Version 3.0.3
For a list of all of the issues and pull requests since the last revision, see the GitHub Stats.
Table of Contents
AnchoredDirectionArrows feature to mpl_toolkitsminorticks_on()/off() methods for colorbarax.get_gridspec to SubplotBaseadd_artist method:math: directive renamed to :mathmpl:Previously, spines of axes_grid1 and axisartist Axes would be drawn twice,
leading to a "bold" appearance. This is no longer the case.
For a list of all of the issues and pull requests since the last revision, see the GitHub Stats for Matplotlib 3.0.2.
Table of Contents
AnchoredDirectionArrows feature to mpl_toolkitsminorticks_on()/off() methods for colorbarax.get_gridspec to SubplotBaseadd_artist method:math: directive renamed to :mathmpl:The default backend no longer must be set as part of the build process. Instead, at run time, the builtin backends are tried in sequence until one of them imports.
Headless linux servers (identified by the DISPLAY env not being defined) will not select a GUI backend.
Two new colormaps named 'twilight' and 'twilight_shifted' have been added. These colormaps start and end on the same color, and have two symmetric halves with equal lightness, but diverging color. Since they wrap around, they are a good choice for cyclic data such as phase angles, compass directions, or time of day. Like viridis and cividis, twilight is perceptually uniform and colorblind friendly.
To scale an axis by a fixed order of magnitude, set the scilimits argument of
Axes.ticklabel_format to the same (non-zero) lower and upper limits. Say to scale
the y axis by a million (1e6), use
ax.ticklabel_format(style='sci', scilimits=(6, 6), axis='y')
The behavior of scilimits=(0, 0) is unchanged. With this setting, Matplotlib will adjust
the order of magnitude depending on the axis values, rather than keeping it fixed. Previously, setting
scilimits=(m, m) was equivalent to setting scilimits=(0, 0).
AnchoredDirectionArrows feature to mpl_toolkits¶A new mpl_toolkits class
AnchoredDirectionArrows
draws a pair of orthogonal arrows to indicate directions on a 2D plot. A
minimal working example takes in the transformation object for the coordinate
system (typically ax.transAxes), and arrow labels. There are several optional
parameters that can be used to alter layout. For example, the arrow pairs can
be rotated and the color can be changed. By default the labels and arrows have
the same color, but the class may also pass arguments for customizing arrow
and text layout, these are passed to matplotlib.text.TextPath and
matplotlib.patches.FancyArrowPatch. Location, length and width for both
arrow tail and head can be adjusted, the the direction arrows and labels can
have a frame. Padding and separation parameters can be adjusted.
minorticks_on()/off() methods for colorbar¶A new method colorbar.Colobar.minorticks_on() has been added
to correctly display minor ticks on a colorbar. This method
doesn't allow the minor ticks to extend into the regions beyond vmin and vmax
when the extend kwarg (used while creating the colorbar) is set to 'both',
'max' or 'min'.
A complementary method colorbar.Colobar.minorticks_off()
has also been added to remove the minor ticks on the colorbar.
The number of ticks placed on colorbars was previously appropriate for a large
colorbar, but looked bad if the colorbar was made smaller (i.e. via the shrink kwarg).
This has been changed so that the number of ticks is now responsive to how
large the colorbar is.
Previously, when saving a figure to a file using the GUI's
save dialog box, if the default filename (based on the
figure window title) already existed on disk, Matplotlib
would append a suffix (e.g. Figure_1-1.png), preventing
the dialog from prompting to overwrite the file. This
behaviour has been removed. Now if the file name exists on
disk, the user is prompted whether or not to overwrite it.
This eliminates guesswork, and allows intentional
overwriting, especially when the figure name has been
manually set using figure.Figure.canvas.set_window_title().
The title for a Figure.legend and Axes.legend can now have its
fontsize set via the title_fontsize kwarg. There is also a new
rcParams["legend.title_fontsize"]. Both default to None, which means
the legend title will have the same fontsize as the axes default fontsize
(not the legend fontsize, set by the fontsize kwarg or
rcParams["legend.fontsize"]).
The Matplotlib rcParams settings object now supports configuration
of the attribute axes.prop_cycle with cyclers using the markevery
Line2D object property. An example of this feature is provided at
py
The pgf backend now also supports multipage PDF files.
from matplotlib.backends.backend_pgf import PdfPages
import matplotlib.pyplot as plt
with PdfPages('multipage.pdf') as pdf:
# page 1
plt.plot([2, 1, 3])
pdf.savefig()
# page 2
plt.cla()
plt.plot([3, 1, 2])
pdf.savefig()
We acknowledge that the majority of people do not like egg-shaped pies.
Therefore, an axes to which a pie chart is plotted will be set to have
equal aspect ratio by default. This ensures that the pie appears circular
independent on the axes size or units. To revert to the previous behaviour
set the axes' aspect ratio to automatic by using ax.set_aspect("auto") or
plt.axis("auto").
ax.get_gridspec to SubplotBase¶New method SubplotBase.get_gridspec is added so that users can
easily get the gridspec that went into making an axes:
import matplotlib.pyplot as plt fig, axs = plt.subplots(3, 2) gs = axs[0, -1].get_gridspec() # remove the last column for ax in axs[:,-1].flatten(): ax.remove() # make a subplot in last column that spans rows. ax = fig.add_subplot(gs[:, -1]) plt.show()
Previously an axes title had to be moved manually if an xaxis overlapped (usually when the xaxis was put on the top of the axes). Now, the title will be automatically moved above the xaxis and its decorators (including the xlabel) if they are at the top.
If desired, the title can still be placed manually. There is a slight kludge;
the algorithm checks if the y-position of the title is 1.0 (the default),
and moves if it is. If the user places the title in the default location
(i.e. ax.title.set_position(0.5, 1.0)), the title will still be moved
above the xaxis. If the user wants to avoid this, they can
specify a number that is close (i.e. ax.title.set_position(0.5, 1.01))
and the title will not be moved via this algorithm.
There are new convenience methods for gridspec.GridSpec and
gridspec.GridSpecFromSubplotSpec. Instead of the former we can
now call Figure.add_gridspec and for the latter SubplotSpec.subgridspec.
import matplotlib.pyplot as plt
fig = plt.figure()
gs0 = fig.add_gridspec(3, 1)
ax1 = fig.add_subplot(gs0[0])
ax2 = fig.add_subplot(gs0[1])
gssub = gs0[2].subgridspec(1, 3)
for i in range(3):
fig.add_subplot(gssub[0, i])
add_artist method¶A method add_artist has been added to the
Figure class, which allows artists to be added directly
to a figure. E.g.
circ = plt.Circle((.7, .5), .05)
fig.add_artist(circ)
In case the added artist has no transform set previously, it will be set to
the figure transform (fig.transFigure).
This new method may be useful for adding artists to figures without axes or to
easily position static elements in figure coordinates.
:math: directive renamed to :mathmpl:¶The :math: rst role provided by matplotlib.sphinxext.mathmpl has been
renamed to :mathmpl: to avoid conflicting with the :math: role that
Sphinx 1.8 provides by default. (:mathmpl: uses Matplotlib to render math
expressions to images embedded in html, whereas Sphinx uses MathJax.)
When using Sphinx<1.8, both names (:math: and :mathmpl:) remain
available for backcompatibility.