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Copy pathwidgets.py
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1577 lines (1226 loc) · 49.4 KB
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"""
GUI Neutral widgets
===================
Widgets that are designed to work for any of the GUI backends.
All of these widgets require you to predefine an :class:`matplotlib.axes.Axes`
instance and pass that as the first arg. matplotlib doesn't try to
be too smart with respect to layout -- you will have to figure out how
wide and tall you want your Axes to be to accommodate your widget.
"""
from __future__ import print_function
import numpy as np
from mlab import dist
from patches import Circle, Rectangle
from lines import Line2D
from transforms import blended_transform_factory
class LockDraw:
"""
Some widgets, like the cursor, draw onto the canvas, and this is not
desirable under all circumstaces, like when the toolbar is in
zoom-to-rect mode and drawing a rectangle. The module level "lock"
allows someone to grab the lock and prevent other widgets from
drawing. Use ``matplotlib.widgets.lock(someobj)`` to pr
"""
# FIXME: This docstring ends abruptly without...
def __init__(self):
self._owner = None
def __call__(self, o):
'reserve the lock for *o*'
if not self.available(o):
raise ValueError('already locked')
self._owner = o
def release(self, o):
'release the lock'
if not self.available(o):
raise ValueError('you do not own this lock')
self._owner = None
def available(self, o):
'drawing is available to *o*'
return not self.locked() or self.isowner(o)
def isowner(self, o):
'Return True if *o* owns this lock'
return self._owner is o
def locked(self):
'Return True if the lock is currently held by an owner'
return self._owner is not None
class Widget(object):
"""
Abstract base class for GUI neutral widgets
"""
drawon = True
eventson = True
class AxesWidget(Widget):
"""Widget that is connected to a single :class:`~matplotlib.axes.Axes`.
Attributes:
*ax* : :class:`~matplotlib.axes.Axes`
The parent axes for the widget
*canvas* : :class:`~matplotlib.backend_bases.FigureCanvasBase` subclass
The parent figure canvs for the widget.
*active* : bool
If False, the widget does not respond to events.
"""
def __init__(self, ax):
self.ax = ax
self.canvas = ax.figure.canvas
self.cids = []
self.active = True
def connect_event(self, event, callback):
"""Connect callback with an event.
This should be used in lieu of `figure.canvas.mpl_connect` since this
function stores call back ids for later clean up.
"""
cid = self.canvas.mpl_connect(event, callback)
self.cids.append(cid)
def disconnect_events(self):
"""Disconnect all events created by this widget."""
for c in self.cids:
self.canvas.mpl_disconnect(c)
def ignore(self, event):
"""Return True if event should be ignored.
This method (or a version of it) should be called at the beginning
of any event callback.
"""
return not self.active
class Button(AxesWidget):
"""
A GUI neutral button
The following attributes are accesible
*ax*
The :class:`matplotlib.axes.Axes` the button renders into.
*label*
A :class:`matplotlib.text.Text` instance.
*color*
The color of the button when not hovering.
*hovercolor*
The color of the button when hovering.
Call :meth:`on_clicked` to connect to the button
"""
def __init__(self, ax, label, image=None,
color='0.85', hovercolor='0.95'):
"""
*ax*
The :class:`matplotlib.axes.Axes` instance the button
will be placed into.
*label*
The button text. Accepts string.
*image*
The image to place in the button, if not *None*.
Can be any legal arg to imshow (numpy array,
matplotlib Image instance, or PIL image).
