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DOC: add tutorial explaining imshow *origin* and *extent*#10947

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jklymak merged 4 commits intomatplotlib:masterfromtacaswell:doc_imshow_extent
May 2, 2018
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2 changes: 1 addition & 1 deletiondoc/_static/mpl.css
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Original file line numberDiff line numberDiff line change
Expand Up@@ -416,7 +416,7 @@ div.deprecated span.versionmodified {
font-weight: bold;
}

div.green {
div.green, div.hint {
color: #468847;
background-color: #dff0d8;
border: 1px solid #d6e9c6;
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265 changes: 265 additions & 0 deletionstutorials/intermediate/imshow_extent.py
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@@ -0,0 +1,265 @@
"""
*origin* and *extent* in `~.Axes.imshow`
========================================
:meth:`~.Axes.imshow` allows you to render an image (either a 2D array
which will be color-mapped (based on *norm* and *cmap*) or and 3D RGB(A)
array which will be used as-is) to a rectangular region in dataspace.
The orientation of the image in the final rendering is controlled by
the *origin* and *extent* kwargs (and attributes on the resulting
`~.AxesImage` instance) and the data limits of the axes.
The *extent* kwarg controls the bounding box in data coordinates that
the image will fill specified as ``(left, right, bottom, top)`` in
**data coordinates**, the *origin* kwarg controls how the image fills
that bounding box, and the orientation in the final rendered image is
also affected by the axes limits.
.. hint:: Most of the code below is used for adding labels and informative
text to the plots. The described effects of *origin* and *extent* can be
seen in the plots without the need to follow all code details.
For a quick understanding, you may want to skip the code details below and
directly continue with the discussion of the results.
"""
importnumpyasnp
importmatplotlib.pyplotasplt
frommatplotlib.gridspecimportGridSpec


defindex_to_coordinate(index,extent,origin):
"""Return the pixel center of an index."""
left,right,bottom,top=extent

hshift=0.5*np.sign(right-left)
left,right=left+hshift,right-hshift
vshift=0.5*np.sign(top-bottom)
bottom,top=bottom+vshift,top-vshift

iforigin=='upper':
bottom,top=top,bottom

return {
"[0, 0]": (left,bottom),
"[M', 0]": (left,top),
"[0, N']": (right,bottom),
"[M', N']": (right,top),
}[index]


defget_index_label_pos(index,extent,origin,inverted_xindex):
"""
Return the desired position and horizontal alignment of an index label.
"""
ifextentisNone:
extent=lookup_extent(origin)
left,right,bottom,top=extent
x,y=index_to_coordinate(index,extent,origin)

is_x0=index[-2:]=="0]"
halign='left'ifis_x0^inverted_xindexelse'right'
hshift=0.5*np.sign(left-right)
x+=hshift* (1ifis_x0else-1)
returnx,y,halign


defget_color(index,data,cmap):
"""Return the data color of an index."""
val= {
"[0, 0]":data[0,0],
"[0, N']":data[0,-1],
"[M', 0]":data[-1,0],
"[M', N']":data[-1,-1],
}[index]
returncmap(val/data.max())


deflookup_extent(origin):
"""Return extent for label positioning when not given explicitly."""
iforigin=='lower':
return (-0.5,6.5,-0.5,5.5)
else:
return (-0.5,6.5,5.5,-0.5)


defset_extent_None_text(ax):
ax.text(3,2.5,'equals\nextent=None',size='large',
ha='center',va='center',color='w')


defplot_imshow_with_labels(ax,data,extent,origin,xlim,ylim):
"""Actually run ``imshow()`` and add extent and index labels."""
im=ax.imshow(data,origin=origin,extent=extent)

# extent labels (left, right, bottom, top)
left,right,bottom,top=im.get_extent()
ifxlimisNoneortop>bottom:
upper_string,lower_string='top','bottom'
else:
upper_string,lower_string='bottom','top'
ifylimisNoneorleft<right:
port_string,starboard_string='left','right'
inverted_xindex=False
else:
port_string,starboard_string='right','left'
inverted_xindex=True
bbox_kwargs= {'fc':'w','alpha':.75,'boxstyle':"round4"}
ann_kwargs= {'xycoords':'axes fraction',
'textcoords':'offset points',
'bbox':bbox_kwargs}
ax.annotate(upper_string,xy=(.5,1),xytext=(0,-1),
ha='center',va='top',**ann_kwargs)
ax.annotate(lower_string,xy=(.5,0),xytext=(0,1),
ha='center',va='bottom',**ann_kwargs)
ax.annotate(port_string,xy=(0,.5),xytext=(1,0),
ha='left',va='center',rotation=90,
**ann_kwargs)
ax.annotate(starboard_string,xy=(1,.5),xytext=(-1,0),
ha='right',va='center',rotation=-90,
**ann_kwargs)
ax.set_title('origin: {origin}'.format(origin=origin))

