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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<h1>image<a class="headerlink" href="#image" title="Permalink to this headline">¶</a></h1>

<h2><a class="reference internal" href="#module-matplotlib.image" title="matplotlib.image"><code class="xref py py-mod docutils literal">matplotlib.image</code></a><a class="headerlink" href="#module-matplotlib.image" title="Permalink to this headline">¶</a></h2>

The image module supports basic image loading, rescaling and display

operations.

class <code class="descclassname">matplotlib.image.</code><code class="descname">AxesImage</code>(ax, cmap=None, norm=None, interpolation=None, origin=None, extent=None, filternorm=1, filterrad=4.0, resample=False, **kwargs)<a class="headerlink" href="#matplotlib.image.AxesImage" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">matplotlib.image._AxesImageBase</code>

interpolation and cmap default to their rc settings

cmap is a colors.Colormap instance

norm is a colors.Normalize instance to map luminance to 0-1

extent is data axes (left, right, bottom, top) for making image plots

registered with data plots. Default is to label the pixel

centers with the zero-based row and column indices.

Additional kwargs are matplotlib.artist properties

<code class="descname">get_cursor_data</code>(event)<a class="headerlink" href="#matplotlib.image.AxesImage.get_cursor_data" title="Permalink to this definition">¶</a></dt>

<dd>Get the cursor data for a given event

</dd></dl>

<code class="descname">get_extent</code>()<a class="headerlink" href="#matplotlib.image.AxesImage.get_extent" title="Permalink to this definition">¶</a></dt>

<dd>Get the image extent: left, right, bottom, top

</dd></dl>

<code class="descname">get_window_extent</code>(renderer=None)<a class="headerlink" href="#matplotlib.image.AxesImage.get_window_extent" title="Permalink to this definition">¶</a></dt>

<code class="descname">make_image</code>(magnification=1.0)<a class="headerlink" href="#matplotlib.image.AxesImage.make_image" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_extent</code>(extent)<a class="headerlink" href="#matplotlib.image.AxesImage.set_extent" title="Permalink to this definition">¶</a></dt>

<dd>extent is data axes (left, right, bottom, top) for making image plots

This updates ax.dataLim, and, if autoscaling, sets viewLim

to tightly fit the image, regardless of dataLim. Autoscaling

state is not changed, so following this with ax.autoscale_view

will redo the autoscaling in accord with dataLim.

</dd></dl>

class <code class="descclassname">matplotlib.image.</code><code class="descname">BboxImage</code>(bbox, cmap=None, norm=None, interpolation=None, origin=None, filternorm=1, filterrad=4.0, resample=False, interp_at_native=True, **kwargs)<a class="headerlink" href="#matplotlib.image.BboxImage" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <code class="xref py py-class docutils literal">matplotlib.image._AxesImageBase</code>

The Image class whose size is determined by the given bbox.

cmap is a colors.Colormap instance

norm is a colors.Normalize instance to map luminance to 0-1

interp_at_native is a flag that determines whether or not

interpolation should still be applied when the image is

displayed at its native resolution. A common use case for this

is when displaying an image for annotational purposes; it is

treated similarly to Photoshop (interpolation is only used when

displaying the image at non-native resolutions).

kwargs are an optional list of Artist keyword args

<code class="descname">contains</code>(mouseevent)<a class="headerlink" href="#matplotlib.image.BboxImage.contains" title="Permalink to this definition">¶</a></dt>

<dd>Test whether the mouse event occured within the image.

</dd></dl>

<code class="descname">draw</code>(artist, renderer, *args, **kwargs)<a class="headerlink" href="#matplotlib.image.BboxImage.draw" title="Permalink to this definition">¶</a></dt>

<dd>Get the numrows, numcols of the input image

</dd></dl>

<code class="descname">get_window_extent</code>(renderer=None)<a class="headerlink" href="#matplotlib.image.BboxImage.get_window_extent" title="Permalink to this definition">¶</a></dt>

