On Tue, Dec 20, 2011 at 9:22 AM, Brad Malone <brad.mal...@gmail.com> wrote:
> HI Paul,
>
> Thanks. I didn't realize it was that simple (appears that doing this
> essentially plots everything against integers in x and y). This will be a
> good backup plan if I can't get pcolor to work, although as you say, I'll
> have to fiddle around some with the axis formatters and such I suppose to
> get a good final plot out of this.
>
> Best,
> Brad
>
> On Tue, Dec 20, 2011 at 12:12 AM, Paul Ivanov <pivanov...@gmail.com>wrote:
>
>> Hey again, Brad,
>>
>> Brad Malone, on 2011-12-19 23:44, wrote:
>> > Hi, I am plotting a grid with pcolor. Below I've got a 1000x1000 grid.
>> >
>> > xi=linspace(-0.1,x[-1]+2,1000)
>> > > yi=linspace(-0.1,maxfreq+10,1000)
>> > > print 'Calling griddata...'
>> > > zi=griddata(x,y,z,xi,yi,interp='nn')
>> > > plt.pcolor(xi,yi,zi,cmap=plt.cm.hot)
>> ...
>> > How could I modify my above data (which is in xi,yi,and zi) to
>> > work with imshow (which seems to take 1 argument for data).
>>
>> Try either:
>>
>> plt.matshow(zi,cmap=plt.cm.hot)
>>
>> or
>>
>> plt.imshow(zi,cmap=plt.cm.hot)
>>
>> The first should be the quickest - it doesn't do any
>> fancy interpolation, and actually just passes some arguments to
>> the second. Using imshow directly, however, allows you to set a
>> different type of interpolation, should you desire it. If
>> you want xi and yi to be accurately reflect in the plot, you
>> might have to play around with changing the axis formatters
>> (though there might be an easier way of doing that, which escapes
>> me right now)
>>
>> best,
>> --
>> Paul Ivanov
>>
>
You may also want to try:
plt.pcolormesh(xi,yi,zi,cmap=plt.cm.hot)
If I remember correctly, pcolormesh is faster but a bit more restrictive.
(I think it's slower than matshow and imshow).
-Tony
P.S. I never knew about matshow; thanks Paul!
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