Re: [Matplotlib-users] Quiver plot of a netcdf file

[JPKay <ka...@va...>]

Thanks for the suggestion to look at the demo, I had missed it in my initial
look through. The quiver_demo seems to be broken up into three sections. The
first section initializes the information for the the two quiver plots
(sections two and three). This seems like the logical place to start for
importing the array information. The information in the quiver demo seems to
make sense, but I do not understand what needs to be modified and what does
not. Is there any location that contains more documentation about the quiver
function, or another demo that I could follow? Anyway, thanks for the help. 
Jon

I have done my best to comment out the first section.

Section 1:
# read in data.
file = open('fcover.dat','r') 
#I assume this section is not needed because because the netcdf file has
already been imported. 
ul=[];vl=[];pl=[]
#this seems to initiate the functions that are going to be imported and
plotted
nlons=73; nlats=73
#Not sure what this does
dellat = 2.5; dellon = 5.
#degrees that are displayed?
for line in file.readlines():
   l = line.replace('\n','').split()
   ul.append(float(l[0]))
   vl.append(float(l[1]))
   pl.append(float(l[2]))
u = np.reshape(np.array(ul,np.float32),(nlats,nlons))
v = np.reshape(np.array(vl,np.float32),(nlats,nlons))
p = np.reshape(np.array(pl,np.float32),(nlats,nlons))
lats1 = -90.+dellat*np.arange(nlats)
lons1 = -180.+dellon*np.arange(nlons)
lons, lats = np.meshgrid(lons1, lats1)



# read in data.
file = open('fcover.dat','r')
ul=[];vl=[];pl=[]
nlons=73; nlats=73
dellat = 2.5; dellon = 5.
for line in file.readlines():
   l = line.replace('\n','').split()
   ul.append(float(l[0]))
   vl.append(float(l[1]))
   pl.append(float(l[2]))
u = np.reshape(np.array(ul,np.float32),(nlats,nlons))
v = np.reshape(np.array(vl,np.float32),(nlats,nlons))
p = np.reshape(np.array(pl,np.float32),(nlats,nlons))
#equations calculating the magnitude of the vectors?
lats1 = -90.+dellat*np.arange(nlats)
lons1 = -180.+dellon*np.arange(nlons)
lons, lats = np.meshgrid(lons1, lats1)

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