<code class="descname">make_image</code>(renderer, magnification=1.0)<a class="headerlink" href="#matplotlib.image.BboxImage.make_image" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.image.</code><code class="descname">FigureImage</code>(fig, cmap=None, norm=None, offsetx=0, offsety=0, origin=None, **kwargs)<a class="headerlink" href="#matplotlib.image.FigureImage" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="artist_api.html#matplotlib.artist.Artist" title="matplotlib.artist.Artist"><code class="xref py py-class docutils literal">matplotlib.artist.Artist</code></a>, <a class="reference internal" href="cm_api.html#matplotlib.cm.ScalarMappable" title="matplotlib.cm.ScalarMappable"><code class="xref py py-class docutils literal">matplotlib.cm.ScalarMappable</code></a>

cmap is a colors.Colormap instance

norm is a colors.Normalize instance to map luminance to 0-1

kwargs are an optional list of Artist keyword args

<code class="descname">contains</code>(mouseevent)<a class="headerlink" href="#matplotlib.image.FigureImage.contains" title="Permalink to this definition">¶</a></dt>

<dd>Test whether the mouse event occured within the image.

</dd></dl>

<code class="descname">draw</code>(artist, renderer, *args, **kwargs)<a class="headerlink" href="#matplotlib.image.FigureImage.draw" title="Permalink to this definition">¶</a></dt>

<code class="descname">get_extent</code>()<a class="headerlink" href="#matplotlib.image.FigureImage.get_extent" title="Permalink to this definition">¶</a></dt>

<dd>Get the image extent: left, right, bottom, top

</dd></dl>

<dd>Get the numrows, numcols of the input image

</dd></dl>

<code class="descname">make_image</code>(magnification=1.0)<a class="headerlink" href="#matplotlib.image.FigureImage.make_image" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_array</code>(A)<a class="headerlink" href="#matplotlib.image.FigureImage.set_array" title="Permalink to this definition">¶</a></dt>

<dd>Deprecated; use set_data for consistency with other image types.

</dd></dl>

<dd>Set the image array.

</dd></dl>

<code class="descname">write_png</code>(fname)<a class="headerlink" href="#matplotlib.image.FigureImage.write_png" title="Permalink to this definition">¶</a></dt>

<dd>Write the image to png file with fname

</dd></dl>

<code class="descname">zorder</code> = 0<a class="headerlink" href="#matplotlib.image.FigureImage.zorder" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.image.</code><code class="descname">NonUniformImage</code>(ax, **kwargs)<a class="headerlink" href="#matplotlib.image.NonUniformImage" title="Permalink to this definition">¶</a></dt>

<dd>Bases: <a class="reference internal" href="#matplotlib.image.AxesImage" title="matplotlib.image.AxesImage"><code class="xref py py-class docutils literal">matplotlib.image.AxesImage</code></a>

kwargs are identical to those for AxesImage, except

that ‘interpolation’ defaults to ‘nearest’, and ‘bilinear’

is the only alternative.

<code class="descname">get_extent</code>()<a class="headerlink" href="#matplotlib.image.NonUniformImage.get_extent" title="Permalink to this definition">¶</a></dt>

<code class="descname">make_image</code>(magnification=1.0)<a class="headerlink" href="#matplotlib.image.NonUniformImage.make_image" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_array</code>(*args)<a class="headerlink" href="#matplotlib.image.NonUniformImage.set_array" title="Permalink to this definition">¶</a></dt>

<dd>Set the grid for the pixel centers, and the pixel values.

<dt>x and y are 1-D ndarrays of lengths N and M, respectively,</dt>

<dd>specifying pixel centers</dd>

<dt>A is an (M,N) ndarray or masked array of values to be</dt>

<dd>colormapped, or a (M,N,3) RGB array, or a (M,N,4) RGBA

array.</dd>

</dl>

</div></blockquote>

</dd></dl>

<code class="descname">set_filternorm</code>(s)<a class="headerlink" href="#matplotlib.image.NonUniformImage.set_filternorm" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_filterrad</code>(s)<a class="headerlink" href="#matplotlib.image.NonUniformImage.set_filterrad" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_interpolation</code>(s)<a class="headerlink" href="#matplotlib.image.NonUniformImage.set_interpolation" title="Permalink to this definition">¶</a></dt>

</dd></dl>

class <code class="descclassname">matplotlib.image.</code><code class="descname">PcolorImage</code>(ax, x=None, y=None, A=None, cmap=None, norm=None, **kwargs)<a class="headerlink" href="#matplotlib.image.PcolorImage" title="Permalink to this definition">¶</a></dt>

Make a pcolor-style plot with an irregular rectangular grid.

