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Changes for 0.98.x
==================
* Deprecated (raise NotImplementedError) all the mlab2 functions from
matplotlib.mlab out of concern that some of them were not clean room
implementations.
* Methods get_offsets and set_offsets added to Collections base
class.
* Figure.figurePatch renamed Figure.patch, Axes.axesPatch renamed
Axes.patch, Axes.axesFrame renamed Axes.frame, Axes.get_frame, which
returns Axes.patch, is deprecated. Examples and users guide updated
* Changes in the ContourLabeler attributes (clabel function) so that they
all have a form like .labelAttribute. The three attributes that are most
likely to be used by end users, .cl, .cl_xy and .cl_cvalues have been
maintained for the moment (in addition to their renamed versions), but they
are depricated and will eventually be removed.
Changes for 0.98.1
==================
* Removed broken axes3d support and replaced it with a non implemented
error pointing to 0.91.x
Changes for 0.98.0
==================
matplotlib.image.imread now no longer always returns RGBA -- if
the image is luminance or RGB, it will return a MxN or MxNx3 array
if possible. Also uint8 is no longer always forced to float.
Rewrote the cm.ScalarMappable callback infrastructure to use
cbook.CallbackRegistry rather than custom callback handling. Amy
users of add_observer/notify of the cm.ScalarMappable should uae
the cm.ScalarMappable.callbacksSM CallbackRegistry instead.
New axes function and Axes method provide control over the plot
color cycle: axes.set_default_color_cycle(clist) and
Axes.set_color_cycle(clist).
matplotlib now requires python2.4, so matplotlib.cbook will no
loner provide set, enumerate, reversed or izip compatability functions
In numpy 1.0 bins are specified by the left edges only. The axes
method "hist" now uses future numpy 1.3 semantic for histograms.
Providing binedges, the last value gives the upper-right edge now,
which was implicitly set to +infinity in numpy 1.0. This also means
that the last bin doesn't contain upper outliers any more by default.
New axes method and pyplot function, hexbin, is an alternative
to scatter for large datasets. It makes something like a
pcolor of a 2-D histogram, but uses hexagonal bins.
New kwarg, "symmetric", in MaxNLocator
allows one require an axis to be centered on zero.
toolkits must now be imported from mpl_toolkits (not matplotlib.toolkits)
TRANSFORMS REFACTORING
The primary goal of this refactoring was to make it easier to
extend matplotlib to support new kinds of projections. This is
primarily an internal improvement, and the possible user-visible
changes it allows are yet to come.
See transforms.py for a description of the design of the new
transformation framework.
For efficiency, many of these functions return views into Numpy
arrays. This means that if you hold on to a reference to them,
their contents may change. If you want to store a snapshot of
their current values, use the Numpy array method copy().
The view intervals are now stored only in one place -- in the Axes
instance, not in the formatter instances as well. This means
formatters must get their limits from their Axis, which in turn
looks up its limits from the Axes. If a Locator is used
temporarily and not assigned to an Axis or Axes, (e.g. in
contour.py), a dummy axis must be created to store its bounds.
Call Locator.create_dummy_axis() to do so.
The functionality of Pbox has been merged with Bbox. Its methods
now all return copies rather than modifying in place.
The following lists many of the simple changes necessary to update
code from the old transformation framework to the new one. In
particular, methods that return a copy are named with a verb in
the past tense, whereas methods that alter an object in place are
named with a very in the present tense.
transforms.py
Bbox.get_bounds() Bbox.bounds
Bbox.width() Bbox.width
Bbox.height() Bbox.height
Bbox.intervalx().get_bounds() Bbox.intervalx
Bbox.intervalx().set_bounds()
[Bbox.intervalx is now a property.]
Bbox.intervaly().get_bounds() Bbox.intervaly
Bbox.intervaly().set_bounds()
[Bbox.intervaly is now a property.]
Bbox.xmin() Bbox.x0 or Bbox.xmin
Bbox.ymin() Bbox.y0 or Bbox.ymin
Bbox.xmax() Bbox.x1 or Bbox.xmax
Bbox.ymax() Bbox.y1 or Bbox.ymax
[The Bbox is bound by the points (x0, y0) to (x1, y1) and
there is no defined order to these points, that is, x0 is not
necessarily the left edge of the box. To get the left edge of
the Bbox, use the read-only property xmin.]
Bbox.overlaps(bboxes) Bbox.count_overlaps(bboxes)
bbox_all(bboxes) Bbox.union(bboxes)
[Bbox.union is a staticmethod.]
lbwh_to_bbox(l, b, w, h) Bbox.from_bounds(x0, y0, w, h)
inverse_transform_bbox(trans, bbox) bbox.inverse_transformed(trans)
Interval.contains_open(v) interval_contains_open(tuple, v)
Interval.contains(v) interval_contains_open(tuple, v)
identity_transform() IdentityTransform()
blend_xy_sep_transform(xtrans, ytrans) blended_transform_factory(xtrans, ytrans)
scale_transform(xs, ys) Affine2D().scale(xs[, ys])
get_bbox_transform(boxin, boxout) BboxTransform(boxin, boxout) or
BboxTransformFrom(boxin) or
BboxTransformTo(boxout)
Transform.seq_xy_tup(points) Transform.transform(points)
Transform.inverse_xy_tup(points) Transform.inverted().transform(points)
axes.py
Axes.get_position() Axes.get_position()
[Axes.get_position() used to return a list of points, not it
returns a transforms.Bbox instance.]
