Geographical Plotting with Basemap and Python p. 4
In this tutorial with Basemap, you are shown how to actually plot a plot, as well as choose a zoom level on your projection. As you can see, plotting lat and long coordinates is fairly simple if you envision them as X and Y on a plane. The only confusing part is that X, Y translates to Lon, Lat... which is the reverse of how they are normally reported.
From the video, here is the sample code:
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
def mapTut():
m = Basemap(projection='mill',llcrnrlat=20,urcrnrlat=50,\
llcrnrlon=-130,urcrnrlon=-60,resolution='c')
m.drawcoastlines()
m.drawcountries()
m.drawstates()
m.fillcontinents(color='#04BAE3',lake_color='#FFFFFF')
m.drawmapboundary(fill_color='#FFFFFF')
# Houston, Texas
lat,lon = 29.7630556,-95.3630556
x,y = m(lon,lat)
m.plot(x,y, 'ro')
lon, lat = -104.237, 40.125 # Location of Boulder
xpt,ypt = m(lon,lat)
m.plot(xpt,ypt, 'go')
plt.title("Geo Plotting")
plt.show()
mapTut()
The above code will generate a map in Matplotlib and Basemap with coordinates plotted for Houston TX and Boulder CO.
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Matplotlib Crash Course
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3D graphs in Matplotlib
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3D Scatter Plot with Python and Matplotlib
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More 3D scatter-plotting with custom colors
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3D Barcharts
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3D Plane wireframe Graph
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Live Updating Graphs with Matplotlib Tutorial
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Modify Data Granularity for Graphing Data
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Geographical Plotting with Basemap and Python p. 1
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Geographical Plotting with Basemap and Python p. 2
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Geographical Plotting with Basemap and Python p. 3
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Geographical Plotting with Basemap and Python p. 4
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Geographical Plotting with Basemap and Python p. 5
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Advanced Matplotlib Series (videos and ending source only)