*color*
The color of the button when not activated
*hovercolor*
The color of the button when the mouse is over it
"""
AxesWidget.__init__(self, ax)
if image is not None:
ax.imshow(image)
self.label = ax.text(0.5, 0.5, label,
verticalalignment='center',
horizontalalignment='center',
transform=ax.transAxes)
self.cnt = 0
self.observers = {}
self.connect_event('button_press_event', self._click)
self.connect_event('button_release_event', self._release)
self.connect_event('motion_notify_event', self._motion)
ax.set_navigate(False)
ax.set_axis_bgcolor(color)
ax.set_xticks([])
ax.set_yticks([])
self.color = color
self.hovercolor = hovercolor
self._lastcolor = color
def _click(self, event):
if self.ignore(event):
return
if event.inaxes != self.ax:
return
if not self.eventson:
return
if event.canvas.mouse_grabber != self.ax:
event.canvas.grab_mouse(self.ax)
def _release(self, event):
if self.ignore(event):
return
if event.canvas.mouse_grabber != self.ax:
return
event.canvas.release_mouse(self.ax)
if not self.eventson:
return
if event.inaxes != self.ax:
return
for cid, func in self.observers.iteritems():
func(event)
def _motion(self, event):
if self.ignore(event):
return
if event.inaxes==self.ax:
c = self.hovercolor
else:
c = self.color
if c != self._lastcolor:
self.ax.set_axis_bgcolor(c)
self._lastcolor = c
if self.drawon: self.ax.figure.canvas.draw()
def on_clicked(self, func):
"""
When the button is clicked, call this *func* with event
A connection id is returned which can be used to disconnect
"""
cid = self.cnt
self.observers[cid] = func
self.cnt += 1
return cid
def disconnect(self, cid):
'remove the observer with connection id *cid*'
try: del self.observers[cid]
except KeyError: pass
class Slider(AxesWidget):
"""
A slider representing a floating point range
The following attributes are defined
*ax* : the slider :class:`matplotlib.axes.Axes` instance
*val* : the current slider value
*vline* : a :class:`matplotlib.lines.Line2D` instance
representing the initial value of the slider
*poly* : A :class:`matplotlib.patches.Polygon` instance
which is the slider knob
*valfmt* : the format string for formatting the slider text
*label* : a :class:`matplotlib.text.Text` instance
for the slider label
*closedmin* : whether the slider is closed on the minimum
*closedmax* : whether the slider is closed on the maximum
*slidermin* : another slider - if not *None*, this slider must be
greater than *slidermin*
*slidermax* : another slider - if not *None*, this slider must be
less than *slidermax*
*dragging* : allow for mouse dragging on slider
Call :meth:`on_changed` to connect to the slider event
"""
def __init__(self, ax, label, valmin, valmax, valinit=0.5, valfmt='%1.2f',
closedmin=True, closedmax=True, slidermin=None, slidermax=None,
dragging=True, **kwargs):
"""
Create a slider from *valmin* to *valmax* in axes *ax*
*valinit*
The slider initial position
*label*
The slider label
*valfmt*
Used to format the slider value
*closedmin* and *closedmax*
Indicate whether the slider interval is closed
*slidermin* and *slidermax*
Used to contrain the value of this slider to the values
of other sliders.
additional kwargs are passed on to ``self.poly`` which is the
:class:`matplotlib.patches.Rectangle` which draws the slider
knob. See the :class:`matplotlib.patches.Rectangle` documentation
valid property names (e.g., *facecolor*, *edgecolor*, *alpha*, ...)
"""
AxesWidget.__init__(self, ax)
self.valmin = valmin
self.valmax = valmax
self.val = valinit
self.valinit = valinit
self.poly = ax.axvspan(valmin,valinit,0,1, **kwargs)
self.vline = ax.axvline(valinit,0,1, color='r', lw=1)
self.valfmt=valfmt
ax.set_yticks([])
ax.set_xlim((valmin, valmax))
ax.set_xticks([])
ax.set_navigate(False)
self.connect_event('button_press_event', self._update)