This uses a variation of the original irregular image code,

and it is used by pcolorfast for the corresponding grid type.

cmap defaults to its rc setting

cmap is a colors.Colormap instance

norm is a colors.Normalize instance to map luminance to 0-1

Additional kwargs are matplotlib.artist properties

<code class="descname">changed</code>()<a class="headerlink" href="#matplotlib.image.PcolorImage.changed" title="Permalink to this definition">¶</a></dt>

<code class="descname">draw</code>(artist, renderer, *args, **kwargs)<a class="headerlink" href="#matplotlib.image.PcolorImage.draw" title="Permalink to this definition">¶</a></dt>

<code class="descname">make_image</code>(magnification=1.0)<a class="headerlink" href="#matplotlib.image.PcolorImage.make_image" title="Permalink to this definition">¶</a></dt>

<code class="descname">set_alpha</code>(alpha)<a class="headerlink" href="#matplotlib.image.PcolorImage.set_alpha" title="Permalink to this definition">¶</a></dt>

<dd>Set the alpha value used for blending - not supported on

all backends

ACCEPTS: float

</dd></dl>

<code class="descname">set_array</code>(*args)<a class="headerlink" href="#matplotlib.image.PcolorImage.set_array" title="Permalink to this definition">¶</a></dt>

</dd></dl>

<code class="descclassname">matplotlib.image.</code><code class="descname">imread</code>(fname, format=None)<a class="headerlink" href="#matplotlib.image.imread" title="Permalink to this definition">¶</a></dt>

<dd>Read an image from a file into an array.

fname may be a string path, a valid URL, or a Python

file-like object. If using a file object, it must be opened in binary

mode.

If format is provided, will try to read file of that type,

otherwise the format is deduced from the filename. If nothing can

be deduced, PNG is tried.

Return value is a <code class="xref py py-class docutils literal">numpy.array</code>. For grayscale images, the

return array is MxN. For RGB images, the return value is MxNx3.

For RGBA images the return value is MxNx4.

matplotlib can only read PNGs natively, but if <a class="reference external" href="http://www.pythonware.com/products/pil/">PIL</a> is installed, it will

use it to load the image and return an array (if possible) which

can be used with <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.imshow" title="matplotlib.pyplot.imshow"><code class="xref py py-func docutils literal">imshow()</code></a>. Note, URL strings

may not be compatible with PIL. Check the PIL documentation for more

information.

</dd></dl>

<code class="descclassname">matplotlib.image.</code><code class="descname">imsave</code>(fname, arr, vmin=None, vmax=None, cmap=None, format=None, origin=None, dpi=100)<a class="headerlink" href="#matplotlib.image.imsave" title="Permalink to this definition">¶</a></dt>

<dd>Save an array as in image file.

The output formats available depend on the backend being used.

<dt>Arguments:</dt>

<dt>fname:</dt>

<dd>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.</dd>

<dd>An MxN (luminance), MxNx3 (RGB) or MxNx4 (RGBA) array.</dd>

</dl>

</dd>

<dt>Keyword arguments:</dt>

<dt>vmin/vmax: [ None | scalar ]</dt>

<dd>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.</dd>

<dd>cmap is a colors.Colormap instance, e.g., cm.jet.

If None, default to the rc image.cmap value.</dd>

<dt>format:</dt>

<dd>One of the file extensions supported by the active

backend. Most backends support png, pdf, ps, eps and svg.</dd>

<dt>origin</dt>

<dd>[ ‘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.</dd>

<dd>The DPI to store in the metadata of the file. This does not affect the

resolution of the output image.</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="descclassname">matplotlib.image.</code><code class="descname">pil_to_array</code>(pilImage)<a class="headerlink" href="#matplotlib.image.pil_to_array" title="Permalink to this definition">¶</a></dt>

<dd>Load a PIL image and return it as a numpy array. For grayscale

images, the return array is MxN. For RGB images, the return value

is MxNx3. For RGBA images the return value is MxNx4

</dd></dl>

<code class="descclassname">matplotlib.image.</code><code class="descname">thumbnail</code>(infile, thumbfile, scale=0.1, interpolation='bilinear', preview=False)<a class="headerlink" href="#matplotlib.image.thumbnail" title="Permalink to this definition">¶</a></dt>

<dd>make a thumbnail of image in infile with output filename

thumbfile.

