I guess it was a FAQ
The correct way - after experimenting with imshow options - is to transpose the data and use origin='lower' option
imshow(c.T,interpolation='nearest',origin='lower')
Piotr
路路路
----- Original Message ----
From: Piotr Zolnierczuk <zolnie@...9...>
To: matplotlib-users@lists.sourceforge.net
Sent: Friday, February 22, 2008 2:31:08 PM
Subject: [Matplotlib-users] imshow: axis not natural
Hi,
it is probably a faq - but I could not find it anywhere.
I would like to plot a 2D distribution (2D histogram) of some data using a 2D numpy.array that contains my data: c[ix,iy]
When I plot it via imshow the x axis points downwards and the y axis point to the left.
What I want is that the x-axis points to the left and the y axis points upwards.
So I ended up writing a small script twodimshow (below) where I transpose data (x<->y) and also flip the sign of the y-axis
Now: is there a better way of doing it?
See also CERN Root C++ package (ftp://root.cern.ch/root/doc/3Histograms.pdf) and/or (SLAC HIPPO (http://www.slac.stanford.edu/grp/ek/hippodraw/)
------------------- CODE BELOW ---------------------------
import numpy
from pylab import *
def convertToImShow(data,copy=True):
聽聽聽聽聽聽'''Converts data so that imshow displays x,y as a normal
聽聽聽聽聽聽physicist expects ie x pointing left and y pointing up'''
聽聽聽聽聽聽data = numpy.array(data.T,copy=copy)
聽聽聽聽聽聽if data.ndim != 2:
聽聽聽聽聽聽聽聽聽聽聽聽raise TypeError,'data must be a two-dimensional matrix'
聽聽聽聽聽聽nx,ny = data.shape
聽聽聽聽聽聽for i in range(nx/2):
聽聽聽聽聽聽聽聽聽聽聽聽j= nx - i - 1
聽聽聽聽聽聽聽聽聽聽聽聽for k in range(ny): data[j,k],data[i,k]=data[i,k],data[j,k]
聽聽聽聽聽聽return data
def twodimshow(data,extent=None,aspect=None):
聽聽聽聽聽聽r = convertToImShow(data)
聽聽聽聽聽聽if not aspect and extent:
聽聽聽聽聽聽聽聽聽聽聽聽if len(extent)>=4:
聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽aspect = (extent[1] - extent[0])/float(extent[3] - extent[2])
聽聽聽聽聽聽imshow(r,extent=extent,aspect=aspect,interpolation='nearest')
if __name__ == "__main__":
聽聽聽聽聽聽c = zeros((4,4))
聽聽聽聽聽聽for ix in range(4):
聽聽聽聽聽聽聽聽聽聽聽聽for iy in range(ix):
聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽聽c[ix,iy]=ix+iy
聽聽聽聽聽聽figure()
聽聽聽聽聽聽subplot(221)
聽聽聽聽聽聽imshow(c ,interpolation='nearest')
聽聽聽聽聽聽title('Axis direction not natural')
聽聽聽聽聽聽xlabel('Y-Axis'); ylabel('X-Axis')
聽聽聽聽聽聽subplot(222)
聽聽聽聽聽聽imshow(c.T ,interpolation='nearest')
聽聽聽聽聽聽title('Not there yet')
聽聽聽聽聽聽xlabel('X-Axis'); ylabel('Y-Axis')
聽聽聽聽聽聽subplot(223)
聽聽聽聽聽聽twodimshow(c,extent=(0,4,0,4))
聽聽聽聽聽聽title('That is what I want')
聽聽聽聽聽聽xlabel('X-Axis'); ylabel('Y-Axis')
聽聽聽聽聽聽show()
聽聽聽聽聽聽聽聽聽____________________________________________________________________________________
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