self.connect_event('button_release_event', self._update)
if dragging:
self.connect_event('motion_notify_event', self._update)
self.label = ax.text(-0.02, 0.5, label, transform=ax.transAxes,
verticalalignment='center',
horizontalalignment='right')
self.valtext = ax.text(1.02, 0.5, valfmt%valinit,
transform=ax.transAxes,
verticalalignment='center',
horizontalalignment='left')
self.cnt = 0
self.observers = {}
self.closedmin = closedmin
self.closedmax = closedmax
self.slidermin = slidermin
self.slidermax = slidermax
self.drag_active = False
def _update(self, event):
'update the slider position'
if self.ignore(event):
return
if event.button != 1:
return
if event.name == 'button_press_event' and event.inaxes == self.ax:
self.drag_active = True
event.canvas.grab_mouse(self.ax)
if not self.drag_active:
return
elif ((event.name == 'button_release_event')
or (event.name == 'button_press_event' and event.inaxes != self.ax)):
self.drag_active = False
event.canvas.release_mouse(self.ax)
return
val = event.xdata
if val <= self.valmin:
if not self.closedmin:
return
val = self.valmin
elif val >= self.valmax:
if not self.closedmax:
return
val = self.valmax
if self.slidermin is not None:
if val<=self.slidermin.val: return
if self.slidermax is not None:
if val>=self.slidermax.val: return
self.set_val(val)
def set_val(self, val):
xy = self.poly.xy
xy[2] = val, 1
xy[3] = val, 0
self.poly.xy = xy
self.valtext.set_text(self.valfmt%val)
if self.drawon: self.ax.figure.canvas.draw()
self.val = val
if not self.eventson: return
for cid, func in self.observers.iteritems():
func(val)
def on_changed(self, func):
"""
When the slider value is changed, call *func* with the new
slider position
A connection id is returned which can be used to disconnect
"""
cid = self.cnt
self.observers[cid] = func
self.cnt += 1
return cid
def disconnect(self, cid):
'remove the observer with connection id *cid*'
try: del self.observers[cid]
except KeyError: pass
def reset(self):
"reset the slider to the initial value if needed"
if (self.val != self.valinit):
self.set_val(self.valinit)
class CheckButtons(AxesWidget):
"""
A GUI neutral radio button
The following attributes are exposed
*ax*
The :class:`matplotlib.axes.Axes` instance the buttons are
located in
*labels*
List of :class:`matplotlib.text.Text` instances
*lines*
List of (line1, line2) tuples for the x's in the check boxes.
These lines exist for each box, but have ``set_visible(False)``
when its box is not checked.
*rectangles*
List of :class:`matplotlib.patches.Rectangle` instances
Connect to the CheckButtons with the :meth:`on_clicked` method
"""
def __init__(self, ax, labels, actives):
"""
Add check buttons to :class:`matplotlib.axes.Axes` instance *ax*
*labels*
A len(buttons) list of labels as strings
*actives*
A len(buttons) list of booleans indicating whether
the button is active
"""
AxesWidget.__init__(self, ax)
ax.set_xticks([])
ax.set_yticks([])
ax.set_navigate(False)
if len(labels)>1:
dy = 1./(len(labels)+1)
ys = np.linspace(1-dy, dy, len(labels))
else:
dy = 0.25
ys = [0.5]
cnt = 0
axcolor = ax.get_axis_bgcolor()
self.labels = []
self.lines = []
self.rectangles = []
lineparams = {'color':'k', 'linewidth':1.25, 'transform':ax.transAxes,
'solid_capstyle':'butt'}
for y, label in zip(ys, labels):
t = ax.text(0.25, y, label, transform=ax.transAxes,
horizontalalignment='left',
verticalalignment='center')
w, h = dy/2., dy/2.
x, y = 0.05, y-h/2.
p = Rectangle(xy=(x,y), width=w, height=h,
facecolor=axcolor,
transform=ax.transAxes)
l1 = Line2D([x, x+w], [y+h, y], **lineparams)
l2 = Line2D([x, x+w], [y, y+h], **lineparams)
l1.set_visible(actives[cnt])
l2.set_visible(actives[cnt])
self.labels.append(t)
self.rectangles.append(p)
self.lines.append((l1,l2))
ax.add_patch(p)
ax.add_line(l1)
ax.add_line(l2)
cnt += 1
self.connect_event('button_press_event', self._clicked)