Axes.set_position() Axes.set_position()
[Axes.set_position() now accepts either four scalars or a
transforms Bbox instance.]
[also returns a Bbox]
Axes.toggle_log_lineary() Axes.set_yscale()
[Since the recfactoring allows for more than two scale types
('log' or 'linear'), it no longer makes sense to have a
toggle. Axes.toggle_log_lineary() has been removed.]
Axes.hlines(linestyle=) Axes.hlines(linestyles=)
Axes.vlines(linestyle=) Axes.vlines(linestyles=)
[The kwarg 'linestyle' has been replaced with 'linestyles',
which accepts either a single linestyle or a list of
linestyles to use.]
Subplot class is gone -- now there is only SubplotBase.
The Polar class has moved to projections/polar.py
artist.py
Artist.set_clip_path(path) Artist.set_clip_path(path, transform)
[set_clip_path now accepts a path.Path instance and a
transformation that will be applied to the path immediately
before clipping.]
collections.py
linestyle linestyles
[Linestyles are now treated like all other collection
attributes -- a single value or multiple values may be
provided.]
colors.py
ColorConvertor.to_rgba_list(c) ColorConvertor.to_rgba_array(c)
[ColorConvertor.to_rgba_array(c) returns an Nx4 Numpy array of
RGBA color quadruples.]
contour.py
Contour._segments Contour.get_paths()
[Contour.get_paths() now returns a list of path.Path instances.]
figure.py
Figure.dpi.get()/set() Figure.dpi (a property)
patches.py
get_verts() get_path()
[Patch.get_path() returns a path.Path instance.]
backend_bases.py
GraphicsContext.set_clip_rectangle(tuple) GraphicsContext.set_clip_rectangle(bbox)
GraphicsContext.get_clip_path() GraphicsContext.get_clip_path()
[GraphicsContext.get_clip_path() returns a tuple of the form
(path, affine_transform), where path is a path.Path instance
and affine_transform is a transforms.Affine2D instance.]
GraphicsContext.set_clip_path(clippath) GraphicsContext.set_clip_path(clippath)
[Now accepts only an instance of transforms.TransformedPath.]
RendererBase class:
**new methods** --->
draw_path(self, gc, path, transform, rgbFace)
draw_markers(self, gc, marker_path, marker_trans, path, trans, rgbFace)
draw_path_collection(self, master_transform, cliprect, clippath,
clippath_trans, paths, all_transforms, offsets,
offsetTrans, facecolors, edgecolors, linewidths,
linestyles, antialiaseds) [optional]
**changed methods** --->
draw_image(self, x, y, im, bbox) draw_image(self, x, y, im, bbox,
clippath, clippath_trans)
**removed methods** --->
draw_arc
draw_line_collection
draw_line
draw_lines
draw_point
draw_quad_mesh
draw_poly_collection
draw_polygon
draw_rectangle
draw_regpoly_collection
END OF TRANSFORMS REFACTORING
0.91.2 Released
For csv2rec, checkrows=0 is the new default indicating all rows
will be checked for type inference
A warning is issued when an image is drawn on log-scaled
axes, since it will not log-scale the image data.
Moved rec2gtk to matplotlib.toolkits.gtktools
Moved rec2excel to matplotlib.toolkits.exceltools
Removed, dead/experimental ExampleInfo, Namespace and Importer
code from matplotlib/__init__.py
0.91.1 Released
0.91.0 Released
Changed cbook.is_file_like to cbook.is_writable_file_like and
corrected behavior.
Added ax kwarg to pyplot.colorbar and Figure.colorbar so that
one can specify the axes object from which space for the colorbar
is to be taken, if one does not want to make the colorbar axes
manually.
Changed cbook.reversed so it yields a tuple rather than a
(index, tuple). This agrees with the python reversed builtin,
and cbook only defines reversed if python doesnt provide the
builtin.
Made skiprows=1 the default on csv2rec
The gd and paint backends have been deleted.
The errorbar method and function now accept additional kwargs
so that upper and lower limits can be indicated by capping the
bar with a caret instead of a straight line segment.
The dviread.py file now has a parser for files like psfonts.map
and pdftex.map, to map TeX font names to external files.
The file type1font.py contains a new class for Type 1 fonts.
Currently it simply reads pfa and pfb format files and stores the
data in a way that is suitable for embedding in pdf files. In the
future the class might actually parse the font to allow e.g.
subsetting.
FT2Font now supports FT_Attach_File. In practice this can be used
to read an afm file in addition to a pfa/pfb file, to get metrics
and kerning information for a Type 1 font.
The AFM class now supports querying CapHeight and stem widths. The
get_name_char method now has an isord kwarg like get_width_char.
Changed pcolor default to shading='flat'; but as noted now in the
docstring, it is preferable to simply use the edgecolor kwarg.
