Hi,
I've attached a patch against the mpl head in response to John's
suggestion and helpful pointers on the users list. This adds a new
function imsave to complement imread in the image module. I've also
exposed it in the pyplot interface.
If this is presumptuous, feel free to remove it from the patch or ask me
to remove it. This is my first contribution to matplotlib for a while
and my first attempt at a patch like this.
Because I don't build matplotlib from source, I've done what testing I
can without fully rebuilding matplotlib. I'd be reluctant to have this
patch applied without someone else checking it first. It's pretty simple
so applying it locally and running the demo file should be a good enough
test.
thanks,
Gary Ruben
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 +747,49 @@
return handler(fname)
+def imsave(fname, arr, clims=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:
+ *clims*:
+ clims is a tuple (vmin, vmax) that sets the color scaling for the
image.
+ 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, 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)
+ ax = fig.add_subplot(111)
+ ax.set_axis_off()
+ if clims is None:
+ vmin = vmax = None
+ else:
+ vmin,vmax = clims
+ 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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