<dt>infile the image file – must be PNG or Pillow-readable if you</dt>

<dd>have <a class="reference external" href="http://python-pillow.github.io/">Pillow</a> installed</dd>

<dt>thumbfile</dt>

<dd>the thumbnail filename</dd>

<dt>scale</dt>

<dd>the scale factor for the thumbnail</dd>

<dt>interpolation</dt>

<dd>the interpolation scheme used in the resampling</dd>

<dt>preview</dt>

<dd>if True, the default backend (presumably a user interface

backend) will be used which will cause a figure to be raised

if <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.show" title="matplotlib.pyplot.show"><code class="xref py py-func docutils literal">show()</code></a> is called. If it is False,

a pure image backend will be used depending on the extension,

‘png’->FigureCanvasAgg, ‘pdf’->FigureCanvasPdf,

‘svg’->FigureCanvasSVG</dd>

</dl>

</div></blockquote>

See examples/misc/image_thumbnail.py.

<a class="reference internal" href="../examples/misc/image_thumbnail.html#misc-image-thumbnail">misc example code: image_thumbnail.py</a>Return value is the figure instance containing the thumbnail

</dd></dl>

</div>

</div>

Last updated on Dec 19, 2016.

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position:absolute; z-index=1000004; right:-16px; top:-16px; display:block; cursor:pointer;

}

.floating_button{

display: block; margin-top: 0px; margin-left: 0px; width:auto ; height: auto;

position:fixed; z-index:999999; overflow: auto;

}

@keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-moz-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-webkit-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-o-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@-ms-keyframes backfadesin {

from { opacity:0; }

to {opacity:.5;}

}

@keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; transform: translateY(20px);}

100% {opacity: 1; transform: translateY(0);}

}

@-moz-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -moz-transform: translateY(20px);}

100% {opacity: 1; -moz-transform: translateY(0);}

}

@-webkit-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -webkit-transform: translateY(20px);}

100% {opacity: 1; -webkit-transform: translateY(0);}

}

@-o-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -o-transform: translateY(20px);}

100% {opacity: 1; -o-transform: translateY(0);}

}

@-ms-keyframes fadesin {

0%{ opacity:0; }

50%{ opacity:0; }

75% {opacity: 0; -ms-transform: translateY(20px);}

100% {opacity: 1; -ms-transform: translateY(0);}

}

</style>

function open_window(cause_id) {

var protocol=String(document.location.protocol);

var new_url;

if( /Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)){

new_url="https://www.flipcause.com/widget/"+cause_id

window.open(new_url);

}

else {

document.getElementById("fc-fade").style.display = "block";

document.getElementById("fc-fade").style.webkitAnimation = "backfadesin 1s";

document.getElementById("fc-fade").style.animation = "backfadesin 1s";

document.getElementById("fc-fade").style.mozAnimation = "backfadesin 1s";

document.getElementById("fc-light").style.display = "block";

document.getElementById("fc-light").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-light").style.animation = "fadesin 1.5s";

document.getElementById("fc-light").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-main").style.display = "block";

document.getElementById("fc-main").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-main").style.animation = "fadesin 1.5s";

document.getElementById("fc-main").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-close").style.display = "block";

document.getElementById("fc-close").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-close").style.animation = "fadesin 1.5s";

document.getElementById("fc-close").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.display = "block";

document.getElementById("fc-myFrame").style.webkitAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.animation = "fadesin 1.5s";

document.getElementById("fc-myFrame").style.mozAnimation = "fadesin 1.5s";

document.getElementById("fc-myFrame").src="https://www.flipcause.com/widget/"+cause_id;

}

function close_window() {

document.getElementById("fc-fade").style.display="none";

document.getElementById("fc-light").style.display="none";

document.getElementById("fc-main").style.display="none";

document.getElementById("fc-close").style.display="none";

document.getElementById("fc-myFrame").style.display="none";

}

</script>

</div><iframe id="fc-myFrame" iframe height="580" width="925" style="border: 0;

border-radius:5px 5px 5px 5px; box-shadow:0 0 8px rgba(0, 0, 0, 0.5);" scrolling="no" src=""></iframe></div>

</div>

</footer>

</html>

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