Thanks for the quick test and comments Andrew. I've made your suggested
changes and attached a new patch.
Gary
Andrew Straw wrote:
Hi Gary, I have a couple comments:
1) No need for:
+ ax = fig.add_subplot(111)
+ ax.set_axis_off()
2) It's probably best to have maximum compatibility with imshow().
Therefore, use vmin=None and vmax=None as keyword arguments (rather than
clims).
Otherwise, I tested and it works for me.
-Andrew
Index: matplotlib/CHANGELOG
===================================================================
--- matplotlib/CHANGELOG (revision 6889)
+++ matplotlib/CHANGELOG (working copy)
@@ -1,3 +1,6 @@
+2009-02-08 Added a new imsave function to image.py and exposed it in
+ the pyplot interface - GR
+
2009-02-04 Some reorgnization of the legend code. anchored_text.py
added as an example. - JJL
Index: matplotlib/doc/_templates/index.html
===================================================================
--- matplotlib/doc/_templates/index.html (revision 6889)
+++ matplotlib/doc/_templates/index.html (working copy)
@@ -567,6 +567,17 @@
</tr>
<tr>
<th align="left">
+ <a href="api/pyplot_api.html#matplotlib.pyplot.imsave">imsave</a>
+
+ </th>
+
+ <td align="left">
+ save array as an image file
+ </td>
+
+ </tr>
+ <tr>
+ <th align="left">
<a href="api/pyplot_api.html#matplotlib.pyplot.imshow">imshow</a>
</th>
Index: matplotlib/doc/api/api_changes.rst
===================================================================
--- matplotlib/doc/api/api_changes.rst (revision 6889)
+++ matplotlib/doc/api/api_changes.rst (working copy)
@@ -19,6 +19,9 @@
Changes for 0.98.x
==================
+* Added new :func:`matplotlib.image.imsave` and exposed it to the
+ :mod:`matplotlib.pyplot` interface.
+
* Remove support for pyExcelerator in exceltools -- use xlwt
instead
Index: matplotlib/lib/matplotlib/pyplot.py
===================================================================
--- matplotlib/lib/matplotlib/pyplot.py (revision 6889)
+++ matplotlib/lib/matplotlib/pyplot.py (working copy)
@@ -6,6 +6,7 @@
from matplotlib.figure import Figure, figaspect
from matplotlib.backend_bases import FigureCanvasBase
from matplotlib.image import imread as _imread
+from matplotlib.image import imsave as _imsave
from matplotlib import rcParams, rcParamsDefault, get_backend
from matplotlib.rcsetup import interactive_bk as _interactive_bk
from matplotlib.artist import getp, get, Artist
@@ -1181,6 +1182,7 @@
legend add a legend to the axes
loglog a log log plot
imread load image file into array
+ imsave save array as an image file
imshow plot image data
matshow display a matrix in a new figure preserving aspect
pcolor make a pseudocolor plot
@@ -1230,7 +1232,7 @@
def get_plot_commands(): return ( 'axes', 'axis', 'bar', 'boxplot', 'cla',
'clf',
'close', 'colorbar', 'cohere', 'csd', 'draw', 'errorbar',
'figlegend', 'figtext', 'figimage', 'figure', 'fill', 'gca',
- 'gcf', 'gci', 'get', 'gray', 'barh', 'jet', 'hist', 'hold', 'imread',
+ 'gcf', 'gci', 'get', 'gray', 'barh', 'jet', 'hist', 'hold', 'imread',
'imsave',
'imshow', 'legend', 'loglog', 'quiver', 'rc', 'pcolor', 'pcolormesh',
'plot', 'psd',
'savefig', 'scatter', 'set', 'semilogx', 'semilogy', 'show',
'specgram', 'stem', 'subplot', 'table', 'text', 'title', 'xlabel',
@@ -1370,6 +1372,11 @@
if _imread.__doc__ is not None:
imread.__doc__ = dedent(_imread.__doc__)
+def imsave(*args, **kwargs):
+ return _imsave(*args, **kwargs)
+if _imsave.__doc__ is not None:
+ imsave.__doc__ = dedent(_imsave.__doc__)
+
def matshow(A, fignum=None, **kw):
"""
Display an array as a matrix in a new figure window.
Index: matplotlib/lib/matplotlib/pylab.py
===================================================================
--- matplotlib/lib/matplotlib/pylab.py (revision 6889)
+++ matplotlib/lib/matplotlib/pylab.py (working copy)
@@ -50,6 +50,7 @@
ion - turn interaction mode on
isinteractive - return True if interaction mode is on
imread - load image file into array
+ imsave - save array as an image file
imshow - plot image data
ishold - return the hold state of the current axes
legend - make an axes legend
Index: matplotlib/lib/matplotlib/image.py
===================================================================
--- matplotlib/lib/matplotlib/image.py (revision 6889)
+++ matplotlib/lib/matplotlib/image.py (working copy)
@@ -747,7 +747,43 @@
return handler(fname)
+def imsave(fname, arr, vmin=None, vmax=None, cmap=None, format=None,
origin=None):
+ """
+ Saves a 2D :class:`numpy.array` as an 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:
+ *vmin*/*vmax*: [ None | scalar ]
+ *vmin* and *vmax* set the color scaling for the image by fixing the
+ values that map to the colormap color limits. If either *vmin* or
*vmax*
+ is None, that limit is determined from the *arr* min/max value.
+ *cmap*:
+ cmap is a colors.Colormap instance, eg cm.jet.
+ If None, default to the rc image.cmap value.
+ *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.
+ """
+ from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas
+ from matplotlib.figure import Figure
+
+ fig = Figure(figsize=arr.shape[::-1], dpi=1, frameon=False)
+ canvas = FigureCanvas(fig)
+ fig.figimage(arr, cmap=cmap, vmin=vmin, vmax=vmax, origin=origin)
+ fig.savefig(fname, dpi=1, format=format)
+
+
def pil_to_array( pilImage ):
"""
load a PIL image and return it as a numpy array of uint8. For
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