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import sys
import matplotlib
from matplotlib import _pylab_helpers, interactive
from matplotlib.cbook import dedent, silent_list, is_string_like, is_numlike
from matplotlib.figure import Figure, figaspect
from matplotlib.backend_bases import FigureCanvasBase
from matplotlib.image import imread as _imread
from matplotlib.image import imsave as _imsave
from matplotlib import rcParams, rcParamsDefault, get_backend
from matplotlib.rcsetup import interactive_bk as _interactive_bk
from matplotlib.artist import getp, get, Artist
from matplotlib.artist import setp as _setp
from matplotlib.axes import Axes
from matplotlib.projections import PolarAxes
from matplotlib import mlab # for csv2rec, detrend_none, window_hanning
from matplotlib.scale import get_scale_docs, get_scale_names
from matplotlib import cm
from matplotlib.cm import get_cmap, register_cmap
import numpy as np
# We may not need the following imports here:
from matplotlib.colors import Normalize, normalize # latter for backwards compat.
from matplotlib.lines import Line2D
from matplotlib.text import Text, Annotation
from matplotlib.patches import Polygon, Rectangle, Circle, Arrow
from matplotlib.widgets import SubplotTool, Button, Slider, Widget
from ticker import TickHelper, Formatter, FixedFormatter, NullFormatter,\
FuncFormatter, FormatStrFormatter, ScalarFormatter,\
LogFormatter, LogFormatterExponent, LogFormatterMathtext,\
Locator, IndexLocator, FixedLocator, NullLocator,\
LinearLocator, LogLocator, AutoLocator, MultipleLocator,\
MaxNLocator
## Backend detection ##
def _backend_selection():
""" If rcParams['backend_fallback'] is true, check to see if the
current backend is compatible with the current running event
loop, and if not switches to a compatible one.
"""
backend = rcParams['backend']
if not rcParams['backend_fallback'] or \
backend not in _interactive_bk:
return
is_agg_backend = rcParams['backend'].endswith('Agg')
if 'wx' in sys.modules and not backend in ('WX', 'WXAgg'):
import wx
if wx.App.IsMainLoopRunning():
rcParams['backend'] = 'wx' + 'Agg' * is_agg_backend
elif 'qt' in sys.modules and not backend == 'QtAgg':
import qt
if not qt.qApp.startingUp():
# The mainloop is running.
rcParams['backend'] = 'qtAgg'
elif 'PyQt4.QtCore' in sys.modules and not backend == 'Qt4Agg':
import PyQt4.QtGui
if not PyQt4.QtGui.qApp.startingUp():
# The mainloop is running.
rcParams['backend'] = 'qt4Agg'
elif 'gtk' in sys.modules and not backend in ('GTK', 'GTKAgg',
'GTKCairo'):
import gobject
if gobject.MainLoop().is_running():
rcParams['backend'] = 'gtk' + 'Agg' * is_agg_backend
elif 'Tkinter' in sys.modules and not backend == 'TkAgg':
#import Tkinter
pass #what if anything do we need to do for tkinter?
_backend_selection()
## Global ##
from matplotlib.backends import pylab_setup
new_figure_manager, draw_if_interactive, show = pylab_setup()
def findobj(o=None, match=None):
if o is None:
o = gcf()
return o.findobj(match)
findobj.__doc__ = Artist.findobj.__doc__
def switch_backend(newbackend):
"""
Switch the default backend to newbackend. This feature is
**experimental**, and is only expected to work switching to an
image backend. Eg, if you have a bunch of PostScript scripts that
you want to run from an interactive ipython session, you may want
to switch to the PS backend before running them to avoid having a
bunch of GUI windows popup. If you try to interactively switch
from one GUI backend to another, you will explode.
Calling this command will close all open windows.
"""
close('all')
global new_figure_manager, draw_if_interactive, show
matplotlib.use(newbackend, warn=False)
reload(matplotlib.backends)
from matplotlib.backends import pylab_setup
new_figure_manager, draw_if_interactive, show = pylab_setup()
def isinteractive():
"""
Return the interactive status
"""
return matplotlib.is_interactive()
def ioff():
'Turn interactive mode off.'
matplotlib.interactive(False)
def ion():
'Turn interactive mode on.'
matplotlib.interactive(True)
def rc(*args, **kwargs):
matplotlib.rc(*args, **kwargs)
if matplotlib.rc.__doc__ is not None:
rc.__doc__ = dedent(matplotlib.rc.__doc__)
def rcdefaults():
matplotlib.rcdefaults()
draw_if_interactive()
if matplotlib.rcdefaults.__doc__ is not None:
rcdefaults.__doc__ = dedent(matplotlib.rcdefaults.__doc__)
# The current "image" (ScalarMappable) is tracked here on a
# per-pylab-session basis:
def gci():
"""
Get the current :class:`~matplotlib.cm.ScalarMappable` instance
(image or patch collection), or *None* if no images or patch
collections have been defined. The commands
:func:`~matplotlib.pyplot.imshow` and
:func:`~matplotlib.pyplot.figimage` create
:class:`~matplotlib.image.Image` instances, and the commands
:func:`~matplotlib.pyplot.pcolor` and
:func:`~matplotlib.pyplot.scatter` create
:class:`~matplotlib.collections.Collection` instances.
"""
return gci._current
gci._current = None
def sci(im):
"""
Set the current image (target of colormap commands like
:func:`~matplotlib.pyplot.jet`, :func:`~matplotlib.pyplot.hot` or
:func:`~matplotlib.pyplot.clim`).
"""
gci._current = im
## Any Artist ##
# (getp is simply imported)
def setp(*args, **kwargs):
ret = _setp(*args, **kwargs)
draw_if_interactive()
return ret
if _setp.__doc__ is not None:
setp.__doc__ = _setp.__doc__
## Figures ##
def figure(num=None, # autoincrement if None, else integer from 1-N
figsize = None, # defaults to rc figure.figsize
dpi = None, # defaults to rc figure.dpi
facecolor = None, # defaults to rc figure.facecolor
edgecolor = None, # defaults to rc figure.edgecolor
frameon = True,
FigureClass = Figure,
**kwargs
):
"""
call signature::
figure(num=None, figsize=(8, 6), dpi=80, facecolor='w', edgecolor='k')
Create a new figure and return a :class:`matplotlib.figure.Figure`
instance. If *num* = *None*, the figure number will be incremented and
a new figure will be created. The returned figure objects have a
*number* attribute holding this number.
If *num* is an integer, and ``figure(num)`` already exists, make it
active and return a reference to it. If ``figure(num)`` does not exist
it will be created. Numbering starts at 1, matlab style::
figure(1)
If you are creating many figures, make sure you explicitly call "close"
on the figures you are not using, because this will enable pylab
to properly clean up the memory.
Optional keyword arguments:
========= =======================================================
Keyword Description
========= =======================================================
figsize width x height in inches; defaults to rc figure.figsize
dpi resolution; defaults to rc figure.dpi
facecolor the background color; defaults to rc figure.facecolor
edgecolor the border color; defaults to rc figure.edgecolor
========= =======================================================
rcParams defines the default values, which can be modified in the
matplotlibrc file
*FigureClass* is a :class:`~matplotlib.figure.Figure` or derived
class that will be passed on to :meth:`new_figure_manager` in the
backends which allows you to hook custom Figure classes into the
pylab interface. Additional kwargs will be passed on to your
figure init function.
