- The default behavior of
`matplotlib.axes.Axes.set_xlim()`

,`matplotlib.axes.Axes.set_ylim()`

, and`matplotlib.axes.Axes.axis()`

, and their corresponding pyplot functions, has been changed: when view limits are set explicitly with one of these methods, autoscaling is turned off for the matching axis. A new*auto*kwarg is available to control this behavior. The limit kwargs have been renamed to*left*and*right*instead of*xmin*and*xmax*, and*bottom*and*top*instead of*ymin*and*ymax*. The old names may still be used, however. - There are five new Axes methods with corresponding pyplot
functions to facilitate autoscaling, tick location, and tick
label formatting, and the general appearance of ticks and
tick labels:
`matplotlib.axes.Axes.autoscale()`

turns autoscaling on or off, and applies it.`matplotlib.axes.Axes.margins()`

sets margins used to autoscale the`matplotlib.axes.Axes.viewLim`

based on the`matplotlib.axes.Axes.dataLim`

.`matplotlib.axes.Axes.locator_params()`

allows one to adjust axes locator parameters such as*nbins*.`matplotlib.axes.Axes.ticklabel_format()`

is a convenience method for controlling the`matplotlib.ticker.ScalarFormatter`

that is used by default with linear axes.`matplotlib.axes.Axes.tick_params()`

controls direction, size, visibility, and color of ticks and their labels.

- The
`matplotlib.axes.Axes.bar()`

method accepts a*error_kw*kwarg; it is a dictionary of kwargs to be passed to the errorbar function. - The
`matplotlib.axes.Axes.hist()`

*color*kwarg now accepts a sequence of color specs to match a sequence of datasets. - The
`EllipseCollection`

has been changed in two ways:- There is a new
*units*option, 'xy', that scales the ellipse with the data units. This matches the :class:'~matplotlib.patches.Ellipse` scaling. - The
*height*and*width*kwargs have been changed to specify the height and width, again for consistency with`Ellipse`

, and to better match their names; previously they specified the half-height and half-width.

- There is a new
- There is a new rc parameter
`axes.color_cycle`

, and the color cycle is now independent of the rc parameter`lines.color`

.`matplotlib.Axes.set_default_color_cycle()`

is deprecated. - You can now print several figures to one pdf file and modify the
document information dictionary of a pdf file. See the docstrings
of the class
`matplotlib.backends.backend_pdf.PdfPages`

for more information. - Removed configobj and enthought.traits packages, which are only required by the experimental traited config and are somewhat out of date. If needed, install them independently.

The new rc parameter

`savefig.extension`

sets the filename extension that is used by`matplotlib.figure.Figure.savefig()`

if its*fname*argument lacks an extension.In an effort to simplify the backend API, all clipping rectangles and paths are now passed in using GraphicsContext objects, even on collections and images. Therefore:

draw_path_collection(self, master_transform, cliprect, clippath, clippath_trans, paths, all_transforms, offsets, offsetTrans, facecolors, edgecolors, linewidths, linestyles, antialiaseds, urls) # is now draw_path_collection(self, gc, master_transform, paths, all_transforms, offsets, offsetTrans, facecolors, edgecolors, linewidths, linestyles, antialiaseds, urls) draw_quad_mesh(self, master_transform, cliprect, clippath, clippath_trans, meshWidth, meshHeight, coordinates, offsets, offsetTrans, facecolors, antialiased, showedges) # is now draw_quad_mesh(self, gc, master_transform, meshWidth, meshHeight, coordinates, offsets, offsetTrans, facecolors, antialiased, showedges) draw_image(self, x, y, im, bbox, clippath=None, clippath_trans=None) # is now draw_image(self, gc, x, y, im)

There are four new Axes methods with corresponding pyplot functions that deal with unstructured triangular grids:

`matplotlib.axes.Axes.tricontour()`

draws contour lines on a triangular grid.`matplotlib.axes.Axes.tricontourf()`

draws filled contours on a triangular grid.`matplotlib.axes.Axes.tripcolor()`

draws a pseudocolor plot on a triangular grid.`matplotlib.axes.Axes.triplot()`

draws a triangular grid as lines and/or markers.