -127,7 +127,7 @@
     "\n",
     "# Define a color for the histogram\n",
     "# You can use https://matplotlib.org/2.0.0/examples/color/named_colors.html as a reference\n",
-    "color = 'lightgreen'\n",
+    "color = 'royalblue'\n",
     "\n",
     "# call 'hist` with our x-axis, bins, and color details\n",
     "ax.hist(x,bins,color=color)\n",

jupyter-notebooks/scipy-2022-workshop/README.md

@@ -6,7 +6,7 @@ Follow the set up instructions below to run the Jupyter Notebooks for this works
 
 ### Option 1: (recommended) Run in Google Colab
 
-Interact directly with this repo's Jupyter Notebooks by running them in [Google Colab](http://colab.research.google.com/).
+Interact directly with this repo's Jupyter Notebooks by running them in Google Colab.
 
 Each Notebook will have its own **"Open in Colab"** button: once running on Colab, you'll need to run a quick setup cell in each notebook (this will install prerequisites and download data into your Colab workspace). You can also choose to make a copy of the Notebook in your own Google Drive, if you want to save any changes you make (not required for this workshop).
 
@@ -17,9 +17,8 @@ You can instead choose to open this Notebook in your own local Jupyter instance.
 Clone this repo:
 ```bash
 git clone [email protected]:planetlabs/notebooks.git
-cd notebooks
-git checkout scipy-2022
-cd jupyter-notebooks/scipy-2022-workshop/
+cd notebooks/jupyter-notebooks/scipy-2022-workshop/
+```
 
 **Prerequisites**
 - Install: [rasterio](https://pypi.org/project/rasterio) library