"""
if figsize is None : figsize = rcParams['figure.figsize']
if dpi is None : dpi = rcParams['figure.dpi']
if facecolor is None : facecolor = rcParams['figure.facecolor']
if edgecolor is None : edgecolor = rcParams['figure.edgecolor']
if num is None:
allnums = [f.num for f in _pylab_helpers.Gcf.get_all_fig_managers()]
if allnums:
num = max(allnums) + 1
else:
num = 1
else:
num = int(num) # crude validation of num argument
figManager = _pylab_helpers.Gcf.get_fig_manager(num)
if figManager is None:
if get_backend().lower() == 'ps': dpi = 72
figManager = new_figure_manager(num, figsize=figsize,
dpi=dpi,
facecolor=facecolor,
edgecolor=edgecolor,
frameon=frameon,
FigureClass=FigureClass,
**kwargs)
# make this figure current on button press event
def make_active(event):
_pylab_helpers.Gcf.set_active(figManager)
cid = figManager.canvas.mpl_connect('button_press_event', make_active)
figManager._cidgcf = cid
_pylab_helpers.Gcf.set_active(figManager)
figManager.canvas.figure.number = num
draw_if_interactive()
return figManager.canvas.figure
def gcf():
"Return a reference to the current figure."
figManager = _pylab_helpers.Gcf.get_active()
if figManager is not None:
return figManager.canvas.figure
else:
return figure()
fignum_exists = _pylab_helpers.Gcf.has_fignum
def get_fignums():
"Return a list of existing figure numbers."
fignums = _pylab_helpers.Gcf.figs.keys()
fignums.sort()
return fignums
def get_current_fig_manager():
figManager = _pylab_helpers.Gcf.get_active()
if figManager is None:
gcf() # creates an active figure as a side effect
figManager = _pylab_helpers.Gcf.get_active()
return figManager
# note we check for __doc__ is not None since py2exe optimize removes
# the docstrings
def connect(s, func):
return get_current_fig_manager().canvas.mpl_connect(s, func)
if FigureCanvasBase.mpl_connect.__doc__ is not None:
connect.__doc__ = dedent(FigureCanvasBase.mpl_connect.__doc__)
def disconnect(cid):
return get_current_fig_manager().canvas.mpl_disconnect(cid)
if FigureCanvasBase.mpl_disconnect.__doc__ is not None:
disconnect.__doc__ = dedent(FigureCanvasBase.mpl_disconnect.__doc__)
def close(*args):
"""
Close a figure window
``close()`` by itself closes the current figure
``close(num)`` closes figure number *num*
``close(h)`` where *h* is a :class:`Figure` instance, closes that figure
``close('all')`` closes all the figure windows
"""
if len(args)==0:
figManager = _pylab_helpers.Gcf.get_active()
if figManager is None: return
else:
figManager.canvas.mpl_disconnect(figManager._cidgcf)
_pylab_helpers.Gcf.destroy(figManager.num)
elif len(args)==1:
arg = args[0]
if arg=='all':
for manager in _pylab_helpers.Gcf.get_all_fig_managers():
manager.canvas.mpl_disconnect(manager._cidgcf)
_pylab_helpers.Gcf.destroy(manager.num)
elif isinstance(arg, int):
_pylab_helpers.Gcf.destroy(arg)
elif isinstance(arg, Figure):
for manager in _pylab_helpers.Gcf.get_all_fig_managers():
if manager.canvas.figure==arg:
manager.canvas.mpl_disconnect(manager._cidgcf)
_pylab_helpers.Gcf.destroy(manager.num)
else:
raise TypeError('Unrecognized argument type %s to close'%type(arg))
else:
raise TypeError('close takes 0 or 1 arguments')
def clf():
"""
Clear the current figure
"""
gcf().clf()
draw_if_interactive()
def draw():
'redraw the current figure'
get_current_fig_manager().canvas.draw()
def savefig(*args, **kwargs):
fig = gcf()
return fig.savefig(*args, **kwargs)
if Figure.savefig.__doc__ is not None:
savefig.__doc__ = dedent(Figure.savefig.__doc__)
def ginput(*args, **kwargs):
"""
Blocking call to interact with the figure.
This will wait for *n* clicks from the user and return a list of the
coordinates of each click.
If *timeout* is negative, does not timeout.
"""
return gcf().ginput(*args, **kwargs)
if Figure.ginput.__doc__ is not None:
ginput.__doc__ = dedent(Figure.ginput.__doc__)
def waitforbuttonpress(*args, **kwargs):
"""
Blocking call to interact with the figure.
This will wait for *n* key or mouse clicks from the user and
return a list containing True's for keyboard clicks and False's
for mouse clicks.
If *timeout* is negative, does not timeout.
"""
return gcf().waitforbuttonpress(*args, **kwargs)
if Figure.waitforbuttonpress.__doc__ is not None:
waitforbuttonpress.__doc__ = dedent(Figure.waitforbuttonpress.__doc__)
# Putting things in figures
def figtext(*args, **kwargs):
ret = gcf().text(*args, **kwargs)
draw_if_interactive()
return ret
if Figure.text.__doc__ is not None:
figtext.__doc__ = dedent(Figure.text.__doc__)
def suptitle(*args, **kwargs):
ret = gcf().suptitle(*args, **kwargs)
draw_if_interactive()
return ret
if Figure.suptitle.__doc__ is not None:
suptitle.__doc__ = dedent(Figure.suptitle.__doc__)
def figimage(*args, **kwargs):
# allow callers to override the hold state by passing hold=True|False
ret = gcf().figimage(*args, **kwargs)
draw_if_interactive()
gci._current = ret
return ret
if Figure.figimage.__doc__ is not None:
figimage.__doc__ = dedent(Figure.figimage.__doc__) + """
Addition kwargs: hold = [True|False] overrides default hold state"""
def figlegend(handles, labels, loc, **kwargs):
"""
Place a legend in the figure.
*labels*
a sequence of strings
*handles*
a sequence of :class:`~matplotlib.lines.Line2D` or
:class:`~matplotlib.patches.Patch` instances
*loc*
can be a string or an integer specifying the legend
location
A :class:`matplotlib.legend.Legend` instance is returned.
Example::
figlegend( (line1, line2, line3),
('label1', 'label2', 'label3'),
'upper right' )
.. seealso::
:func:`~matplotlib.pyplot.legend`
"""
l = gcf().legend(handles, labels, loc, **kwargs)
draw_if_interactive()
return l
## Figure and Axes hybrid ##
def hold(b=None):
"""
Set the hold state. If *b* is None (default), toggle the
hold state, else set the hold state to boolean value *b*::
hold() # toggle hold
hold(True) # hold is on
hold(False) # hold is off
When *hold* is *True*, subsequent plot commands will be added to
the current axes. When *hold* is *False*, the current axes and
figure will be cleared on the next plot command.
