API Changes in 2.1.0¶
Default behavior of log scales changed to mask <= 0 values¶
Calling matplotlib.axes.Axes.set_xscale
or matplotlib.axes.Axes.set_yscale
now uses 'mask' as the default method to handle invalid values (as opposed to
'clip'). This means that any values <= 0 on a log scale will not be shown.
Previously they were clipped to a very small number and shown.
matplotlib.cbook.CallbackRegistry.process()
suppresses exceptions by default¶
Matplotlib uses instances of CallbackRegistry
as a bridge between user input event from the GUI and user callbacks.
Previously, any exceptions raised in a user call back would bubble out
of of the process
method, which is typically in the GUI event
loop. Most GUI frameworks simple print the traceback to the screen
and continue as there is not always a clear method of getting the
exception back to the user. However PyQt5 now exits the process when
it receives an un-handled python exception in the event loop. Thus,
process()
now suppresses and
prints tracebacks to stderr by default.
What process()
does with exceptions
is now user configurable via the exception_handler
attribute and kwarg. To
restore the previous behavior pass None
cb = CallbackRegistry(exception_handler=None)
A function which take and Exception
as its only argument may also be passed
def maybe_reraise(exc):
if isinstance(exc, RuntimeError):
pass
else:
raise exc
cb = CallbackRegistry(exception_handler=maybe_reraise)
Improved toggling of the axes grids¶
The g
key binding now switches the states of the x
and y
grids
independently (by cycling through all four on/off combinations).
The new G
key binding switches the states of the minor grids.
Both bindings are disabled if only a subset of the grid lines (in either direction) is visible, to avoid making irreversible changes to the figure.
Ticklabels are turned off instead of being invisible¶
Internally, the Tick
's ~matplotlib.axis.Tick.label1On
attribute
is now used to hide tick labels instead of setting the visibility on the tick
label objects.
This improves overall performance and fixes some issues.
As a consequence, in case those labels ought to be shown,
tick_params()
needs to be used, e.g.
ax.tick_params(labelbottom=True)
Removal of warning on empty legends¶
pyplot.legend
used to issue a warning when no labeled artist could be
found. This warning has been removed.
More accurate legend autopositioning¶
Automatic positioning of legends now prefers using the area surrounded
by a Line2D
rather than placing the legend over the line itself.
Cleanup of stock sample data¶
The sample data of stocks has been cleaned up to remove redundancies and
increase portability. The AAPL.dat.gz
, INTC.dat.gz
and aapl.csv
files have been removed entirely and will also no longer be available from
matplotlib.cbook.get_sample_data
. If a CSV file is required, we suggest using
the msft.csv
that continues to be shipped in the sample data. If a NumPy
binary file is acceptable, we suggest using one of the following two new files.
The aapl.npy.gz
and goog.npy
files have been replaced by aapl.npz
and goog.npz
, wherein the first column's type has changed from
datetime.date
to numpy.datetime64
for better portability across Python
versions. Note that Matplotlib does not fully support numpy.datetime64
as
yet.
Updated qhull to 2015.2¶
The version of qhull shipped with Matplotlib, which is used for Delaunay triangulation, has been updated from version 2012.1 to 2015.2.
Improved Delaunay triangulations with large offsets¶
Delaunay triangulations now deal with large x,y offsets in a better
way. This can cause minor changes to any triangulations calculated
using Matplotlib, i.e. any use of matplotlib.tri.Triangulation
that
requests that a Delaunay triangulation is calculated, which includes
matplotlib.pyplot.tricontour
, matplotlib.pyplot.tricontourf
,
matplotlib.pyplot.tripcolor
, matplotlib.pyplot.triplot
,
matplotlib.mlab.griddata
and
mpl_toolkits.mplot3d.axes3d.Axes3D.plot_trisurf
.
Use backports.functools_lru_cache
instead of functools32
¶
It's better maintained and more widely used (by pylint, jaraco, etc).
cbook.is_numlike
only performs an instance check¶
matplotlib.cbook.is_numlike
now only checks that its argument
is an instance of (numbers.Number, np.Number)
. In particular,
this means that arrays are now not num-like.
Elliptical arcs now drawn between correct angles¶
The matplotlib.patches.Arc
patch is now correctly drawn between the given
angles.
Previously a circular arc was drawn and then stretched into an ellipse, so the resulting arc did not lie between theta1 and theta2.