The mathtext font commands (\cal, \rm, \it, \tt) now behave as TeX
does: they are in effect until the next font change command or the
end of the grouping. Therefore uses of $\cal{R}$ should be
changed to ${\cal R}$. Alternatively, you may use the new
LaTeX-style font commands (\mathcal, \mathrm, \mathit, \mathtt)
which do affect the following group, eg. $\mathcal{R}$.
Text creation commands have a new default linespacing and
a new linespacing kwarg, which is a multiple of the maximum
vertical extent of a line of ordinary text. The default is
1.2; linespacing=2 would be like ordinary double spacing, for
example.
Changed default kwarg in colors.Normalize.__init__ to clip=False;
clipping silently defeats the purpose of the special over, under,
and bad values in the colormap, thereby leading to unexpected
behavior. The new default should reduce such surprises.
Made the emit property of set_xlim and set_ylim true by default;
removed the Axes custom callback handling into a 'callbacks'
attribute which is a cbook.CallbackRegistry instance. This now
supports the xlim_changed and ylim_changed Axes events.
0.90.1 released
The file dviread.py has a (very limited and fragile) dvi reader
for usetex support. The API might change in the future so don't
depend on it yet.
Removed deprecated support for a float value as a gray-scale;
now it must be a string, like '0.5'. Added alpha kwarg to
ColorConverter.to_rgba_list.
New method set_bounds(vmin, vmax) for formatters, locators sets
the viewInterval and dataInterval from floats.
Removed deprecated colorbar_classic.
Line2D.get_xdata and get_ydata valid_only=False kwarg is replaced
by orig=True. When True, it returns the original data, otherwise
the processed data (masked, converted)
Some modifications to the units interface.
units.ConversionInterface.tickers renamed to
units.ConversionInterface.axisinfo and it now returns a
units.AxisInfo object rather than a tuple. This will make it
easier to add axis info functionality (eg I added a default label
on this iteration) w/o having to change the tuple length and hence
the API of the client code everytime new functionality is added.
Also, units.ConversionInterface.convert_to_value is now simply
named units.ConversionInterface.convert.
Axes.errorbar uses Axes.vlines and Axes.hlines to draw its error
limits int he vertical and horizontal direction. As you'll see
in the changes below, these funcs now return a LineCollection
rather than a list of lines. The new return signature for
errorbar is ylins, caplines, errorcollections where
errorcollections is a xerrcollection, yerrcollection
Axes.vlines and Axes.hlines now create and returns a LineCollection, not a list
of lines. This is much faster. The kwarg signature has changed,
so consult the docs
MaxNLocator accepts a new Boolean kwarg ('integer') to force
ticks to integer locations.
Commands that pass an argument to the Text constructor or to
Text.set_text() now accept any object that can be converted
with '%s'. This affects xlabel(), title(), etc.
Barh now takes a **kwargs dict instead of most of the old
arguments. This helps ensure that bar and barh are kept in sync,
but as a side effect you can no longer pass e.g. color as a
positional argument.
ft2font.get_charmap() now returns a dict that maps character codes
to glyph indices (until now it was reversed)
Moved data files into lib/matplotlib so that setuptools' develop
mode works. Re-organized the mpl-data layout so that this source
structure is maintained in the installation. (I.e. the 'fonts' and
'images' sub-directories are maintained in site-packages.).
Suggest removing site-packages/matplotlib/mpl-data and
~/.matplotlib/ttffont.cache before installing
0.90.0 released
All artists now implement a "pick" method which users should not
call. Rather, set the "picker" property of any artist you want to
pick on (the epsilon distance in points for a hit test) and
register with the "pick_event" callback. See
examples/pick_event_demo.py for details
Bar, barh, and hist have "log" binary kwarg: log=True
sets the ordinate to a log scale.
Boxplot can handle a list of vectors instead of just
an array, so vectors can have different lengths.
Plot can handle 2-D x and/or y; it plots the columns.
Added linewidth kwarg to bar and barh.
Made the default Artist._transform None (rather than invoking
identity_transform for each artist only to have it overridden
later). Use artist.get_transform() rather than artist._transform,
even in derived classes, so that the default transform will be
created lazily as needed
New LogNorm subclass of Normalize added to colors.py.
All Normalize subclasses have new inverse() method, and
the __call__() method has a new clip kwarg.
Changed class names in colors.py to match convention:
normalize -> Normalize, no_norm -> NoNorm. Old names
are still available for now.
Removed obsolete pcolor_classic command and method.
Removed lineprops and markerprops from the Annotation code and
replaced them with an arrow configurable with kwarg arrowprops.
See examples/annotation_demo.py - JDH
0.87.7 released
Completely reworked the annotations API because I found the old
API cumbersome. The new design is much more legible and easy to
read. See matplotlib.text.Annotation and
examples/annotation_demo.py
markeredgecolor and markerfacecolor cannot be configured in
matplotlibrc any more. Instead, markers are generally colored
automatically based on the color of the line, unless marker colors
are explicitely set as kwargs - NN
Changed default comment character for load to '#' - JDH
math_parse_s_ft2font_svg from mathtext.py & mathtext2.py now returns
width, height, svg_elements. svg_elements is an instance of Bunch (
cmbook.py) and has the attributes svg_glyphs and svg_lines, which are both
lists.