"""
fig = gcf()
ax = fig.gca()
fig.hold(b)
ax.hold(b)
# b=None toggles the hold state, so let's get get the current hold
# state; but should pyplot hold toggle the rc setting - me thinks
# not
b = ax.ishold()
rc('axes', hold=b)
def ishold():
"""
Return the hold status of the current axes
"""
return gca().ishold()
def over(func, *args, **kwargs):
"""
over calls::
func(*args, **kwargs)
with ``hold(True)`` and then restores the hold state.
"""
h = ishold()
hold(True)
func(*args, **kwargs)
hold(h)
## Axes ##
def axes(*args, **kwargs):
"""
Add an axes at position rect specified by:
- ``axes()`` by itself creates a default full ``subplot(111)`` window axis.
- ``axes(rect, axisbg='w')`` where *rect* = [left, bottom, width,
height] in normalized (0, 1) units. *axisbg* is the background
color for the axis, default white.
- ``axes(h)`` where *h* is an axes instance makes *h* the current
axis. An :class:`~matplotlib.axes.Axes` instance is returned.
======= ============ ================================================
kwarg Accepts Desctiption
======= ============ ================================================
axisbg color the axes background color
frameon [True|False] display the frame?
sharex otherax current axes shares xaxis attribute with otherax
sharey otherax current axes shares yaxis attribute with otherax
polar [True|False] use a polar axes?
======= ============ ================================================
Examples:
* :file:`examples/pylab_examples/axes_demo.py` places custom axes.
* :file:`examples/pylab_examples/shared_axis_demo.py` uses
*sharex* and *sharey*.
"""
nargs = len(args)
if len(args)==0: return subplot(111, **kwargs)
if nargs>1:
raise TypeError('Only one non keyword arg to axes allowed')
arg = args[0]
if isinstance(arg, Axes):
a = gcf().sca(arg)
else:
rect = arg
a = gcf().add_axes(rect, **kwargs)
draw_if_interactive()
return a
def delaxes(*args):
"""
``delaxes(ax)``: remove *ax* from the current figure. If *ax*
doesn't exist, an error will be raised.
``delaxes()``: delete the current axes
"""
if not len(args):
ax = gca()
else:
ax = args[0]
ret = gcf().delaxes(ax)
draw_if_interactive()
return ret
def gca(**kwargs):
"""
Return the current axis instance. This can be used to control
axis properties either using set or the
:class:`~matplotlib.axes.Axes` methods, for example, setting the
xaxis range::
plot(t,s)
set(gca(), 'xlim', [0,10])
or::
plot(t,s)
a = gca()
a.set_xlim([0,10])
"""
ax = gcf().gca(**kwargs)
return ax
# More ways of creating axes:
def subplot(*args, **kwargs):
"""
Create a subplot command, creating axes with::
subplot(numRows, numCols, plotNum)
where *plotNum* = 1 is the first plot number and increasing *plotNums*
fill rows first. max(*plotNum*) == *numRows* * *numCols*
You can leave out the commas if *numRows* <= *numCols* <=
*plotNum* < 10, as in::
subplot(211) # 2 rows, 1 column, first (upper) plot
``subplot(111)`` is the default axis.
New subplots that overlap old will delete the old axes. If you do
not want this behavior, use
:meth:`matplotlib.figure.Figure.add_subplot` or the
:func:`~matplotlib.pyplot.axes` command. Eg.::
from pylab import *
plot([1,2,3]) # implicitly creates subplot(111)
subplot(211) # overlaps, subplot(111) is killed
plot(rand(12), rand(12))
subplot(212, axisbg='y') # creates 2nd subplot with yellow background
Keyword arguments:
*axisbg*:
The background color of the subplot, which can be any valid
color specifier. See :mod:`matplotlib.colors` for more
information.
*polar*:
A boolean flag indicating whether the subplot plot should be
a polar projection. Defaults to False.
*projection*:
A string giving the name of a custom projection to be used
for the subplot. This projection must have been previously
registered. See :func:`matplotlib.projections.register_projection`
.. seealso::
:func:`~matplotlib.pyplot.axes`
For additional information on :func:`axes` and
:func:`subplot` keyword arguments.
:file:`examples/pylab_examples/polar_scatter.py`
For an example
**Example:**
.. plot:: mpl_examples/pylab_examples/subplot_demo.py
"""
fig = gcf()
a = fig.add_subplot(*args, **kwargs)
bbox = a.bbox
byebye = []
for other in fig.axes:
if other==a: continue
if bbox.fully_overlaps(other.bbox):
byebye.append(other)
for ax in byebye: delaxes(ax)
draw_if_interactive()
return a
def twinx(ax=None):
"""
Make a second axes overlay *ax* (or the current axes if *ax* is
*None*) sharing the xaxis. The ticks for *ax2* will be placed on
the right, and the *ax2* instance is returned.
.. seealso::
:file:`examples/api_examples/two_scales.py`
For an example
"""
if ax is None:
ax=gca()
ax1 = ax.twinx()
draw_if_interactive()
return ax1
def twiny(ax=None):
"""
Make a second axes overlay *ax* (or the current axes if *ax* is
*None*) sharing the yaxis. The ticks for *ax2* will be placed on
the top, and the *ax2* instance is returned.
"""
if ax is None:
ax=gca()
ax1 = ax.twiny()
draw_if_interactive()
return ax1
def subplots_adjust(*args, **kwargs):
"""
call signature::
subplots_adjust(left=None, bottom=None, right=None, top=None,
wspace=None, hspace=None)
Tune the subplot layout via the
:class:`matplotlib.figure.SubplotParams` mechanism. The parameter
meanings (and suggested defaults) are::
left = 0.125 # the left side of the subplots of the figure
right = 0.9 # the right side of the subplots of the figure
bottom = 0.1 # the bottom of the subplots of the figure
top = 0.9 # the top of the subplots of the figure
wspace = 0.2 # the amount of width reserved for blank space between subplots
hspace = 0.2 # the amount of height reserved for white space between subplots
The actual defaults are controlled by the rc file
"""
fig = gcf()
fig.subplots_adjust(*args, **kwargs)
draw_if_interactive()
def subplot_tool(targetfig=None):
"""
Launch a subplot tool window for *targetfig* (default gcf).
A :class:`matplotlib.widgets.SubplotTool` instance is returned.
"""
tbar = rcParams['toolbar'] # turn off the navigation toolbar for the toolfig
rcParams['toolbar'] = 'None'
if targetfig is None:
manager = get_current_fig_manager()
targetfig = manager.canvas.figure
else:
# find the manager for this figure
for manager in _pylab_helpers.Gcf._activeQue:
if manager.canvas.figure==targetfig: break
else: raise RuntimeError('Could not find manager for targetfig')
toolfig = figure(figsize=(6,3))
toolfig.subplots_adjust(top=0.9)
ret = SubplotTool(targetfig, toolfig)
rcParams['toolbar'] = tbar
_pylab_helpers.Gcf.set_active(manager) # restore the current figure
return ret
def box(on=None):
"""
Turn the axes box on or off according to *on*.
If *on* is *None*, toggle state.
"""
ax = gca()
if on is None:
on = not ax.get_frame_on()
ax.set_frame_on(on)
draw_if_interactive()
def title(s, *args, **kwargs):
"""
Set the title of the current axis to *s*.