-d$backend
no longer sets the backend¶
It is no longer possible to set the backend by passing -d$backend
at the command line. Use the MPLBACKEND
environment variable
instead.
Path.intersects_bbox always treats the bounding box as filled¶
Previously, when Path.intersects_bbox
was called with filled
set to
False
, it would treat both the path and the bounding box as unfilled. This
behavior was not well documented and it is usually not the desired behavior,
since bounding boxes are used to represent more complex shapes located inside
the bounding box. This behavior has now been changed: when filled
is
False
, the path will be treated as unfilled, but the bounding box is still
treated as filled. The old behavior was arguably an implementation bug.
When Path.intersects_bbox
is called with filled
set to True
(the default value), there is no change in behavior. For those rare cases where
Path.intersects_bbox
was called with filled
set to False
and where
the old behavior is actually desired, the suggested workaround is to call
Path.intersects_path
with a rectangle as the path:
from matplotlib.path import Path
from matplotlib.transforms import Bbox, BboxTransformTo
rect = Path.unit_rectangle().transformed(BboxTransformTo(bbox))
result = path.intersects_path(rect, filled=False)
WX no longer calls generates IdleEvent
events or calls idle_event
¶
Removed unused private method _onIdle
from FigureCanvasWx
.
The IdleEvent
class and FigureCanvasBase.idle_event
method
will be removed in 2.2
Correct scaling of magnitude_spectrum()
¶
The functions matplotlib.mlab.magnitude_spectrum()
and matplotlib.pyplot.magnitude_spectrum()
implicitly assumed the sum
of windowing function values to be one. In Matplotlib and Numpy the
standard windowing functions are scaled to have maximum value of one,
which usually results in a sum of the order of n/2 for a n-point
signal. Thus the amplitude scaling magnitude_spectrum()
was
off by that amount when using standard windowing functions (Bug 8417 ). Now the
behavior is consistent with matplotlib.pyplot.psd()
and
scipy.signal.welch()
. The following example demonstrates the
new and old scaling:
import matplotlib.pyplot as plt
import numpy as np
tau, n = 10, 1024 # 10 second signal with 1024 points
T = tau/n # sampling interval
t = np.arange(n)*T
a = 4 # amplitude
x = a*np.sin(40*np.pi*t) # 20 Hz sine with amplitude a
# New correct behavior: Amplitude at 20 Hz is a/2
plt.magnitude_spectrum(x, Fs=1/T, sides='onesided', scale='linear')
# Original behavior: Amplitude at 20 Hz is (a/2)*(n/2) for a Hanning window
w = np.hanning(n) # default window is a Hanning window
plt.magnitude_spectrum(x*np.sum(w), Fs=1/T, sides='onesided', scale='linear')
Change to signatures of bar()
& barh()
¶
For 2.0 the default value of *align* changed to
'center'
. However this caused the signature of
bar()
and
barh()
to be misleading as the first parameters were
still left and bottom respectively:
bar(left, height, *, align='center', **kwargs)
barh(bottom, width, *, align='center', **kwargs)
despite behaving as the center in both cases. The methods now take
*args, **kwargs
as input and are documented to have the primary
signatures of:
bar(x, height, *, align='center', **kwargs)
barh(y, width, *, align='center', **kwargs)
Passing left and bottom as keyword arguments to
bar()
and
barh()
respectively will warn.
Support will be removed in Matplotlib 3.0.
Font cache as json¶
The font cache is now saved as json, rather than a pickle.
Invalid (Non-finite) Axis Limit Error¶
When using set_xlim()
and
set_ylim()
, passing non-finite values now
results in a ValueError
. The previous behavior resulted in the
limits being erroneously reset to (-0.001, 0.001)
.
scatter
and Collection
offsets are no longer implicitly flattened¶
Collection
(and thus both 2D
scatter
and 3D
scatter
) no
longer implicitly flattens its offsets. As a consequence, scatter
's x
and y
arguments can no longer be 2+-dimensional arrays.
Deprecations¶
GraphicsContextBase
's linestyle
property.¶
The GraphicsContextBase.get_linestyle
and
GraphicsContextBase.set_linestyle
methods, which had no effect,
have been deprecated. All of the backends Matplotlib ships use
GraphicsContextBase.get_dashes
and
GraphicsContextBase.set_dashes
which are more general.