self.cnt = 0
self.observers = {}
def _clicked(self, event):
if self.ignore(event):
return
if event.button !=1 : return
if event.inaxes != self.ax: return
for p,t,lines in zip(self.rectangles, self.labels, self.lines):
if (t.get_window_extent().contains(event.x, event.y) or
p.get_window_extent().contains(event.x, event.y) ):
l1, l2 = lines
l1.set_visible(not l1.get_visible())
l2.set_visible(not l2.get_visible())
thist = t
break
else:
return
if self.drawon: self.ax.figure.canvas.draw()
if not self.eventson: return
for cid, func in self.observers.iteritems():
func(thist.get_text())
def on_clicked(self, func):
"""
When the button is clicked, call *func* with button label
A connection id is returned which can be used to disconnect
"""
cid = self.cnt
self.observers[cid] = func
self.cnt += 1
return cid
def disconnect(self, cid):
'remove the observer with connection id *cid*'
try: del self.observers[cid]
except KeyError: pass
class RadioButtons(AxesWidget):
"""
A GUI neutral radio button
The following attributes are exposed
*ax*
The :class:`matplotlib.axes.Axes` instance the buttons are in
*activecolor*
The color of the button when clicked
*labels*
A list of :class:`matplotlib.text.Text` instances
*circles*
A list of :class:`matplotlib.patches.Circle` instances
Connect to the RadioButtons with the :meth:`on_clicked` method
"""
def __init__(self, ax, labels, active=0, activecolor='blue'):
"""
Add radio buttons to :class:`matplotlib.axes.Axes` instance *ax*
*labels*
A len(buttons) list of labels as strings
*active*
The index into labels for the button that is active
*activecolor*
The color of the button when clicked
"""
AxesWidget.__init__(self, ax)
self.activecolor = activecolor
ax.set_xticks([])
ax.set_yticks([])
ax.set_navigate(False)
dy = 1./(len(labels)+1)
ys = np.linspace(1-dy, dy, len(labels))
cnt = 0
axcolor = ax.get_axis_bgcolor()
self.labels = []
self.circles = []
for y, label in zip(ys, labels):
t = ax.text(0.25, y, label, transform=ax.transAxes,
horizontalalignment='left',
verticalalignment='center')
if cnt==active:
facecolor = activecolor
else:
facecolor = axcolor
p = Circle(xy=(0.15, y), radius=0.05, facecolor=facecolor,
transform=ax.transAxes)
self.labels.append(t)
self.circles.append(p)
ax.add_patch(p)
cnt += 1
self.connect_event('button_press_event', self._clicked)
self.cnt = 0
self.observers = {}
def _clicked(self, event):
if self.ignore(event):
return
if event.button !=1 : return
if event.inaxes != self.ax: return
xy = self.ax.transAxes.inverted().transform_point((event.x, event.y))
pclicked = np.array([xy[0], xy[1]])
def inside(p):
pcirc = np.array([p.center[0], p.center[1]])
return dist(pclicked, pcirc) < p.radius
for p,t in zip(self.circles, self.labels):
if t.get_window_extent().contains(event.x, event.y) or inside(p):
inp = p
thist = t
break
else: return
for p in self.circles:
if p==inp: color = self.activecolor
else: color = self.ax.get_axis_bgcolor()
p.set_facecolor(color)
if self.drawon: self.ax.figure.canvas.draw()
if not self.eventson: return
for cid, func in self.observers.iteritems():
func(thist.get_text())
def on_clicked(self, func):
"""
When the button is clicked, call *func* with button label
A connection id is returned which can be used to disconnect
"""
cid = self.cnt
self.observers[cid] = func
self.cnt += 1
return cid
def disconnect(self, cid):
'remove the observer with connection id *cid*'
try: del self.observers[cid]
except KeyError: pass
class SubplotTool(Widget):
"""
A tool to adjust to subplot params of a :class:`matplotlib.figure.Figure`
"""
def __init__(self, targetfig, toolfig):
"""
*targetfig*
The figure instance to adjust
*toolfig*
The figure instance to embed the subplot tool into. If
None, a default figure will be created. If you are using
this from the GUI
"""