Default font override is::
override = {'fontsize': 'medium',
'verticalalignment': 'bottom',
'horizontalalignment': 'center'}
.. seealso::
:func:`~matplotlib.pyplot.text`
for information on how override and the optional args work.
"""
l = gca().set_title(s, *args, **kwargs)
draw_if_interactive()
return l
## Axis ##
def axis(*v, **kwargs):
"""
Set/Get the axis properties:
>>> axis()
returns the current axes limits ``[xmin, xmax, ymin, ymax]``.
>>> axis(v)
sets the min and max of the x and y axes, with
``v = [xmin, xmax, ymin, ymax]``.
>>> axis('off')
turns off the axis lines and labels.
>>> axis('equal')
changes limits of *x* or *y* axis so that equal increments of *x*
and *y* have the same length; a circle is circular.
>>> axis('scaled')
achieves the same result by changing the dimensions of the plot box instead
of the axis data limits.
>>> axis('tight')
changes *x* and *y* axis limits such that all data is shown. If
all data is already shown, it will move it to the center of the
figure without modifying (*xmax* - *xmin*) or (*ymax* -
*ymin*). Note this is slightly different than in matlab.
>>> axis('image')
is 'scaled' with the axis limits equal to the data limits.
>>> axis('auto')
and
>>> axis('normal')
are deprecated. They restore default behavior; axis limits are automatically
scaled to make the data fit comfortably within the plot box.
if ``len(*v)==0``, you can pass in *xmin*, *xmax*, *ymin*, *ymax*
as kwargs selectively to alter just those limits without changing
the others.
The xmin, xmax, ymin, ymax tuple is returned
.. seealso::
:func:`xlim`, :func:`ylim`
For setting the x- and y-limits individually.
"""
ax = gca()
v = ax.axis(*v, **kwargs)
draw_if_interactive()
return v
def xlabel(s, *args, **kwargs):
"""
Set the *x* axis label of the current axis to *s*
Default override is::
override = {
'fontsize' : 'small',
'verticalalignment' : 'top',
'horizontalalignment' : 'center'
}
.. seealso::
:func:`~matplotlib.pyplot.text`
For information on how override and the optional args work
"""
l = gca().set_xlabel(s, *args, **kwargs)
draw_if_interactive()
return l
def ylabel(s, *args, **kwargs):
"""
Set the *y* axis label of the current axis to *s*.
Defaults override is::
override = {
'fontsize' : 'small',
'verticalalignment' : 'center',
'horizontalalignment' : 'right',
'rotation'='vertical' : }
.. seealso::
:func:`~matplotlib.pyplot.text`
For information on how override and the optional args
work.
"""
l = gca().set_ylabel(s, *args, **kwargs)
draw_if_interactive()
return l
def xlim(*args, **kwargs):
"""
Set/Get the xlimits of the current axes::
xmin, xmax = xlim() # return the current xlim
xlim( (xmin, xmax) ) # set the xlim to xmin, xmax
xlim( xmin, xmax ) # set the xlim to xmin, xmax
If you do not specify args, you can pass the xmin and xmax as
kwargs, eg.::
xlim(xmax=3) # adjust the max leaving min unchanged
xlim(xmin=1) # adjust the min leaving max unchanged
The new axis limits are returned as a length 2 tuple.
"""
ax = gca()
ret = ax.set_xlim(*args, **kwargs)
draw_if_interactive()
return ret
def ylim(*args, **kwargs):
"""
Set/Get the ylimits of the current axes::
ymin, ymax = ylim() # return the current ylim
ylim( (ymin, ymax) ) # set the ylim to ymin, ymax
ylim( ymin, ymax ) # set the ylim to ymin, ymax
If you do not specify args, you can pass the *ymin* and *ymax* as
kwargs, eg.::
ylim(ymax=3) # adjust the max leaving min unchanged
ylim(ymin=1) # adjust the min leaving max unchanged
The new axis limits are returned as a length 2 tuple.
"""
ax = gca()
ret = ax.set_ylim(*args, **kwargs)
draw_if_interactive()
return ret
def xscale(*args, **kwargs):
"""
call signature::
xscale(scale, **kwargs)
Set the scaling for the x-axis: %(scale)s
Different keywords may be accepted, depending on the scale:
%(scale_docs)s
"""
ax = gca()
ret = ax.set_xscale(*args, **kwargs)
draw_if_interactive()
return ret
xscale.__doc__ = dedent(xscale.__doc__) % {
'scale': ' | '.join([repr(_x) for _x in get_scale_names()]),
'scale_docs': get_scale_docs()}
def yscale(*args, **kwargs):
"""
call signature::
xscale(scale, **kwargs)
Set the scaling for the y-axis: %(scale)s
Different keywords may be accepted, depending on the scale:
%(scale_docs)s
"""
ax = gca()
ret = ax.set_yscale(*args, **kwargs)
draw_if_interactive()
return ret
yscale.__doc__ = dedent(yscale.__doc__) % {
'scale': ' | '.join([repr(_x) for _x in get_scale_names()]),
'scale_docs': get_scale_docs()}
def xticks(*args, **kwargs):
"""
Set/Get the xlimits of the current ticklocs and labels::
# return locs, labels where locs is an array of tick locations and
# labels is an array of tick labels.
locs, labels = xticks()
# set the locations of the xticks
xticks( arange(6) )
# set the locations and labels of the xticks
xticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
The keyword args, if any, are :class:`~matplotlib.text.Text`
properties. For example, to rotate long labels::
xticks( arange(12), calendar.month_name[1:13], rotation=17 )
"""
ax = gca()
if len(args)==0:
locs = ax.get_xticks()
labels = ax.get_xticklabels()
elif len(args)==1:
locs = ax.set_xticks(args[0])
labels = ax.get_xticklabels()
elif len(args)==2:
locs = ax.set_xticks(args[0])
labels = ax.set_xticklabels(args[1], **kwargs)
else: raise TypeError('Illegal number of arguments to xticks')
if len(kwargs):
for l in labels:
l.update(kwargs)
draw_if_interactive()
return locs, silent_list('Text xticklabel', labels)
def yticks(*args, **kwargs):
"""
Set/Get the ylimits of the current ticklocs and labels::
# return locs, labels where locs is an array of tick locations and
# labels is an array of tick labels.
locs, labels = yticks()
# set the locations of the yticks
yticks( arange(6) )
# set the locations and labels of the yticks
yticks( arange(5), ('Tom', 'Dick', 'Harry', 'Sally', 'Sue') )
The keyword args, if any, are :class:`~matplotlib.text.Text`
properties. For example, to rotate long labels::
yticks( arange(12), calendar.month_name[1:13], rotation=45 )
"""
ax = gca()
if len(args)==0:
locs = ax.get_yticks()
labels = ax.get_yticklabels()
elif len(args)==1:
locs = ax.set_yticks(args[0])
labels = ax.get_yticklabels()
elif len(args)==2:
locs = ax.set_yticks(args[0])
labels = ax.set_yticklabels(args[1], **kwargs)
else: raise TypeError('Illegal number of arguments to yticks')
if len(kwargs):
for l in labels:
l.update(kwargs)
draw_if_interactive()
return ( locs,
silent_list('Text yticklabel', labels)
)
def minorticks_on():
"""
Display minor ticks on the current plot.