Renderer.draw_arc now takes an additional parameter, rotation.
It specifies to draw the artist rotated in degrees anti-
clockwise. It was added for rotated ellipses.
Renamed Figure.set_figsize_inches to Figure.set_size_inches to
better match the get method, Figure.get_size_inches.
Removed the copy_bbox_transform from transforms.py; added
shallowcopy methods to all transforms. All transforms already
had deepcopy methods.
FigureManager.resize(width, height): resize the window
specified in pixels
barh: x and y args have been renamed to width and bottom
respectively, and their order has been swapped to maintain
a (position, value) order.
bar and barh: now accept kwarg 'edgecolor'.
bar and barh: The left, height, width and bottom args can
now all be scalars or sequences; see docstring.
barh: now defaults to edge aligned instead of center
aligned bars
bar, barh and hist: Added a keyword arg 'align' that
controls between edge or center bar alignment.
Collections: PolyCollection and LineCollection now accept
vertices or segments either in the original form [(x,y),
(x,y), ...] or as a 2D numerix array, with X as the first column
and Y as the second. Contour and quiver output the numerix
form. The transforms methods Bbox.update() and
Transformation.seq_xy_tups() now accept either form.
Collections: LineCollection is now a ScalarMappable like
PolyCollection, etc.
Specifying a grayscale color as a float is deprecated; use
a string instead, e.g., 0.75 -> '0.75'.
Collections: initializers now accept any mpl color arg, or
sequence of such args; previously only a sequence of rgba
tuples was accepted.
Colorbar: completely new version and api; see docstring. The
original version is still accessible as colorbar_classic, but
is deprecated.
Contourf: "extend" kwarg replaces "clip_ends"; see docstring.
Masked array support added to pcolormesh.
Modified aspect-ratio handling:
Removed aspect kwarg from imshow
Axes methods:
set_aspect(self, aspect, adjustable=None, anchor=None)
set_adjustable(self, adjustable)
set_anchor(self, anchor)
Pylab interface:
axis('image')
Backend developers: ft2font's load_char now takes a flags
argument, which you can OR together from the LOAD_XXX
constants.
API Changes in matplotlib-0.86
Matplotlib data is installed into the matplotlib module.
This is similar to package_data. This should get rid of
having to check for many possibilities in _get_data_path().
The MATPLOTLIBDATA env key is still checked first to allow
for flexibility.
1) Separated the color table data from cm.py out into
a new file, _cm.py, to make it easier to find the actual
code in cm.py and to add new colormaps. Everything
from _cm.py is imported by cm.py, so the split should be
transparent.
2) Enabled automatic generation of a colormap from
a list of colors in contour; see modified
examples/contour_demo.py.
3) Support for imshow of a masked array, with the
ability to specify colors (or no color at all) for
masked regions, and for regions that are above or
below the normally mapped region. See
examples/image_masked.py.
4) In support of the above, added two new classes,
ListedColormap, and no_norm, to colors.py, and modified
the Colormap class to include common functionality. Added
a clip kwarg to the normalize class.
API Changes in matplotlib-0.85
Made xtick and ytick separate props in rc
made pos=None the default for tick formatters rather than 0 to
indicate "not supplied"
Removed "feature" of minor ticks which prevents them from
overlapping major ticks. Often you want major and minor ticks at
the same place, and can offset the major ticks with the pad. This
could be made configurable
Changed the internal structure of contour.py to a more OO style.
Calls to contour or contourf in axes.py or pylab.py now return
a ContourSet object which contains references to the
LineCollections or PolyCollections created by the call,
as well as the configuration variables that were used.
The ContourSet object is a "mappable" if a colormap was used.
Added a clip_ends kwarg to contourf. From the docstring:
* clip_ends = True
If False, the limits for color scaling are set to the
minimum and maximum contour levels.
True (default) clips the scaling limits. Example:
if the contour boundaries are V = [-100, 2, 1, 0, 1, 2, 100],
then the scaling limits will be [-100, 100] if clip_ends
is False, and [-3, 3] if clip_ends is True.
Added kwargs linewidths, antialiased, and nchunk to contourf. These
are experimental; see the docstring.
Changed Figure.colorbar():
kw argument order changed;
if mappable arg is a non-filled ContourSet, colorbar() shows
lines instead hof polygons.
if mappable arg is a filled ContourSet with clip_ends=True,
the endpoints are not labelled, so as to give the
correct impression of open-endedness.
Changed LineCollection.get_linewidths to get_linewidth, for
consistency.
API Changes in matplotlib-0.84
Unified argument handling between hlines and vlines. Both now
take optionally a fmt argument (as in plot) and a keyword args
that can be passed onto Line2D.
Removed all references to "data clipping" in rc and lines.py since
these were not used and not optimized. I'm sure they'll be
resurrected later with a better implementation when needed.
'set' removed - no more deprecation warnings. Use 'setp' instead.