# FIXME: The docstring seems to just abruptly end without...
self.targetfig = targetfig
toolfig.subplots_adjust(left=0.2, right=0.9)
class toolbarfmt:
def __init__(self, slider):
self.slider = slider
def __call__(self, x, y):
fmt = '%s=%s'%(self.slider.label.get_text(), self.slider.valfmt)
return fmt%x
self.axleft = toolfig.add_subplot(711)
self.axleft.set_title('Click on slider to adjust subplot param')
self.axleft.set_navigate(False)
self.sliderleft = Slider(self.axleft, 'left', 0, 1, targetfig.subplotpars.left, closedmax=False)
self.sliderleft.on_changed(self.funcleft)
self.axbottom = toolfig.add_subplot(712)
self.axbottom.set_navigate(False)
self.sliderbottom = Slider(self.axbottom, 'bottom', 0, 1, targetfig.subplotpars.bottom, closedmax=False)
self.sliderbottom.on_changed(self.funcbottom)
self.axright = toolfig.add_subplot(713)
self.axright.set_navigate(False)
self.sliderright = Slider(self.axright, 'right', 0, 1, targetfig.subplotpars.right, closedmin=False)
self.sliderright.on_changed(self.funcright)
self.axtop = toolfig.add_subplot(714)
self.axtop.set_navigate(False)
self.slidertop = Slider(self.axtop, 'top', 0, 1, targetfig.subplotpars.top, closedmin=False)
self.slidertop.on_changed(self.functop)
self.axwspace = toolfig.add_subplot(715)
self.axwspace.set_navigate(False)
self.sliderwspace = Slider(self.axwspace, 'wspace', 0, 1, targetfig.subplotpars.wspace, closedmax=False)
self.sliderwspace.on_changed(self.funcwspace)
self.axhspace = toolfig.add_subplot(716)
self.axhspace.set_navigate(False)
self.sliderhspace = Slider(self.axhspace, 'hspace', 0, 1, targetfig.subplotpars.hspace, closedmax=False)
self.sliderhspace.on_changed(self.funchspace)
# constraints
self.sliderleft.slidermax = self.sliderright
self.sliderright.slidermin = self.sliderleft
self.sliderbottom.slidermax = self.slidertop
self.slidertop.slidermin = self.sliderbottom
bax = toolfig.add_axes([0.8, 0.05, 0.15, 0.075])
self.buttonreset = Button(bax, 'Reset')
sliders = (self.sliderleft, self.sliderbottom, self.sliderright,
self.slidertop, self.sliderwspace, self.sliderhspace, )
def func(event):
thisdrawon = self.drawon
self.drawon = False
# store the drawon state of each slider
bs = []
for slider in sliders:
bs.append(slider.drawon)
slider.drawon = False
# reset the slider to the initial position
for slider in sliders:
slider.reset()
# reset drawon
for slider, b in zip(sliders, bs):
slider.drawon = b
# draw the canvas
self.drawon = thisdrawon
if self.drawon:
toolfig.canvas.draw()
self.targetfig.canvas.draw()
# during reset there can be a temporary invalid state
# depending on the order of the reset so we turn off
# validation for the resetting
validate = toolfig.subplotpars.validate
toolfig.subplotpars.validate = False
self.buttonreset.on_clicked(func)
toolfig.subplotpars.validate = validate
def funcleft(self, val):
self.targetfig.subplots_adjust(left=val)
if self.drawon: self.targetfig.canvas.draw()
def funcright(self, val):
self.targetfig.subplots_adjust(right=val)
if self.drawon: self.targetfig.canvas.draw()
def funcbottom(self, val):
self.targetfig.subplots_adjust(bottom=val)
if self.drawon: self.targetfig.canvas.draw()
def functop(self, val):
self.targetfig.subplots_adjust(top=val)
if self.drawon: self.targetfig.canvas.draw()
def funcwspace(self, val):
self.targetfig.subplots_adjust(wspace=val)
if self.drawon: self.targetfig.canvas.draw()
def funchspace(self, val):
self.targetfig.subplots_adjust(hspace=val)
if self.drawon: self.targetfig.canvas.draw()
class Cursor(AxesWidget):
"""
A horizontal and vertical line span the axes that and move with
the pointer. You can turn off the hline or vline spectively with
the attributes
*horizOn*
Controls the visibility of the horizontal line
*vertOn*
Controls the visibility of the horizontal line
and the visibility of the cursor itself with the *visible* attribute
"""
def __init__(self, ax, useblit=False, **lineprops):
"""
Add a cursor to *ax*. If ``useblit=True``, use the backend-
dependent blitting features for faster updates (GTKAgg
only for now). *lineprops* is a dictionary of line properties.
