feat(draw): draw dataframe on map

draw.py

@@ -0,0 +1,41 @@
+from shapely.geometry import Point, MultiPoint
+from shapely.ops import cascaded_union
+import matplotlib.pyplot as plt
+import pandas as pd
+import cartopy.crs as ccrs
+
+df = pd.read_pickle('data_final.p')
+
+biomes = {}
+biome_numbers = df['biome_num'].unique()
+for n in biome_numbers:
+    biomes[n] = []
+
+for (longitude, latitude), row in df.iterrows():
+    biomes[row.biome_num].append(Point(longitude, latitude))
+
+ax = plt.axes(projection=ccrs.PlateCarree())
+ax.stock_img()
+
+colors={
+    0: '#016936',
+    1: '#B2D127',
+    2: '#77CC00',
+    3: '#99C500',
+    4: '#B6CC00',
+    5: '#00C5B5',
+    6: '#EFFF00',
+    7: '#FFEE00',
+    8: '#009BFF',
+    9: '#A0ADBA',
+    10: '#5C62FF',
+    11: '#00850F',
+    12: '#FF9E1F',
+    13: '#FF1F97'
+}
+
+for n in biome_numbers:
+    biomes[n] = MultiPoint(biomes[n]).buffer(1)
+    ax.add_geometries(biomes[n], ccrs.PlateCarree(), facecolor=colors[n])
+
+plt.show()

requirements.txt

@@ -5,3 +5,5 @@ descartes==1.1.0
 pysal==2.0.0
 rasterio==1.0.15
 tensorflow==1.12.0
+Cartopy==0.17.0
+numpy==1.16.1