# index labels
forindexin ["[0, 0]","[0, N']","[M', 0]","[M', N']"]:
tx,ty,halign=get_index_label_pos(index,extent,origin,
inverted_xindex)
facecolor=get_color(index,data,im.get_cmap())
ax.text(tx,ty,index,color='white',ha=halign,va='center',
bbox={'boxstyle':'square','facecolor':facecolor})
ifxlim:
ax.set_xlim(*xlim)
ifylim:
ax.set_ylim(*ylim)


defgenerate_imshow_demo_grid(extents,xlim=None,ylim=None):
N=len(extents)
fig=plt.figure(tight_layout=True)
fig.set_size_inches(6,N* (11.25)/5)
gs=GridSpec(N,5,figure=fig)

columns= {'label': [fig.add_subplot(gs[j,0])forjinrange(N)],
'upper': [fig.add_subplot(gs[j,1:3])forjinrange(N)],
'lower': [fig.add_subplot(gs[j,3:5])forjinrange(N)]}
x,y=np.ogrid[0:6,0:7]
data=x+y

fororiginin ['upper','lower']:
forax,extentinzip(columns[origin],extents):
plot_imshow_with_labels(ax,data,extent,origin,xlim,ylim)

forax,extentinzip(columns['label'],extents):
text_kwargs= {'ha':'right',
'va':'center',
'xycoords':'axes fraction',
'xy': (1,.5)}
ifextentisNone:
ax.annotate('None',**text_kwargs)
ax.set_title('extent=')
else:
left,right,bottom,top=extent
text= ('left: {left:0.1f}\nright: {right:0.1f}\n'+
'bottom: {bottom:0.1f}\ntop: {top:0.1f}\n').format(
left=left,right=right,bottom=bottom,top=top)

ax.annotate(text,**text_kwargs)
ax.axis('off')
returncolumns


###############################################################################
#
# Default extent
# --------------
#
# First, let's have a look at the default `extent=None`

generate_imshow_demo_grid(extents=[None])

###############################################################################
#
# Generally, for an array of shape (M, N), the first index runs along the
# vertical, the second index runs along the horizontal.
# The pixel centers are at integer positions ranging from 0 to ``N' = N - 1``
# horizontally and from 0 to ``M' = M - 1`` vertically.
# *origin* determines how to the data is filled in the bounding box.
#
# For ``origin='lower'``:
#
# - [0, 0] is at (left, bottom)
# - [M', 0] is at (left, top)
# - [0, N'] is at (right, bottom)
# - [M', N'] is at (right, top)
#
# ``origin='upper'`` reverses the vertical axes direction and filling:
#
# - [0, 0] is at (left, top)
# - [M', 0] is at (left, bottom)
# - [0, N'] is at (right, top)
# - [M', N'] is at (right, bottom)
#
# In summary, the position of the [0, 0] index as well as the extent are
# influenced by *origin*:
#
# ====== =============== ==========================================
# origin [0, 0] position extent
# ====== =============== ==========================================
# upper top left ``(-0.5, numcols-0.5, numrows-0.5, -0.5)``
# lower bottom left ``(-0.5, numcols-0.5, -0.5, numrows-0.5)``
# ====== =============== ==========================================
#
# The default value of *origin* is set by :rc:`image.origin` which defaults
# to ``'upper'`` to match the matrix indexing conventions in math and
# computer graphics image indexing conventions.
#
#
# Explicit extent
# ---------------
#
# By setting *extent* we define the coordinates of the image area. The
# underlying image data is interpolated/resampled to fill that area.
#
# If the axes is set to autoscale, then the view limits of the axes are set
# to match the *extent* which ensures that the coordinate set by
# ``(left, bottom)`` is at the bottom left of the axes! However, this
# may invert the axis so they do not increase in the 'natural' direction.
#

extents= [(-0.5,6.5,-0.5,5.5),
(-0.5,6.5,5.5,-0.5),
(6.5,-0.5,-0.5,5.5),
(6.5,-0.5,5.5,-0.5)]

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This set of examples doesn't really help me because the "extents" is still the same as the extents I'd expect from the underlying data array size. Wouldn't it be more illustrative to go from 0-15 or something? The phrase "...a bounding box in data space" is also mysterious. I think of the matrix as being the data and a bounding box on the data means a clip to me. But what you mean is that the extents are the x and y co-ordinates over which the matrix is placed.

The docs say "The location, in data-coordinates, of the lower-left and upper-right corners" ; I prefer "data-coordinates"

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The point is to show how inverting the left vs right or top vs bottom changes the image around. Using different limits would make that a harder apples-to-apples comparison.

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yes But it didn’t help me understand what extents actually is on the first place

I’ll admit this flipping the axes seems like the wrong behaviour. I’d have expected the matrix to flip. But I doubt I’ll get that changed here. ;-)

columns=generate_imshow_demo_grid(extents)
set_extent_None_text(columns['upper'][1])
set_extent_None_text(columns['lower'][0])


###############################################################################
#
# Explicit extent and axes limits
# -------------------------------
#
# If we fix the axes limits by explicity setting `set_xlim` / `set_ylim`, we
# force a certain size and orientation of the axes.
# This can decouple the 'left-right' and 'top-bottom' sense of the image from
# the orientation on the screen.
#
# In the example below we have chosen the limits slightly larger than the
# extent (note the white areas within the Axes).
#
# While we keep the extents as in the examples before, the coordinate (0, 0)
# is now explicitly put at the bottom left and values increase to up and to
# the right (from the viewer point of view).
# We can see that:
#
# - The coordinate ``(left, bottom)`` anchors the image which then fills the
# box going towards the ``(right, top)`` point in data space.
# - The first column is always closest to the 'left'.
# - *origin* controls if the first row is closest to 'top' or 'bottom'.
# - The image may be inverted along either direction.
# - The 'left-right' and 'top-bottom' sense of the image may be uncoupled from
# the orientation on the screen.

generate_imshow_demo_grid(extents=[None]+extents,
xlim=(-2,8),ylim=(-1,6))

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