Sample Graphic Notebook

landing-page.ipynb

@@ -15,7 +15,7 @@
    "id": "422cec20-f029-427f-97bd-90e147e2eb0f",
    "metadata": {},
    "source": [
-    "<img src=\"images/pretty-earth.png\" alt=\"Pretty Earth\" width=\"600px\">"
+    "<img src='boulder_prcp.gif' alt=\"Boulder Flood Precipitation\" width=\"600px\">\n"
    ]
   },
   {
@@ -37,7 +37,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },

page_art.py

@@ -0,0 +1,45 @@
+###############################################################################
+# Import packages
+
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
+import matplotlib.animation as animation
+import matplotlib.pyplot as plt
+import numpy as np
+import xarray as xr
+
+###############################################################################
+# Read in the data, file path will need to be updated
+
+ds = xr.open_dataset('daymet_v3_prcp_2013_na_subset.nc', engine='netcdf4')
+prcp = ds.prcp
+
+# Create figure for plotting, adding land and state features
+fig = plt.figure(figsize=(15, 15), frameon=False)
+proj = ccrs.PlateCarree()
+ax = plt.axes(projection=proj)
+ax.axis('off')
+ax.coastlines()
+ax.add_feature(cfeature.LAND)
+ax.add_feature(cfeature.STATES)
+
+# Create function to loop over precip data and plot each day
+anim_artists = []  # Generate empty list to place plots in
+
+for prcp_slice in prcp:
+    cntr = ax.contourf(
+        prcp_slice.lon,
+        prcp_slice.lat,
+        prcp_slice,
+        transform=proj,
+        levels=np.arange(0, 55, 2),
+    )
+    anim_artists.append(cntr.collections)
+
+plt.tight_layout()
+
+# Call Matplotlib animation function to create gif
+anim = animation.ArtistAnimation(fig, anim_artists, interval=500)
+
+# Uncomment to save gif
+# anim.save('boulder_prcp.gif', writer="pillow")

setup.cfg

@@ -7,7 +7,7 @@ select = B,C,E,F,W,T4,B9
 
 [isort]
 known_first_party=
-known_third_party=
+known_third_party=cartopy,matplotlib,numpy,xarray
 multi_line_output=3
 include_trailing_comma=True
 force_grid_wrap=0