Backend developers: Added flipud method to image and removed it
from to_str. Removed origin kwarg from backend.draw_image.
origin is handled entirely by the frontend now.
API Changes in matplotlib-0.83
- Made HOME/.matplotlib the new config dir where the matplotlibrc
file, the ttf.cache, and the tex.cache live. The new default
filenames in .matplotlib have no leading dot and are not hidden.
Eg, the new names are matplotlibrc, tex.cache, and ttffont.cache.
This is how ipython does it so it must be right.
If old files are found, a warning is issued and they are moved to
the new location.
- backends/__init__.py no longer imports new_figure_manager,
draw_if_interactive and show from the default backend, but puts
these imports into a call to pylab_setup. Also, the Toolbar is no
longer imported from WX/WXAgg. New usage:
from backends import pylab_setup
new_figure_manager, draw_if_interactive, show = pylab_setup()
- Moved Figure.get_width_height() to FigureCanvasBase. It now
returns int instead of float.
API Changes in matplotlib-0.82
- toolbar import change in GTKAgg, GTKCairo and WXAgg
- Added subplot config tool to GTK* backends -- note you must now
import the NavigationToolbar2 from your backend of choice rather
than from backend_gtk because it needs to know about the backend
specific canvas -- see examples/embedding_in_gtk2.py. Ditto for
wx backend -- see examples/embedding_in_wxagg.py
- hist bin change
Sean Richards notes there was a problem in the way we created
the binning for histogram, which made the last bin
underrepresented. From his post:
I see that hist uses the linspace function to create the bins
and then uses searchsorted to put the values in their correct
bin. Thats all good but I am confused over the use of linspace
for the bin creation. I wouldn't have thought that it does
what is needed, to quote the docstring it creates a "Linear
spaced array from min to max". For it to work correctly
shouldn't the values in the bins array be the same bound for
each bin? (i.e. each value should be the lower bound of a
bin). To provide the correct bins for hist would it not be
something like
def bins(xmin, xmax, N):
if N==1: return xmax
dx = (xmax-xmin)/N # instead of N-1
return xmin + dx*arange(N)
This suggestion is implemented in 0.81. My test script with these
changes does not reveal any bias in the binning
from matplotlib.numerix.mlab import randn, rand, zeros, Float
from matplotlib.mlab import hist, mean
Nbins = 50
Ntests = 200
results = zeros((Ntests,Nbins), typecode=Float)
for i in range(Ntests):
print 'computing', i
x = rand(10000)
n, bins = hist(x, Nbins)
results[i] = n
print mean(results)
API CHANGES in matplotlib-0.81
- pylab and artist "set" functions renamed to setp to avoid clash
with python2.4 built-in set. Current version will issue a
deprecation warning which will be removed in future versions
- imshow interpolation arguments changes for advanced interpolation
schemes. See help imshow, particularly the interpolation,
filternorm and filterrad kwargs
- Support for masked arrays has been added to the plot command and
to the Line2D object. Only the valid points are plotted. A
"valid_only" kwarg was added to the get_xdata() and get_ydata()
methods of Line2D; by default it is False, so that the original
data arrays are returned. Setting it to True returns the plottable
points.
- contour changes:
Masked arrays: contour and contourf now accept masked arrays as
the variable to be contoured. Masking works correctly for
contour, but a bug remains to be fixed before it will work for
contourf. The "badmask" kwarg has been removed from both
functions.
Level argument changes:
Old version: a list of levels as one of the positional
arguments specified the lower bound of each filled region; the
upper bound of the last region was taken as a very large
number. Hence, it was not possible to specify that z values
between 0 and 1, for example, be filled, and that values
outside that range remain unfilled.
New version: a list of N levels is taken as specifying the
boundaries of N-1 z ranges. Now the user has more control over
what is colored and what is not. Repeated calls to contourf
(with different colormaps or color specifications, for example)
can be used to color different ranges of z. Values of z
outside an expected range are left uncolored.
Example:
Old: contourf(z, [0, 1, 2]) would yield 3 regions: 0-1, 1-2, and >2.
New: it would yield 2 regions: 0-1, 1-2. If the same 3 regions were
desired, the equivalent list of levels would be [0, 1, 2,
1e38].
API CHANGES in matplotlib-0.80
- xlim/ylim/axis always return the new limits regardless of
arguments. They now take kwargs which allow you to selectively
change the upper or lower limits while leaving unnamed limits
unchanged. See help(xlim) for example
API CHANGES in matplotlib-0.73
- Removed deprecated ColormapJet and friends
- Removed all error handling from the verbose object
- figure num of zero is now allowed
API CHANGES in matplotlib-0.72
- Line2D, Text, and Patch copy_properties renamed update_from and
moved into artist base class
- LineCollecitons.color renamed to LineCollections.set_color for
consistency with set/get introspection mechanism,
- pylab figure now defaults to num=None, which creates a new figure
with a guaranteed unique number
- contour method syntax changed - now it is matlab compatible
unchanged: contour(Z)
old: contour(Z, x=Y, y=Y)
new: contour(X, Y, Z)
see http://matplotlib.sf.net/matplotlib.pylab.html#-contour
- Increased the default resolution for save command.