Displaying minor ticks reduces performance; turn them off using
minorticks_off() if drawing speed is a problem.
"""
gca().minorticks_on()
draw_if_interactive()
def minorticks_off():
"""
Remove minor ticks from the current plot.
"""
gca().minorticks_off()
draw_if_interactive()
def rgrids(*args, **kwargs):
"""
Set/Get the radial locations of the gridlines and ticklabels on a
polar plot.
call signatures::
lines, labels = rgrids()
lines, labels = rgrids(radii, labels=None, angle=22.5, **kwargs)
When called with no arguments, :func:`rgrid` simply returns the
tuple (*lines*, *labels*), where *lines* is an array of radial
gridlines (:class:`~matplotlib.lines.Line2D` instances) and
*labels* is an array of tick labels
(:class:`~matplotlib.text.Text` instances). When called with
arguments, the labels will appear at the specified radial
distances and angles.
*labels*, if not *None*, is a len(*radii*) list of strings of the
labels to use at each angle.
If *labels* is None, the rformatter will be used
Examples::
# set the locations of the radial gridlines and labels
lines, labels = rgrids( (0.25, 0.5, 1.0) )
# set the locations and labels of the radial gridlines and labels
lines, labels = rgrids( (0.25, 0.5, 1.0), ('Tom', 'Dick', 'Harry' )
"""
ax = gca()
if not isinstance(ax, PolarAxes):
raise RuntimeError('rgrids only defined for polar axes')
if len(args)==0:
lines = ax.yaxis.get_gridlines()
labels = ax.yaxis.get_ticklabels()
else:
lines, labels = ax.set_rgrids(*args, **kwargs)
draw_if_interactive()
return ( silent_list('Line2D rgridline', lines),
silent_list('Text rgridlabel', labels) )
def thetagrids(*args, **kwargs):
"""
Set/Get the theta locations of the gridlines and ticklabels.
If no arguments are passed, return a tuple (*lines*, *labels*)
where *lines* is an array of radial gridlines
(:class:`~matplotlib.lines.Line2D` instances) and *labels* is an
array of tick labels (:class:`~matplotlib.text.Text` instances)::
lines, labels = thetagrids()
Otherwise the syntax is::
lines, labels = thetagrids(angles, labels=None, fmt='%d', frac = 1.1)
set the angles at which to place the theta grids (these gridlines
are equal along the theta dimension).
*angles* is in degrees.
*labels*, if not *None*, is a len(angles) list of strings of the
labels to use at each angle.
If *labels* is *None*, the labels will be ``fmt%angle``.
*frac* is the fraction of the polar axes radius at which to place
the label (1 is the edge). Eg. 1.05 is outside the axes and 0.95
is inside the axes.
Return value is a list of tuples (*lines*, *labels*):
- *lines* are :class:`~matplotlib.lines.Line2D` instances
- *labels* are :class:`~matplotlib.text.Text` instances.
Note that on input, the *labels* argument is a list of strings,
and on output it is a list of :class:`~matplotlib.text.Text`
instances.
Examples::
# set the locations of the radial gridlines and labels
lines, labels = thetagrids( range(45,360,90) )
# set the locations and labels of the radial gridlines and labels
lines, labels = thetagrids( range(45,360,90), ('NE', 'NW', 'SW','SE') )
"""
ax = gca()
if not isinstance(ax, PolarAxes):
raise RuntimeError('rgrids only defined for polar axes')
if len(args)==0:
lines = ax.xaxis.get_ticklines()
labels = ax.xaxis.get_ticklabels()
else:
lines, labels = ax.set_thetagrids(*args, **kwargs)
draw_if_interactive()
return (silent_list('Line2D thetagridline', lines),
silent_list('Text thetagridlabel', labels)
)
## Plotting Info ##
def plotting():
"""
Plotting commands
=============== =========================================================
Command Description
=============== =========================================================
axes Create a new axes
axis Set or return the current axis limits
bar make a bar chart
boxplot make a box and whiskers chart
cla clear current axes
clabel label a contour plot
clf clear a figure window
close close a figure window
colorbar add a colorbar to the current figure
cohere make a plot of coherence
contour make a contour plot
contourf make a filled contour plot
csd make a plot of cross spectral density
draw force a redraw of the current figure
errorbar make an errorbar graph
figlegend add a legend to the figure
figimage add an image to the figure, w/o resampling
figtext add text in figure coords
figure create or change active figure
fill make filled polygons
fill_between make filled polygons between two sets of y-values
fill_betweenx make filled polygons between two sets of x-values
gca return the current axes
gcf return the current figure
gci get the current image, or None
getp get a graphics property
hist make a histogram
hold set the hold state on current axes
legend add a legend to the axes
loglog a log log plot
imread load image file into array
imsave save array as an image file
imshow plot image data
matshow display a matrix in a new figure preserving aspect
pcolor make a pseudocolor plot
plot make a line plot
plotfile plot data from a flat file
psd make a plot of power spectral density
quiver make a direction field (arrows) plot
rc control the default params
savefig save the current figure
scatter make a scatter plot
setp set a graphics property
semilogx log x axis
semilogy log y axis
show show the figures
specgram a spectrogram plot
stem make a stem plot
subplot make a subplot (numrows, numcols, axesnum)
table add a table to the axes
text add some text at location x,y to the current axes
title add a title to the current axes
xlabel add an xlabel to the current axes
ylabel add a ylabel to the current axes
=============== =========================================================
The following commands will set the default colormap accordingly:
* autumn
* bone
* cool
* copper
* flag
* gray
* hot
* hsv
* jet
* pink
* prism
* spring
* summer
* winter
* spectral
"""
pass
def get_plot_commands(): return ( 'axes', 'axis', 'bar', 'boxplot', 'cla', 'clf',
'close', 'colorbar', 'cohere', 'csd', 'draw', 'errorbar',
'figlegend', 'figtext', 'figimage', 'figure', 'fill', 'gca',
'gcf', 'gci', 'get', 'gray', 'barh', 'jet', 'hist', 'hold', 'imread', 'imsave',
'imshow', 'legend', 'loglog', 'quiver', 'rc', 'pcolor', 'pcolormesh', 'plot', 'psd',
'savefig', 'scatter', 'set', 'semilogx', 'semilogy', 'show',
'specgram', 'stem', 'subplot', 'table', 'text', 'title', 'xlabel',
'ylabel', 'pie', 'polar')
def colors():
"""
This is a do-nothing function to provide you with help on how
matplotlib handles colors.
Commands which take color arguments can use several formats to
specify the colors. For the basic builtin colors, you can use a
single letter
===== =======
Alias Color
===== =======
'b' blue
'g' green
'r' red
'c' cyan
'm' magenta
'y' yellow
'k' black
'w' white
===== =======
For a greater range of colors, you have two options. You can
specify the color using an html hex string, as in::
color = '#eeefff'
or you can pass an R,G,B tuple, where each of R,G,B are in the
range [0,1].
You can also use any legal html name for a color, for example::
color = 'red',
color = 'burlywood'
color = 'chartreuse'
The example below creates a subplot with a dark
slate gray background
subplot(111, axisbg=(0.1843, 0.3098, 0.3098))
Here is an example that creates a pale turqoise title::
title('Is this the best color?', color='#afeeee')
"""
pass
def colormaps():
"""
matplotlib provides the following colormaps.