.. plot :: mpl_examples/widgets/cursor.py
"""
# TODO: Is the GTKAgg limitation still true?
AxesWidget.__init__(self, ax)
self.connect_event('motion_notify_event', self.onmove)
self.connect_event('draw_event', self.clear)
self.visible = True
self.horizOn = True
self.vertOn = True
self.useblit = useblit
if useblit:
lineprops['animated'] = True
self.lineh = ax.axhline(ax.get_ybound()[0], visible=False, **lineprops)
self.linev = ax.axvline(ax.get_xbound()[0], visible=False, **lineprops)
self.background = None
self.needclear = False
def clear(self, event):
'clear the cursor'
if self.ignore(event):
return
if self.useblit:
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
self.linev.set_visible(False)
self.lineh.set_visible(False)
def onmove(self, event):
'on mouse motion draw the cursor if visible'
if self.ignore(event):
return
if event.inaxes != self.ax:
self.linev.set_visible(False)
self.lineh.set_visible(False)
if self.needclear:
self.canvas.draw()
self.needclear = False
return
self.needclear = True
if not self.visible: return
self.linev.set_xdata((event.xdata, event.xdata))
self.lineh.set_ydata((event.ydata, event.ydata))
self.linev.set_visible(self.visible and self.vertOn)
self.lineh.set_visible(self.visible and self.horizOn)
self._update()
def _update(self):
if self.useblit:
if self.background is not None:
self.canvas.restore_region(self.background)
self.ax.draw_artist(self.linev)
self.ax.draw_artist(self.lineh)
self.canvas.blit(self.ax.bbox)
else:
self.canvas.draw_idle()
return False
class MultiCursor(Widget):
"""
Provide a vertical line cursor shared between multiple axes
Example usage::
from matplotlib.widgets import MultiCursor
from pylab import figure, show, np
t = np.arange(0.0, 2.0, 0.01)
s1 = np.sin(2*np.pi*t)
s2 = np.sin(4*np.pi*t)
fig = figure()
ax1 = fig.add_subplot(211)
ax1.plot(t, s1)
ax2 = fig.add_subplot(212, sharex=ax1)
ax2.plot(t, s2)
multi = MultiCursor(fig.canvas, (ax1, ax2), color='r', lw=1)
show()
"""
def __init__(self, canvas, axes, useblit=True, **lineprops):
self.canvas = canvas
self.axes = axes
xmin, xmax = axes[-1].get_xlim()
xmid = 0.5*(xmin+xmax)
if useblit:
lineprops['animated'] = True
self.lines = [ax.axvline(xmid, visible=False, **lineprops) for ax in axes]
self.visible = True
self.useblit = useblit
self.background = None
self.needclear = False
self.canvas.mpl_connect('motion_notify_event', self.onmove)
self.canvas.mpl_connect('draw_event', self.clear)
def clear(self, event):
'clear the cursor'
if self.useblit:
self.background = self.canvas.copy_from_bbox(self.canvas.figure.bbox)
for line in self.lines: line.set_visible(False)
def onmove(self, event):
if event.inaxes is None: return
if not self.canvas.widgetlock.available(self): return
self.needclear = True
if not self.visible: return
for line in self.lines:
line.set_xdata((event.xdata, event.xdata))
line.set_visible(self.visible)
self._update()
def _update(self):
if self.useblit:
if self.background is not None:
self.canvas.restore_region(self.background)
for ax, line in zip(self.axes, self.lines):
ax.draw_artist(line)
self.canvas.blit(self.canvas.figure.bbox)
else:
self.canvas.draw_idle()
class SpanSelector(AxesWidget):
"""
Select a min/max range of the x or y axes for a matplotlib Axes
Example usage::
ax = subplot(111)
ax.plot(x,y)
def onselect(vmin, vmax):
print vmin, vmax
span = SpanSelector(ax, onselect, 'horizontal')
*onmove_callback* is an optional callback that is called on mouse
move within the span range
"""
def __init__(self, ax, onselect, direction, minspan=None, useblit=False,
rectprops=None, onmove_callback=None):
"""
Create a span selector in *ax*. When a selection is made, clear
the span and call *onselect* with::
onselect(vmin, vmax)
and clear the span.
*direction* must be 'horizontal' or 'vertical'
If *minspan* is not *None*, ignore events smaller than *minspan*
The span rectangle is drawn with *rectprops*; default::
rectprops = dict(facecolor='red', alpha=0.5)
Set the visible attribute to *False* if you want to turn off
the functionality of the span selector
"""
AxesWidget.__init__(self, ax)
if rectprops is None:
rectprops = dict(facecolor='red', alpha=0.5)
assert direction in ['horizontal', 'vertical'], 'Must choose horizontal or vertical for direction'
self.direction = direction
self.visible = True
self.rect = None
self.background = None
self.pressv = None
self.rectprops = rectprops
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