- Renamed the base attribute of the ticker classes to _base to avoid conflict
with the base method. Sitt for subs
- subs=none now does autosubbing in the tick locator.
- New subplots that overlap old will delete the old axes. If you
do not want this behavior, use fig.add_subplot or the axes
command
API CHANGES in matplotlib-0.71
Significant numerix namespace changes, introduced to resolve
namespace clashes between python built-ins and mlab names.
Refactored numerix to maintain separate modules, rather than
folding all these names into a single namespace. See the following
mailing list threads for more information and background
http://sourceforge.net/mailarchive/forum.php?thread_id=6398890&forum_id=36187
http://sourceforge.net/mailarchive/forum.php?thread_id=6323208&forum_id=36187
OLD usage
from matplotlib.numerix import array, mean, fft
NEW usage
from matplotlib.numerix import array
from matplotlib.numerix.mlab import mean
from matplotlib.numerix.fft import fft
numerix dir structure mirrors numarray (though it is an incomplete
implementation)
numerix
numerix/mlab
numerix/linear_algebra
numerix/fft
numerix/random_array
but of course you can use 'numerix : Numeric' and still get the
symbols.
pylab still imports most of the symbols from Numerix, MLab, fft,
etc, but is more cautious. For names that clash with python names
(min, max, sum), pylab keeps the builtins and provides the numeric
versions with an a* prefix, eg (amin, amax, asum)
API CHANGES in matplotlib-0.70
MplEvent factored into a base class Event and derived classes
MouseEvent and KeyEvent
Removed definct set_measurement in wx toolbar
API CHANGES in matplotlib-0.65.1
removed add_axes and add_subplot from backend_bases. Use
figure.add_axes and add_subplot instead. The figure now manages the
current axes with gca and sca for get and set current axe. If you
have code you are porting which called, eg, figmanager.add_axes, you
can now simply do figmanager.canvas.figure.add_axes.
API CHANGES in matplotlib-0.65
mpl_connect and mpl_disconnect in the matlab interface renamed to
connect and disconnect
Did away with the text methods for angle since they were ambiguous.
fontangle could mean fontstyle (obligue, etc) or the rotation of the
text. Use style and rotation instead.
API CHANGES in matplotlib-0.63
Dates are now represented internally as float days since 0001-01-01,
UTC.
All date tickers and formatters are now in matplotlib.dates, rather
than matplotlib.tickers
converters have been abolished from all functions and classes.
num2date and date2num are now the converter functions for all date
plots
Most of the date tick locators have a different meaning in their
constructors. In the prior implementation, the first argument was a
base and multiples of the base were ticked. Eg
HourLocator(5) # old: tick every 5 minutes
In the new implementation, the explicit points you want to tick are
provided as a number or sequence
HourLocator(range(0,5,61)) # new: tick every 5 minutes
This gives much greater flexibility. I have tried to make the
default constructors (no args) behave similarly, where possible.
Note that YearLocator still works under the base/multiple scheme.
The difference between the YearLocator and the other locators is
that years are not recurrent.
Financial functions:
matplotlib.finance.quotes_historical_yahoo(ticker, date1, date2)
date1, date2 are now datetime instances. Return value is a list
of quotes where the quote time is a float - days since gregorian
start, as returned by date2num
See examples/finance_demo.py for example usage of new API
API CHANGES in matplotlib-0.61
canvas.connect is now deprecated for event handling. use
mpl_connect and mpl_disconnect instead. The callback signature is
func(event) rather than func(widget, evet)
API CHANGES in matplotlib-0.60
ColormapJet and Grayscale are deprecated. For backwards
compatibility, they can be obtained either by doing
from matplotlib.cm import ColormapJet
or
from matplotlib.matlab import *
They are replaced by cm.jet and cm.grey
API CHANGES in matplotlib-0.54.3
removed the set_default_font / get_default_font scheme from the
font_manager to unify customization of font defaults with the rest of
the rc scheme. See examples/font_properties_demo.py and help(rc) in
matplotlib.matlab.
API CHANGES in matplotlib-0.54
matlab interface
================
dpi
---
Several of the backends used a PIXELS_PER_INCH hack that I added to
try and make images render consistently across backends. This just
complicated matters. So you may find that some font sizes and line
widths appear different than before. Apologies for the
inconvenience. You should set the dpi to an accurate value for your
screen to get true sizes.
pcolor and scatter
------------------
There are two changes to the matlab interface API, both involving the
patch drawing commands. For efficiency, pcolor and scatter have been
rewritten to use polygon collections, which are a new set of objects
from matplotlib.collections designed to enable efficient handling of
large collections of objects. These new collections make it possible
to build large scatter plots or pcolor plots with no loops at the
python level, and are significantly faster than their predecessors.
The original pcolor and scatter functions are retained as
pcolor_classic and scatter_classic.