* autumn
* bone
* cool
* copper
* flag
* gray
* hot
* hsv
* jet
* pink
* prism
* spring
* summer
* winter
* spectral
You can set the colormap for an image, pcolor, scatter, etc,
either as a keyword argument::
imshow(X, cmap=cm.hot)
or post-hoc using the corresponding pylab interface function::
imshow(X)
hot()
jet()
In interactive mode, this will update the colormap allowing you to
see which one works best for your data.
"""
pass
## Plotting part 1: manually generated functions and wrappers ##
import matplotlib.colorbar
def colorbar(mappable=None, cax=None, ax=None, **kw):
if mappable is None:
mappable = gci()
if ax is None:
ax = gca()
ret = gcf().colorbar(mappable, cax = cax, ax=ax, **kw)
draw_if_interactive()
return ret
colorbar.__doc__ = matplotlib.colorbar.colorbar_doc
def clim(vmin=None, vmax=None):
"""
Set the color limits of the current image
To apply clim to all axes images do::
clim(0, 0.5)
If either *vmin* or *vmax* is None, the image min/max respectively
will be used for color scaling.
If you want to set the clim of multiple images,
use, for example::
for im in gca().get_images():
im.set_clim(0, 0.05)
"""
im = gci()
if im is None:
raise RuntimeError('You must first define an image, eg with imshow')
im.set_clim(vmin, vmax)
draw_if_interactive()
def set_cmap(cmap):
'''
set the default colormap to *cmap* and apply to current image if any.
See help(colormaps) for more information.
*cmap* must be a :class:`colors.Colormap` instance, or
the name of a registered colormap.
See :func:`register_cmap` and :func:`get_cmap`.
'''
cmap = cm.get_cmap(cmap)
rc('image', cmap=cmap.name)
im = gci()
if im is not None:
im.set_cmap(cmap)
draw_if_interactive()
def imread(*args, **kwargs):
return _imread(*args, **kwargs)
if _imread.__doc__ is not None:
imread.__doc__ = dedent(_imread.__doc__)
def imsave(*args, **kwargs):
return _imsave(*args, **kwargs)
if _imsave.__doc__ is not None:
imsave.__doc__ = dedent(_imsave.__doc__)
def matshow(A, fignum=None, **kw):
"""
Display an array as a matrix in a new figure window.
The origin is set at the upper left hand corner and rows (first
dimension of the array) are displayed horizontally. The aspect
ratio of the figure window is that of the array, unless this would
make an excessively short or narrow figure.
Tick labels for the xaxis are placed on top.
With the exception of fignum, keyword arguments are passed to
:func:`~matplotlib.pyplot.imshow`.
*fignum*: [ None | integer | False ]
By default, :func:`matshow` creates a new figure window with
automatic numbering. If *fignum* is given as an integer, the
created figure will use this figure number. Because of how
:func:`matshow` tries to set the figure aspect ratio to be the
one of the array, if you provide the number of an already
existing figure, strange things may happen.
If *fignum* is *False* or 0, a new figure window will **NOT** be created.
"""
if fignum is False or fignum is 0:
ax = gca()
else:
# Extract actual aspect ratio of array and make appropriately sized figure
fig = figure(fignum, figsize=figaspect(A))
ax = fig.add_axes([0.15, 0.09, 0.775, 0.775])
im = ax.matshow(A, **kw)
gci._current = im
draw_if_interactive()
return im
def polar(*args, **kwargs):
"""
call signature::
polar(theta, r, **kwargs)
Make a polar plot. Multiple *theta*, *r* arguments are supported,
with format strings, as in :func:`~matplotlib.pyplot.plot`.
An optional kwarg *resolution* sets the number of vertices to
interpolate between each pair of points. The default is 1,
which disables interpolation.
"""
resolution = kwargs.pop('resolution', None)
ax = gca(polar=True, resolution=resolution)
ret = ax.plot(*args, **kwargs)
draw_if_interactive()
return ret
def plotfile(fname, cols=(0,), plotfuncs=None,
comments='#', skiprows=0, checkrows=5, delimiter=',', names=None,
subplots=True, newfig=True,
**kwargs):
"""
Plot the data in *fname*
*cols* is a sequence of column identifiers to plot. An identifier
is either an int or a string. If it is an int, it indicates the
column number. If it is a string, it indicates the column header.
matplotlib will make column headers lower case, replace spaces with
underscores, and remove all illegal characters; so ``'Adj Close*'``
will have name ``'adj_close'``.
- If len(*cols*) == 1, only that column will be plotted on the *y* axis.
- If len(*cols*) > 1, the first element will be an identifier for
data for the *x* axis and the remaining elements will be the
column indexes for multiple subplots if *subplots* is *True*
(the default), or for lines in a single subplot if *subplots*
is *False*.
*plotfuncs*, if not *None*, is a dictionary mapping identifier to
an :class:`~matplotlib.axes.Axes` plotting function as a string.
Default is 'plot', other choices are 'semilogy', 'fill', 'bar',
etc. You must use the same type of identifier in the *cols*
vector as you use in the *plotfuncs* dictionary, eg., integer
column numbers in both or column names in both. If *subplots*
is *False*, then including any function such as 'semilogy'
that changes the axis scaling will set the scaling for all
columns.
*comments*, *skiprows*, *checkrows*, *delimiter*, and *names*
are all passed on to :func:`matplotlib.pylab.csv2rec` to
load the data into a record array.
If *newfig* is *True*, the plot always will be made in a new figure;
if *False*, it will be made in the current figure if one exists,
else in a new figure.
kwargs are passed on to plotting functions.
Example usage::
# plot the 2nd and 4th column against the 1st in two subplots
plotfile(fname, (0,1,3))
# plot using column names; specify an alternate plot type for volume
plotfile(fname, ('date', 'volume', 'adj_close'),
plotfuncs={'volume': 'semilogy'})
Note: plotfile is intended as a convenience for quickly plotting
data from flat files; it is not intended as an alternative
interface to general plotting with pyplot or matplotlib.
