A major refactoring of the axes module was made. The axes module has been split into smaller modules:
- the
_basemodule, which contains a new private _AxesBase class. This class contains all methods except plotting and labelling methods.- the
axesmodule, which contains the Axes class. This class inherits from _AxesBase, and contains all plotting and labelling methods.- the
_subplotmodule, with all the classes concerning subplotting.
There are a couple of things that do not exists in the axes module's
namespace anymore. If you use them, you need to import them from their
original location:
- math ->
import math- ma ->
from numpy import ma- cbook ->
from matplotlib import cbook- docstring ->
from matplotlib import docstring- is_sequence_of_strings ->
from matplotlib.cbook import is_sequence_of_strings- is_string_like ->
from matplotlib.cbook import is_string_like- iterable ->
from matplotlib.cbook import iterable- itertools ->
import itertools- martist ->
from matplotlib import artist as martist- matplotlib ->
import matplotlib- mcoll ->
from matplotlib import collections as mcoll- mcolors ->
from matplotlib import colors as mcolors- mcontour ->
from matplotlib import contour as mcontour- mpatches ->
from matplotlib import patches as mpatches- mpath ->
from matplotlib import path as mpath- mquiver ->
from matplotlib import quiver as mquiver- mstack ->
from matplotlib import stack as mstack- mstream ->
from matplotlib import stream as mstream- mtable ->
from matplotlib import table as mtable
As part of the refactoring to enable Qt5 support, the module
matplotlib.backends.qt4_compat was renamed to
matplotlib.qt_compat. qt4_compat is deprecated in 1.4 and
will be removed in 1.5.
The errorbar() method has been changed such that
the upper and lower limits (lolims, uplims, xlolims, xuplims) now
point in the correct direction.
The fmt kwarg for plot() defaults.
A bug has been fixed in the path effects rendering of fonts, which now means that the font size is consistent with non-path effect fonts. See https://github.com/matplotlib/matplotlib/issues/2889 for more detail.
The Sphinx extensions ipython_directive and
ipython_console_highlighting have been moved to the IPython
project itself. While they remain in Matplotlib for this release,
they have been deprecated. Update your extensions in conf.py to
point to IPython.sphinxext.ipython_directive instead of
matplotlib.sphinxext.ipython_directive.
In finance, almost all functions have been deprecated
and replaced with a pair of functions name *_ochl and *_ohlc.
The former is the 'open-close-high-low' order of quotes used
previously in this module, and the latter is the
'open-high-low-close' order that is standard in finance.
For consistency the face_alpha keyword to
matplotlib.patheffects.SimplePatchShadow has been deprecated in
favour of the alpha keyword. Similarly, the keyword offset_xy is now
named offset across all _Base` has
been renamed to matplotlib.patheffects.AbstractPathEffect.
matplotlib.patheffect.ProxyRenderer has been renamed to
matplotlib.patheffects.PathEffectRenderer and is now a full
RendererBase subclass.
The artist used to draw the outline of a colorbar has been changed
from a matplotlib.lines.Line2D to matplotlib.patches.Polygon,
thus colorbar.ColorbarBase.outline is now a
matplotlib.patches.Polygon object.
The legend handler interface has changed from a callable, to any object
which implements the legend_artists method (a deprecation phase will
see this interface be maintained for v1.4). See
Legend guide for further details. Further legend changes
include:
matplotlib.axes.Axes._get_legend_handles()now returns a generator of handles, rather than a list.- The
legend()function's "loc" positional argument has been deprecated. Use the "loc" keyword instead.
The rcParams savefig.transparent has been added to control
default transparency when saving figures.
Slightly refactored the Annotation family. The text location in
Annotation is now handled entirely handled by the underlying Text
object so set_position works as expected. The attributes xytext and
textcoords have been deprecated in favor of xyann and anncoords so
that Annotation and AnnotaionBbox can share a common sensibly named
api for getting/setting the location of the text or box.
xyann-> set the location of the annotationxy-> set where the arrow points toanncoords-> set the units of the annotation locationxycoords-> set the units of the point locationset_position()->Annotationonly set location of annotation
matplotlib.mlab.specgram, matplotlib.mlab.psd, matplotlib.mlab.csd,
matplotlib.mlab.cohere, matplotlib.mlab.cohere_pairs,
matplotlib.pyplot.specgram, matplotlib.pyplot.psd,
matplotlib.pyplot.csd, and matplotlib.pyplot.cohere now raise
ValueError where they previously raised AssertionError.