The return value from pcolor is a PolyCollection. Most of the
propertes that are available on rectangles or other patches are also
available on PolyCollections, eg you can say
c = scatter(blah, blah)
c.set_linewidth(1.0)
c.set_facecolor('r')
c.set_alpha(0.5)
or
c = scatter(blah, blah)
set(c, 'linewidth', 1.0, 'facecolor', 'r', 'alpha', 0.5)
Because the collection is a single object, you no longer need to loop
over the return value of scatter or pcolor to set properties for the
entire list.
If you want the different elements of a collection to vary on a
property, eg to have different line widths, see matplotlib.collections
for a discussion on how to set the properties as a sequence.
For scatter, the size argument is now in points^2 (the area of the
symbol in points) as in matlab and is not in data coords as before.
Using sizes in data coords caused several problems. So you will need
to adjust your size arguments accordingly or use scatter_classic.
mathtext spacing
----------------
For reasons not clear to me (and which I'll eventually fix) spacing no
longer works in font groups. However, I added three new spacing
commands which compensate for this '\ ' (regular space), '\/' (small
space) and '\hspace{frac}' where frac is a fraction of fontsize in
points. You will need to quote spaces in font strings, is
title(r'$\rm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
Object interface - Application programmers
==========================================
Autoscaling
------------
The x and y axis instances no longer have autoscale view. These are
handled by axes.autoscale_view
Axes creation
--------------
You should not instantiate your own Axes any more using the OO API.
Rather, create a Figure as before and in place of
f = Figure(figsize=(5,4), dpi=100)
a = Subplot(f, 111)
f.add_axis(a)
use
f = Figure(figsize=(5,4), dpi=100)
a = f.add_subplot(111)
That is, add_axis no longer exists and is replaced by
add_axes(rect, axisbg=defaultcolor, frameon=True)
add_subplot(num, axisbg=defaultcolor, frameon=True)
Artist methods
---------------
If you define your own Artists, you need to rename the _draw method
to draw
Bounding boxes
--------------
matplotlib.transforms.Bound2D is replaced by
matplotlib.transforms.Bbox. If you want to construct a bbox from
left, bottom, width, height (the signature for Bound2D), use
matplotlib.transforms.lbwh_to_bbox, as in
bbox = clickBBox = lbwh_to_bbox(left, bottom, width, height)
The Bbox has a different API than the Bound2D. Eg, if you want to
get the width and height of the bbox
OLD
width = fig.bbox.x.interval()
height = fig.bbox.y.interval()
New
width = fig.bbox.width()
height = fig.bbox.height()
Object constructors
-------------------
You no longer pass the bbox, dpi, or transforms to the various
Artist constructors. The old way or creating lines and rectangles
was cumbersome because you had to pass so many attributes to the
Line2D and Rectangle classes not related directly to the gemoetry
and properties of the object. Now default values are added to the
object when you call axes.add_line or axes.add_patch, so they are
hidden from the user.
If you want to define a custom transformation on these objects, call
o.set_transform(trans) where trans is a Transformation instance.
In prior versions of you wanted to add a custom line in data coords,
you would have to do
l = Line2D(dpi, bbox, x, y,
color = color,
transx = transx,
transy = transy,
)
now all you need is
l = Line2D(x, y, color=color)
and the axes will set the transformation for you (unless you have
set your own already, in which case it will eave it unchanged)
Transformations
---------------
The entire transformation architecture has been rewritten.
Previously the x and y transformations where stored in the xaxis and
yaxis insstances. The problem with this approach is it only allows
for separable transforms (where the x and y transformations don't
depend on one another). But for cases like polar, they do. Now
transformations operate on x,y together. There is a new base class
matplotlib.transforms.Transformation and two concrete
implemetations, matplotlib.transforms.SeparableTransformation and
matplotlib.transforms.Affine. The SeparableTransformation is
constructed with the bounding box of the input (this determines the
rectangular coordinate system of the input, ie the x and y view
limits), the bounding box of the display, and possibily nonlinear
transformations of x and y. The 2 most frequently used
transformations, data cordinates -> display and axes coordinates ->
display are available as ax.transData and ax.transAxes. See
alignment_demo.py which uses axes coords.
Also, the transformations should be much faster now, for two reasons
* they are written entirely in extension code
* because they operate on x and y together, they can do the entire
transformation in one loop. Earlier I did something along the
lines of
xt = sx*func(x) + tx
yt = sy*func(y) + ty
Although this was done in numerix, it still involves 6 length(x)
for-loops (the multiply, add, and function evaluation each for x
and y). Now all of that is done in a single pass.
If you are using transformations and bounding boxes to get the
cursor position in data coordinates, the method calls are a little
different now. See the updated examples/coords_demo.py which shows
you how to do this.
Likewise, if you are using the artist bounding boxes to pick items
on the canvas with the GUI, the bbox methods are somewhat
different. You will need to see the updated
examples/object_picker.py.
See unit/transforms_unit.py for many examples using the new
transformations.
API changes at 0.50
* refactored Figure class so it is no longer backend dependent.
FigureCanvasBackend takes over the backend specific duties of the
Figure. matplotlib.backend_bases.FigureBase moved to
matplotlib.figure.Figure.
