Hi all,
I've attached a candidate imsave() to complement imread() in the
image.py module. Would my use of pyplot instead of the oo interface
preclude its inclusion in image.py? Also, I noticed some problems when I
ran the tests with the Wx backends with mpl 0.98.5.2 in Win32. Both of
the Wx backends produce incorrect, but different, results.
Gary R.
import numpy as np
import matplotlib as mpl
# Backend tests - uncomment in turn
# mpl.use('Agg')
# mpl.use('TkAgg')
# mpl.use('WxAgg') # problem in Win32 with mpl 0.98.5.2
# mpl.use('Wx') # several problems in Win32 with mpl 0.98.5.2
# mpl.use('GTK')
# mpl.use('GTKAgg')
import matplotlib.pyplot as plt
from matplotlib import rcParams
import matplotlib.image as mpi
from matplotlib import cm
def imsave(fname, arr, clims=None, cmap=None, format=None, origin=None):
"""
Saves a 2D array as a bitmapped image with one pixel per element.
The output formats available depend on the backend being used.
Arguments:
*fname*:
A string containing a path to a filename, or a Python file-like object.
If *format* is *None* and *fname* is a string, the output
format is deduced from the extension of the filename.
*arr*:
A 2D array.
Keyword arguments:
*clims*:
clims sets the color scaling for the image.
It is a tuple (vmin, vmax) that is passed through to the pyplot clim
function.
If either *vmin* or *vmax* is None, the image min/max respectively
will be used for color scaling.
*cmap*:
cmap is a colors.Colormap instance.
*format*:
One of the file extensions supported by the active
backend. Most backends support png, pdf, ps, eps and svg.
*origin*
[ 'upper' | 'lower' ] Indicates where the [0,0] index of
the array is in the upper left or lower left corner of
the axes. Defaults to the rc image.origin value.
"""
ydim, xdim = arr.shape
if cmap is None: cmap = eval('cm.' + rcParams['image.cmap'])
if origin is None: origin = rcParams['image.origin']
f = plt.figure(figsize=(xdim,ydim), dpi=1)
plt.axes([0,0,xdim,ydim])
plt.axis('off')
plt.figimage(arr, cmap=cmap, origin=origin)
if clims is not None: plt.clim(*clims)
plt.savefig(fname, dpi=1, format=format)
# tests
imsave('test1.png', np.tri(100), origin='lower')
imsave('test2.png', np.tri(100), origin='upper')
imsave('test3png', np.random.random((100,100)), cmap=cm.Oranges, format='png')
imsave('test4.png',
np.hstack((np.tri(100)+np.tri(100)[:,::-1],np.vstack((np.eye(50),np.ones((50,50))*0.75)))),cmap=cm.gray)
imsave('test5.png',
np.vstack((np.tri(100),np.hstack((np.eye(50),np.ones((50,50))*0.25)))),cmap=cm.gray)
imsave('test6.png', np.vstack((np.ones((100,100)),np.zeros((50,100)))))
imsave('test7.png', np.eye(2))
imsave('test8.png', np.array([[1]]))
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