Reference

http://alex.seeholzer.de/2014/05/fun-with-matplotlib-pcolormesh-getting-data-to-display-in-the-right-position/

Code

``````import pylab as pl
import numpy as np

# values x and y give values at z
xmin = 1; xmax = 4; dx = 1
ymin = 1; ymax = 3; dy = .5
x,y = np.meshgrid(np.arange(xmin,xmax,dx),np.arange(ymin,ymax,dy))
z = x*y

# transform x and y to boundaries of x and y
x2,y2 = np.meshgrid(np.arange(xmin,xmax+dx,dx)-dx/2.,np.arange(ymin,ymax+dy,dy)-dy/2.)

# pcolormesh without x and y just uses indexing as labels
pl.subplot(121)
pl.pcolormesh(z)
pl.title("Wrong ticks")

# pcolormesh with x and y values gives a wrong plot, x and y are treated as boundaries
pl.subplot(122)
pl.title("Wrong: x,y as values")
pl.pcolormesh(x,y,z)

pl.figure()
# using the boundaries gives correct plot
pl.subplot(121)
pl.title("Right: x,y as boundaries")
pl.pcolormesh(x2,y2,z)
pl.axis([x2.min(),x2.max(),y2.min(),y2.max()])

# using the boundaries gives correct plot
pl.subplot(122)
pl.title("Correct ticks")
pl.pcolormesh(x2,y2,z)
pl.axis([x2.min(),x2.max(),y2.min(),y2.max()])
pl.xticks(np.arange(xmin,xmax,dx))
pl.yticks(np.arange(ymin,ymax,dy))

pl.show()
``````

Conclusion

When I store .nc files, I need to save lon_center and lat_center.

Then, I can create correct ticks when plotting:

``````lat,lon = np.meshgrid(np.append(lat_center-resolution/2,lat_center[-1]+resolution/2),np.append(lon_center-resolution/2,lon_center[-1]+resolution/2))
``````

Thank you

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