## Geographical Plotting with Basemap and Python p. 2

Here, we cover some more of the customization options of Python's Basemap. Here is the sample code from the video:

```from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
# llcrnrlat,llcrnrlon,urcrnrlat,urcrnrlon
# are the lat/lon values of the lower left and upper right corners
# of the map.
# resolution = 'c' means use crude resolution coastlines
# you can also have 'l' for low, then 'h' for high. Unless coastlines are
# really important to you, or lakes, you should just use c for crude.
m = Basemap(projection='mill',llcrnrlat=-60,urcrnrlat=90,\
llcrnrlon=-180,urcrnrlon=180,resolution='c')
m.drawcoastlines()
m.fillcontinents(color='#072B57',lake_color='#FFFFFF')
# draw parallels and meridians.

m.drawparallels(np.arange(-90.,91.,30.))
m.drawmeridians(np.arange(-180.,181.,60.))

m.drawmapboundary(fill_color='#FFFFFF')
plt.title("Geo Plotting Tutorial")
plt.show()
```

The next tutorial:

• Matplotlib Crash Course

• 3D graphs in Matplotlib

• 3D Scatter Plot with Python and Matplotlib

• More 3D scatter-plotting with custom colors

• 3D Barcharts

• 3D Plane wireframe Graph

• Live Updating Graphs with Matplotlib Tutorial

• Modify Data Granularity for Graphing Data

• Geographical Plotting with Basemap and Python p. 1

• Geographical Plotting with Basemap and Python p. 2
• Geographical Plotting with Basemap and Python p. 3

• Geographical Plotting with Basemap and Python p. 4

• Geographical Plotting with Basemap and Python p. 5

• Advanced Matplotlib Series (videos and ending source only)