Third-party backends should also migrate to the *_dashes
methods.
Testing¶
matplotlib.testing.noseclasses
is deprecated and will be removed in 2.3
EngFormatter
num arg as string¶
Passing a string as num argument when calling an instance of
matplotlib.ticker.EngFormatter
is deprecated and will be removed in 2.3.
mpl_toolkits.axes_grid
module¶
All functionally from mpl_toolkits.axes_grid
can be found in either
mpl_toolkits.axes_grid1
or mpl_toolkits.axisartist
. Axes classes
from mpl_toolkits.axes_grid
based on Axis
from
mpl_toolkits.axisartist
can be found in mpl_toolkits.axisartist
.
Axes
collision in Figure.add_axes
¶
Adding an axes instance to a figure by using the same arguments as for
a previous axes instance currently reuses the earlier instance. This
behavior has been deprecated in Matplotlib 2.1. In a future version, a
new instance will always be created and returned. Meanwhile, in such
a situation, a deprecation warning is raised by
AxesStack
.
This warning can be suppressed, and the future behavior ensured, by passing
a unique label to each axes instance. See the docstring of
add_axes()
for more information.
Additional details on the rationale behind this deprecation can be found in #7377 and #9024.
Former validators for contour.negative_linestyle
¶
The former public validation functions validate_negative_linestyle
and validate_negative_linestyle_legacy
will be deprecated in 2.1 and
may be removed in 2.3. There are no public functions to replace them.
cbook
¶
Many unused or near-unused matplotlib.cbook
functions and
classes have been deprecated: converter
, tostr
,
todatetime
, todate
, tofloat
, toint
, unique
,
is_string_like
, is_sequence_of_strings
, is_scalar
,
Sorter
, Xlator
, soundex
, Null
, dict_delall
,
RingBuffer
, get_split_ind
, wrap
,
get_recursive_filelist
, pieces
, exception_to_str
,
allequal
, alltrue
, onetrue
, allpairs
, finddir
,
reverse_dict
, restrict_dict
, issubclass_safe
,
recursive_remove
, unmasked_index_ranges
.
Code Removal¶
qt4_compat.py¶
Moved to qt_compat.py
. Renamed because it now handles Qt5 as well.
Previously Deprecated methods¶
The GraphicsContextBase.set_graylevel
, FigureCanvasBase.onHilite
and
mpl_toolkits.axes_grid1.mpl_axes.Axes.toggle_axisline
methods have been
removed.
The ArtistInspector.findobj
method, which was never working due to the lack
of a get_children
method, has been removed.
The deprecated point_in_path
, get_path_extents
,
point_in_path_collection
, path_intersects_path
,
convert_path_to_polygons
, cleanup_path
and clip_path_to_rect
functions in the matplotlib.path
module have been removed. Their
functionality remains exposed as methods on the Path
class.
The deprecated Artist.get_axes
and Artist.set_axes
methods
have been removed
The matplotlib.backends.backend_ps.seq_allequal
function has been removed.
Use np.array_equal
instead.
The deprecated matplotlib.rcsetup.validate_maskedarray
,
matplotlib.rcsetup.deprecate_savefig_extension
and
matplotlib.rcsetup.validate_tkpythoninspect
functions, and associated
savefig.extension
and tk.pythoninspect
rcparams entries have been
removed.
The keyword argument resolution of
matplotlib.projections.polar.PolarAxes
has been removed. It
has deprecation with no effect from version 0.98.x.
Axes.set_aspect("normal")
¶
Support for setting an Axes
's aspect to "normal"
has been
removed, in favor of the synonym "auto"
.
shading
kwarg to pcolor
¶
The shading
kwarg to pcolor
has been
removed. Set edgecolors
appropriately instead.
Functions removed from the lines
module¶
The matplotlib.lines
module no longer imports the
pts_to_prestep
, pts_to_midstep
and pts_to_poststep
functions from matplotlib.cbook
.
PDF backend functions¶
The methods embedTeXFont
and tex_font_mapping
of
matplotlib.backends.backend_pdf.PdfFile
have been removed. It is
unlikely that external users would have called these methods, which
are related to the font system internal to the PDF backend.
matplotlib.delaunay¶
Remove the delaunay triangulation code which is now handled by Qhull
via matplotlib.tri
.