Python program using netCDF help!
Hello, I need to write a program that will plot any set of .nc data with dimensions stored in t-z-y-x order but i'm having some problems thats driving me crazy.
first problem: how do I find the names of the variables for each dimension for example how would I find the name 'lat' for the latitude (I know in the .nc file but i'm not allowed to hard code it)
second problem: The graphs that I plot have white bits on the outside because the x and y axis are bigger than the data set, is there a way to eliminate this part?
my program is below notice that I have to hardcode the words 'lon' and 'lat when I need to get them from the file instead somehow!)
# Assignment2 module1
# FILENAME: A2P1
def plotMap(locStr, varStr, tI, zI):
'''reads a file location (string), variable (string), a time index and then a z index'''
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
from netCDF4 import Dataset
print "reading data..."
nc = Dataset(locStr)
var = nc.variables[varStr]
print "Converting the coordinates..."
lonvar = nc.variables['lon']
lonvals = lonvar[:]
latvar = nc.variables['lat']
latvals = latvar[:]
print "Creating plot attributes..."
pc=plt.pcolor(lonvals, latvals, data)
plt.xlabel('longitude (' + lonvar.units +')')
plt.ylabel('latitude (' + latvar.units + ')')
plt.title('plot of ' + varStr + ' at level z=' + str(zI) + ' (' + var.units + ')')
print "Plotting graph..."
plt.savefig(varStr + '.png')
A2P1.plotMap('/home/edev/classes/class7/FOAM_20110209.0.nc', 'TMP', 1, 12)
#A2P1.plotMap('/home/edev/classes/class6/GlobModel_temp.nc', 'Pressure', 1, 1)
here are links to two .nc file this program should work for but doesn't quite yet
I have used a lot of time looking for the command that will fix everything, your help will be very appretiated. If can't help and have a good idea of where to look that would be usedful too,
|All times are GMT -5. The time now is 09:59 AM.|
Powered by vBulletin Copyright ©2000 - 2014, Jelsoft Enterprises Ltd.
© 2014 Physics Forums