For matplotlib.mlab.psd, matplotlib.mlab.csd,
matplotlib.mlab.cohere, matplotlib.mlab.cohere_pairs,
matplotlib.pyplot.specgram, matplotlib.pyplot.psd,
matplotlib.pyplot.csd, and matplotlib.pyplot.cohere, in cases
where a shape (n, 1) array is returned, this is now converted to a (n, )
array. Previously, (n, m) arrays were averaged to an (n, ) array, but
(n, 1) arrays were returend unchanged. This change makes the dimensions
consistent in both cases.
Added the rcParam axes.fromatter.useoffset to control the default value
of useOffset in ticker.ScalarFormatter
Added Formatter sub-class StrMethodFormatter which
does the exact same thing as FormatStrFormatter, but for new-style
formatting strings.
Deprecated matplotlib.testing.image_util and the only function within,
matplotlib.testing.image_util.autocontrast. These will be removed
completely in v1.5.0.
The fmt argument of plot_date() has been
changed from bo to just o, so color cycling can happen by default.
Removed the class FigureManagerQTAgg and deprecated NavigationToolbar2QTAgg
which will be removed in 1.5.
Removed formerly public (non-prefixed) attributes rect and
drawRect from FigureCanvasQTAgg; they were always an
implementation detail of the (preserved) drawRectangle() function.
The function signatures of tight_bbox.adjust_bbox and
tight_bbox.process_figure_for_rasterizing have been changed. A new
fixed_dpi parameter allows for overriding the figure.dpi setting
instead of trying to deduce the intended behaviour from the file format.
Added support for horizontal/vertical axes padding to
mpl_toolkits.axes_grid1.ImageGrid --- argument axes_pad can now be
tuple-like if separate axis padding is required.
The original behavior is preserved.
Added support for skewed transforms to matplotlib.transforms.Affine2D,
which can be created using the skew and skew_deg methods.
Added clockwise parameter to control sectors direction in axes.pie
In matplotlib.lines.Line2D the markevery functionality has been extended.
Previously an integer start-index and stride-length could be specified using
either a two-element-list or a two-element-tuple. Now this can only be done
using a two-element-tuple. If a two-element-list is used then it will be
treated as numpy fancy indexing and only the two markers corresponding to the
given indexes will be shown.
removed prop kwarg from mpl_toolkits.axes_grid1.anchored_artists.AnchoredSizeBar
call. It was passed through to the base-class __init__ and is only used for
setting padding. Now fontproperties (which is what is really used to set
the font properties of AnchoredSizeBar) is passed through in place of prop.
If fontpropreties is not passed in, but prop is, then prop is used inplace
of fontpropreties. If both are passed in, prop is silently ignored.
The use of the index 0 in plt.subplot and related commands is
deprecated. Due to a lack of validation calling plt.subplots(2, 2,
0) does not raise an exception, but puts an axes in the _last_
position. This is due to the indexing in subplot being 1-based (to
mirror MATLAB) so before indexing into the GridSpec object used to
determine where the axes should go, 1 is subtracted off. Passing in
0 results in passing -1 to GridSpec which results in getting the
last position back. Even though this behavior is clearly wrong and
not intended, we are going through a deprecation cycle in an
abundance of caution that any users are exploiting this 'feature'.
The use of 0 as an index will raise a warning in 1.4 and an
exception in 1.5.
Clipping is now off by default on offset boxes.
Matplotlib now uses a less-aggressive call to gc.collect(1) when
closing figures to avoid major delays with large numbers of user objects
in memory.
The default clip value of all pie artists now defaults to False.
mlab.levypdf. The code raised a numpy error (and has for
a long time) and was not the standard form of the Levy distribution.
scipy.stats.levy should be used instead