"""
if newfig:
fig = figure()
else:
fig = gcf()
if len(cols)<1:
raise ValueError('must have at least one column of data')
if plotfuncs is None:
plotfuncs = dict()
r = mlab.csv2rec(fname, comments=comments, skiprows=skiprows,
checkrows=checkrows, delimiter=delimiter, names=names)
def getname_val(identifier):
'return the name and column data for identifier'
if is_string_like(identifier):
return identifier, r[identifier]
elif is_numlike(identifier):
name = r.dtype.names[int(identifier)]
return name, r[name]
else:
raise TypeError('identifier must be a string or integer')
xname, x = getname_val(cols[0])
ynamelist = []
if len(cols)==1:
ax1 = fig.add_subplot(1,1,1)
funcname = plotfuncs.get(cols[0], 'plot')
func = getattr(ax1, funcname)
func(x, **kwargs)
ax1.set_ylabel(xname)
else:
N = len(cols)
for i in range(1,N):
if subplots:
if i==1:
ax = ax1 = fig.add_subplot(N-1,1,i)
else:
ax = fig.add_subplot(N-1,1,i, sharex=ax1)
elif i==1:
ax = fig.add_subplot(1,1,1)
ax.grid(True)
yname, y = getname_val(cols[i])
ynamelist.append(yname)
funcname = plotfuncs.get(cols[i], 'plot')
func = getattr(ax, funcname)
func(x, y, **kwargs)
if subplots:
ax.set_ylabel(yname)
if ax.is_last_row():
ax.set_xlabel(xname)
else:
ax.set_xlabel('')
if not subplots:
ax.legend(ynamelist, loc='best')
if xname=='date':
fig.autofmt_xdate()
draw_if_interactive()
# This is added to docstrings of autogenerated plotting functions
__docstring_addendum = """
Additional kwargs: hold = [True|False] overrides default hold state"""
## Plotting part 2: autogenerated wrappers for axes methods ##
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def acorr(x, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.acorr(x, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.acorr.__doc__ is not None:
acorr.__doc__ = dedent(Axes.acorr.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def arrow(x, y, dx, dy, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.arrow(x, y, dx, dy, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.arrow.__doc__ is not None:
arrow.__doc__ = dedent(Axes.arrow.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def axhline(y=0, xmin=0, xmax=1, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.axhline(y, xmin, xmax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.axhline.__doc__ is not None:
axhline.__doc__ = dedent(Axes.axhline.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def axhspan(ymin, ymax, xmin=0, xmax=1, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.axhspan(ymin, ymax, xmin, xmax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.axhspan.__doc__ is not None:
axhspan.__doc__ = dedent(Axes.axhspan.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def axvline(x=0, ymin=0, ymax=1, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.axvline(x, ymin, ymax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.axvline.__doc__ is not None:
axvline.__doc__ = dedent(Axes.axvline.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def axvspan(xmin, xmax, ymin=0, ymax=1, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.axvspan(xmin, xmax, ymin, ymax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.axvspan.__doc__ is not None:
axvspan.__doc__ = dedent(Axes.axvspan.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def bar(left, height, width=0.80000000000000004, bottom=None, color=None, edgecolor=None, linewidth=None, yerr=None, xerr=None, ecolor=None, capsize=3, align='edge', orientation='vertical', log=False, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.bar(left, height, width, bottom, color, edgecolor, linewidth, yerr, xerr, ecolor, capsize, align, orientation, log, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.bar.__doc__ is not None:
bar.__doc__ = dedent(Axes.bar.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def barh(bottom, width, height=0.80000000000000004, left=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.barh(bottom, width, height, left, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.barh.__doc__ is not None:
barh.__doc__ = dedent(Axes.barh.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def broken_barh(xranges, yrange, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.broken_barh(xranges, yrange, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.broken_barh.__doc__ is not None:
broken_barh.__doc__ = dedent(Axes.broken_barh.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def boxplot(x, notch=0, sym='b+', vert=1, whis=1.5, positions=None, widths=None, hold=None):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.boxplot(x, notch, sym, vert, whis, positions, widths)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.boxplot.__doc__ is not None:
boxplot.__doc__ = dedent(Axes.boxplot.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def cohere(x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none, window=mlab.window_hanning, noverlap=0, pad_to=None, sides='default', scale_by_freq=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.cohere(x, y, NFFT, Fs, Fc, detrend, window, noverlap, pad_to, sides, scale_by_freq, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.cohere.__doc__ is not None:
cohere.__doc__ = dedent(Axes.cohere.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def clabel(CS, *args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.clabel(CS, *args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.clabel.__doc__ is not None:
clabel.__doc__ = dedent(Axes.clabel.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def contour(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.contour(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
if ret._A is not None: gci._current = ret
return ret
if Axes.contour.__doc__ is not None:
contour.__doc__ = dedent(Axes.contour.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def contourf(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.contourf(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
if ret._A is not None: gci._current = ret
return ret
if Axes.contourf.__doc__ is not None:
contourf.__doc__ = dedent(Axes.contourf.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def csd(x, y, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none, window=mlab.window_hanning, noverlap=0, pad_to=None, sides='default', scale_by_freq=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.csd(x, y, NFFT, Fs, Fc, detrend, window, noverlap, pad_to, sides, scale_by_freq, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.csd.__doc__ is not None:
csd.__doc__ = dedent(Axes.csd.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def errorbar(x, y, yerr=None, xerr=None, fmt='-', ecolor=None, elinewidth=None, capsize=3, barsabove=False, lolims=False, uplims=False, xlolims=False, xuplims=False, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.errorbar(x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize, barsabove, lolims, uplims, xlolims, xuplims, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.errorbar.__doc__ is not None:
errorbar.__doc__ = dedent(Axes.errorbar.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def fill(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.fill(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.fill.__doc__ is not None:
fill.__doc__ = dedent(Axes.fill.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def fill_between(x, y1, y2=0, where=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.fill_between(x, y1, y2, where, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.fill_between.__doc__ is not None:
fill_between.__doc__ = dedent(Axes.fill_between.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def fill_betweenx(y, x1, x2=0, where=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.fill_betweenx(y, x1, x2, where, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.fill_betweenx.__doc__ is not None:
fill_betweenx.__doc__ = dedent(Axes.fill_betweenx.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def hexbin(x, y, C=None, gridsize=100, bins=None, xscale='linear', yscale='linear', extent=None, cmap=None, norm=None, vmin=None, vmax=None, alpha=1.0, linewidths=None, edgecolors='none', reduce_C_function=np.mean, mincnt=None, marginals=False, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.hexbin(x, y, C, gridsize, bins, xscale, yscale, extent, cmap, norm, vmin, vmax, alpha, linewidths, edgecolors, reduce_C_function, mincnt, marginals, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.hexbin.__doc__ is not None:
hexbin.__doc__ = dedent(Axes.hexbin.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def hist(x, bins=10, range=None, normed=False, weights=None, cumulative=False, bottom=None, histtype='bar', align='mid', orientation='vertical', rwidth=None, log=False, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.hist.__doc__ is not None:
hist.__doc__ = dedent(Axes.hist.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def hlines(y, xmin, xmax, colors='k', linestyles='solid', label='', hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.hlines(y, xmin, xmax, colors, linestyles, label, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.hlines.__doc__ is not None:
hlines.__doc__ = dedent(Axes.hlines.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def imshow(X, cmap=None, norm=None, aspect=None, interpolation=None, alpha=1.0, vmin=None, vmax=None, origin=None, extent=None, shape=None, filternorm=1, filterrad=4.0, imlim=None, resample=None, url=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.imshow(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, shape, filternorm, filterrad, imlim, resample, url, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.imshow.__doc__ is not None:
imshow.__doc__ = dedent(Axes.imshow.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def loglog(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.loglog(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.loglog.__doc__ is not None:
loglog.__doc__ = dedent(Axes.loglog.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def pcolor(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.pcolor(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.pcolor.__doc__ is not None:
pcolor.__doc__ = dedent(Axes.pcolor.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def pcolormesh(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.pcolormesh(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.pcolormesh.__doc__ is not None:
pcolormesh.__doc__ = dedent(Axes.pcolormesh.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def pie(x, explode=None, labels=None, colors=None, autopct=None, pctdistance=0.59999999999999998, shadow=False, labeldistance=1.1000000000000001, hold=None):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.pie(x, explode, labels, colors, autopct, pctdistance, shadow, labeldistance)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.pie.__doc__ is not None:
pie.__doc__ = dedent(Axes.pie.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def plot(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.plot(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.plot.__doc__ is not None:
plot.__doc__ = dedent(Axes.plot.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def plot_date(x, y, fmt='bo', tz=None, xdate=True, ydate=False, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.plot_date(x, y, fmt, tz, xdate, ydate, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.plot_date.__doc__ is not None:
plot_date.__doc__ = dedent(Axes.plot_date.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def psd(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none, window=mlab.window_hanning, noverlap=0, pad_to=None, sides='default', scale_by_freq=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.psd(x, NFFT, Fs, Fc, detrend, window, noverlap, pad_to, sides, scale_by_freq, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.psd.__doc__ is not None:
psd.__doc__ = dedent(Axes.psd.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def quiver(*args, **kw):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kw.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.quiver(*args, **kw)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.quiver.__doc__ is not None:
quiver.__doc__ = dedent(Axes.quiver.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def quiverkey(*args, **kw):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kw.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.quiverkey(*args, **kw)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.quiverkey.__doc__ is not None:
quiverkey.__doc__ = dedent(Axes.quiverkey.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def scatter(x, y, s=20, c='b', marker='o', cmap=None, norm=None, vmin=None, vmax=None, alpha=1.0, linewidths=None, faceted=True, verts=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.scatter(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, faceted, verts, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.scatter.__doc__ is not None:
scatter.__doc__ = dedent(Axes.scatter.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def semilogx(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.semilogx(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.semilogx.__doc__ is not None:
semilogx.__doc__ = dedent(Axes.semilogx.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def semilogy(*args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.semilogy(*args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.semilogy.__doc__ is not None:
semilogy.__doc__ = dedent(Axes.semilogy.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def specgram(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none, window=mlab.window_hanning, noverlap=128, cmap=None, xextent=None, pad_to=None, sides='default', scale_by_freq=None, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.specgram(x, NFFT, Fs, Fc, detrend, window, noverlap, cmap, xextent, pad_to, sides, scale_by_freq, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret[-1]
return ret
if Axes.specgram.__doc__ is not None:
specgram.__doc__ = dedent(Axes.specgram.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def spy(Z, precision=0, marker=None, markersize=None, aspect='equal', hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.spy(Z, precision, marker, markersize, aspect, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
gci._current = ret
return ret
if Axes.spy.__doc__ is not None:
spy.__doc__ = dedent(Axes.spy.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def stem(x, y, linefmt='b-', markerfmt='bo', basefmt='r-', hold=None):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.stem(x, y, linefmt, markerfmt, basefmt)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.stem.__doc__ is not None:
stem.__doc__ = dedent(Axes.stem.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def step(x, y, *args, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kwargs.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.step(x, y, *args, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.step.__doc__ is not None:
step.__doc__ = dedent(Axes.step.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def vlines(x, ymin, ymax, colors='k', linestyles='solid', label='', hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.vlines(x, ymin, ymax, colors, linestyles, label, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.vlines.__doc__ is not None:
vlines.__doc__ = dedent(Axes.vlines.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def xcorr(x, y, normed=True, detrend=mlab.detrend_none, usevlines=True, maxlags=10, hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.xcorr(x, y, normed, detrend, usevlines, maxlags, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.xcorr.__doc__ is not None:
xcorr.__doc__ = dedent(Axes.xcorr.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def barbs(*args, **kw):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
hold = kw.pop('hold', None)
if hold is not None:
ax.hold(hold)
try:
ret = ax.barbs(*args, **kw)
draw_if_interactive()
finally:
ax.hold(washold)
return ret
if Axes.barbs.__doc__ is not None:
barbs.__doc__ = dedent(Axes.barbs.__doc__) + __docstring_addendum
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def cla():
ret = gca().cla()
draw_if_interactive()
return ret
if Axes.cla.__doc__ is not None:
cla.__doc__ = dedent(Axes.cla.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def grid(b=None, **kwargs):
ret = gca().grid(b, **kwargs)
draw_if_interactive()
return ret
if Axes.grid.__doc__ is not None:
grid.__doc__ = dedent(Axes.grid.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def legend(*args, **kwargs):
ret = gca().legend(*args, **kwargs)
draw_if_interactive()
return ret
if Axes.legend.__doc__ is not None:
legend.__doc__ = dedent(Axes.legend.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def table(**kwargs):
ret = gca().table(**kwargs)
draw_if_interactive()
return ret
if Axes.table.__doc__ is not None:
table.__doc__ = dedent(Axes.table.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def text(x, y, s, fontdict=None, withdash=False, **kwargs):
ret = gca().text(x, y, s, fontdict, withdash, **kwargs)
draw_if_interactive()
return ret
if Axes.text.__doc__ is not None:
text.__doc__ = dedent(Axes.text.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def annotate(*args, **kwargs):
ret = gca().annotate(*args, **kwargs)
draw_if_interactive()
return ret
if Axes.annotate.__doc__ is not None:
annotate.__doc__ = dedent(Axes.annotate.__doc__)
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def autumn():
'''
set the default colormap to autumn and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='autumn')
im = gci()
if im is not None:
im.set_cmap(cm.autumn)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def bone():
'''
set the default colormap to bone and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='bone')
im = gci()
if im is not None:
im.set_cmap(cm.bone)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def cool():
'''
set the default colormap to cool and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='cool')
im = gci()
if im is not None:
im.set_cmap(cm.cool)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def copper():
'''
set the default colormap to copper and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='copper')
im = gci()
if im is not None:
im.set_cmap(cm.copper)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def flag():
'''
set the default colormap to flag and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='flag')
im = gci()
if im is not None:
im.set_cmap(cm.flag)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def gray():
'''
set the default colormap to gray and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='gray')
im = gci()
if im is not None:
im.set_cmap(cm.gray)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def hot():
'''
set the default colormap to hot and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='hot')
im = gci()
if im is not None:
im.set_cmap(cm.hot)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def hsv():
'''
set the default colormap to hsv and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='hsv')
im = gci()
if im is not None:
im.set_cmap(cm.hsv)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def jet():
'''
set the default colormap to jet and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='jet')
im = gci()
if im is not None:
im.set_cmap(cm.jet)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def pink():
'''
set the default colormap to pink and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='pink')
im = gci()
if im is not None:
im.set_cmap(cm.pink)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def prism():
'''
set the default colormap to prism and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='prism')
im = gci()
if im is not None:
im.set_cmap(cm.prism)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def spring():
'''
set the default colormap to spring and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='spring')
im = gci()
if im is not None:
im.set_cmap(cm.spring)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def summer():
'''
set the default colormap to summer and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='summer')
im = gci()
if im is not None:
im.set_cmap(cm.summer)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def winter():
'''
set the default colormap to winter and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='winter')
im = gci()
if im is not None:
im.set_cmap(cm.winter)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost
def spectral():
'''
set the default colormap to spectral and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='spectral')
im = gci()
if im is not None:
im.set_cmap(cm.spectral)
draw_if_interactive()