On Mon, Sep 13, 2010 at 9:23 AM, Jeff Whitaker wrote:
> Martin:
>
> You need a meshgrid
>
> x,y = np.meshgrid(x,y)
>
> just *before* (not after)
>
> px,py = m(x,y)
>
> so that x and y have the same shape as data2.
Yeah, my bad. That's what I get for responding *before* coffee this morning.
Ryan
On Mon, Sep 13, 2010 at 9:02 AM, mdekauwe wrote:
>
> Hi,
>
> Well I tried...
>
> numrows = 17
> numcols = 16
> ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
> m = Basemap(projection='geos', lon_0=0.0, llcrnrlon=llon,
>llcrnrlat=llat, urcrnrlon=ulon, urcrnrlat=ulat,
>
Hi Jeff,
many thanks that was exactly the problem!
Martin
Jeff Whitaker wrote:
>
> On 9/13/10 8:02 AM, mdekauwe wrote:
>> Hi,
>>
>> Well I tried...
>>
>> numrows = 17
>> numcols = 16
>> ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
>> m = Basemap(projection='geos', lon_0=0.0, llcrnrlo
On 9/13/10 8:02 AM, mdekauwe wrote:
> Hi,
>
> Well I tried...
>
> numrows = 17
> numcols = 16
> ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
> m = Basemap(projection='geos', lon_0=0.0, llcrnrlon=llon,
> llcrnrlat=llat, urcrnrlon=ulon, urcrnrlat=ulat,
> res
Hi,
Well I tried...
numrows = 17
numcols = 16
ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
m = Basemap(projection='geos', lon_0=0.0, llcrnrlon=llon,
llcrnrlat=llat, urcrnrlon=ulon, urcrnrlat=ulat,
resolution='c')
data2 = np.random.sample((17,16))
print 'D
On Mon, Sep 13, 2010 at 8:21 AM, mdekauwe wrote:
>
> Hi,
>
> Well hopefully doing what you suggested correctly...
>
> numrows = 17
> numcols = 16
> ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
> m = Basemap(projection='geos', lon_0=0.0, llcrnrlon=llon,
> llcrnrlat=
Hi,
Well hopefully doing what you suggested correctly...
numrows = 17
numcols = 16
ulat, llat, ulon, llon = 15.61, 15.15, -1.32, -1.74
m = Basemap(projection='geos', lon_0=0.0, llcrnrlon=llon,
llcrnrlat=llat, urcrnrlon=ulon, urcrnrlat=ulat,
resolu
On Mon, Sep 13, 2010 at 7:45 AM, mdekauwe wrote:
>
> Hi,
>
> If I set up a random example and plot it as a contour it seems to work
> fine...e.g.
>
> import matplotlb.pyplot as plt
> import numpy as np
>
> data2 = np.random.sample((17,16))
> x = np.linspace(-1.74, -1.32, 16)
> y = np.linspace(15.1
Hi,
If I set up a random example and plot it as a contour it seems to work
fine...e.g.
import matplotlb.pyplot as plt
import numpy as np
data2 = np.random.sample((17,16))
x = np.linspace(-1.74, -1.32, 16)
y = np.linspace(15.15, 15.61, 17)
X, Y = np.meshgrid(x, y)
plt.contour(X, Y, data2,