* backends must implement FigureCanvasBackend (the thing that
controls the figure and handles the events if any) and
FigureManagerBackend (wraps the canvas and the window for matlab
interface). FigureCanvasBase implements a backend switching
mechanism
* Figure is now an Artist (like everything else in the figure) and
is totally backend independent
* GDFONTPATH renamed to TTFPATH
* backend faceColor argument changed to rgbFace
* colormap stuff moved to colors.py
* arg_to_rgb in backend_bases moved to class ColorConverter in
colors.py
* GD users must upgrade to gd-2.0.22 and gdmodule-0.52 since new gd
features (clipping, antialiased lines) are now used.
* Renderer must implement points_to_pixels
Migrating code:
Matlab interface:
The only API change for those using the matlab interface is in how
you call figure redraws for dynamically updating figures. In the
old API, you did
fig.draw()
In the new API, you do
manager = get_current_fig_manager()
manager.canvas.draw()
See the examples system_monitor.py, dynamic_demo.py, and anim.py
API
There is one important API change for application developers.
Figure instances used subclass GUI widgets that enabled them to be
placed directly into figures. Eg, FigureGTK subclassed
gtk.DrawingArea. Now the Figure class is independent of the
backend, and FigureCanvas takes over the functionality formerly
handled by Figure. In order to include figures into your apps,
you now need to do, for example
# gtk example
fig = Figure(figsize=(5,4), dpi=100)
canvas = FigureCanvasGTK(fig) # a gtk.DrawingArea
canvas.show()
vbox.pack_start(canvas)
If you use the NavigationToolbar, this in now intialized with a
FigureCanvas, not a Figure. The examples embedding_in_gtk.py,
embedding_in_gtk2.py, and mpl_with_glade.py all reflect the new
API so use these as a guide.
All prior calls to
figure.draw() and
figure.print_figure(args)
should now be
canvas.draw() and
canvas.print_figure(args)
Apologies for the inconvenience. This refactorization brings
significant more freedom in developing matplotlib and should bring
better plotting capabilities, so I hope the inconvenience is worth
it.
API changes at 0.42
* Refactoring AxisText to be backend independent. Text drawing and
get_window_extent functionality will be moved to the Renderer.
* backend_bases.AxisTextBase is now text.Text module
* All the erase and reset functionality removed frmo AxisText - not
needed with double buffered drawing. Ditto with state change.
Text instances have a get_prop_tup method that returns a hashable
tuple of text properties which you can use to see if text props
have changed, eg by caching a font or layout instance in a dict
with the prop tup as a key -- see RendererGTK.get_pango_layout in
backend_gtk for an example.
* Text._get_xy_display renamed Text.get_xy_display
* Artist set_renderer and wash_brushes methods removed
* Moved Legend class from matplotlib.axes into matplotlib.legend
* Moved Tick, XTick, YTick, Axis, XAxis, YAxis from matplotlib.axes
to matplotlib.axis
* moved process_text_args to matplotlib.text
* After getting Text handled in a backend independent fashion, the
import process is much cleaner since there are no longer cyclic
dependencies
* matplotlib.matlab._get_current_fig_manager renamed to
matplotlib.matlab.get_current_fig_manager to allow user access to
the GUI window attribute, eg figManager.window for GTK and
figManager.frame for wx
API changes at 0.40
- Artist
* __init__ takes a DPI instance and a Bound2D instance which is
the bounding box of the artist in display coords
* get_window_extent returns a Bound2D instance
* set_size is removed; replaced by bbox and dpi
* the clip_gc method is removed. Artists now clip themselves with
their box
* added _clipOn boolean attribute. If True, gc clip to bbox.
- AxisTextBase
* Initialized with a transx, transy which are Transform instances
* set_drawing_area removed
* get_left_right and get_top_bottom are replaced by get_window_extent
- Line2D Patches now take transx, transy
* Initialized with a transx, transy which are Transform instances
- Patches
* Initialized with a transx, transy which are Transform instances
- FigureBase attributes dpi is a DPI intance rather than scalar and
new attribute bbox is a Bound2D in display coords, and I got rid of
the left, width, height, etc... attributes. These are now
accessible as, for example, bbox.x.min is left, bbox.x.interval() is
width, bbox.y.max is top, etc...
- GcfBase attribute pagesize renamed to figsize
- Axes
* removed figbg attribute
* added fig instance to __init__
* resizing is handled by figure call to resize.
- Subplot
* added fig instance to __init__
- Renderer methods for patches now take gcEdge and gcFace instances.
gcFace=None takes the place of filled=False
- True and False symbols provided by cbook in a python2.3 compatible
way
- new module transforms supplies Bound1D, Bound2D and Transform
instances and more
- Changes to the matlab helpers API
* _matlab_helpers.GcfBase is renamed by Gcf. Backends no longer
need to derive from this class. Instead, they provide a factory
function new_figure_manager(num, figsize, dpi). The destroy
method of the GcfDerived from the backends is moved to the derived
FigureManager.
* FigureManagerBase moved to backend_bases
* Gcf.get_all_figwins renamed to Gcf.get_all_fig_managers
Jeremy:
Make sure to self._reset = False in AxisTextWX._set_font. This was
something missing in my backend code.
