我想用matplotlib创建一个垂直滑块小部件而不是水平滑块。
我在matplotlib网页http://matplotlib.org/examples/widgets/slider_demo.html中找到了一个很好的例子，但我不知道如何在Y轴上移动滑块并更改滑块标签。我可以改变轴的位置，但不能改变滑块的移动。这个例子在这里：
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons
fig, ax = plt.subplots()
plt.subplots_adjust(left=0.25, bottom=0.25)
t = np.arange(0.0, 1.0, 0.001)
a0 = 5
f0 = 3
s = a0*np.sin(2*np.pi*f0*t)
l, = plt.plot(t,s, lw=2, color='red')
plt.axis([0, 1, -10, 10])
axcolor = 'lightgoldenrodyellow'
axfreq = plt.axes([0.03, 0.25, 0.03, 0.65], axisbg=axcolor)
axamp = plt.axes([0.08, 0.25, 0.03, 0.65], axisbg=axcolor)
sfreq = Slider(axfreq, 'Freq', 0.1, 30.0, valinit=f0)
samp = Slider(axamp, 'Amp', 0.1, 10.0, valinit=a0)
def update(val):
amp = samp.val
freq = sfreq.val
l.set_ydata(amp*np.sin(2*np.pi*freq*t))
fig.canvas.draw_idle()
sfreq.on_changed(update)
samp.on_changed(update)
resetax = plt.axes([0.8, 0.025, 0.1, 0.04])
button = Button(resetax, 'Reset', color=axcolor, hovercolor='0.975')
def reset(event):
sfreq.reset()
samp.reset()
button.on_clicked(reset)
rax = plt.axes([0.5, 0.025, 0.15, 0.15], axisbg=axcolor)
radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0)
def colorfunc(label):
l.set_color(label)
fig.canvas.draw_idle()
radio.on_clicked(colorfunc)
plt.show()
答案 0 :(得分：12)
这不是开箱即用的，因为matplotlib.widgets.Slider实现使用axvspan和axvline来定义滑块（这是patches.Polygon），并更新它根据水平假设。使用水平滑块作为示例编写自己的垂直滑块并不太困难（您同样可以从AxesWidget继承），但必须自己完成。
从matplotlib 2.0开始有效：下面给出了一个垂直滑块类;它的工作原理就像水平一样，除了......好吧......垂直！
from matplotlib.widgets import AxesWidget
import six
class VertSlider(AxesWidget):
"""
A slider representing a floating point range.
For the slider to remain responsive you must maintain a
reference to it.
The following attributes are defined
*ax* : the slider :class:`matplotlib.axes.Axes` instance
*val* : the current slider value
*hline* : 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*.
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*, ...).
Parameters
----------
ax : Axes
The Axes to put the slider in
label : str
Slider label
valmin : float
The minimum value of the slider
valmax : float
The maximum value of the slider
valinit : float
The slider initial position
label : str
The slider label
valfmt : str
Used to format the slider value, fprint format string
closedmin : bool
Indicate whether the slider interval is closed on the bottom
closedmax : bool
Indicate whether the slider interval is closed on the top
slidermin : Slider or None
Do not allow the current slider to have a value less than
`slidermin`
slidermax : Slider or None
Do not allow the current slider to have a value greater than
`slidermax`
dragging : bool
if the slider can be dragged by the mouse
"""
AxesWidget.__init__(self, ax)
self.valmin = valmin
self.valmax = valmax
self.val = valinit
self.valinit = valinit
self.poly = ax.axhspan(valmin, valinit, 0, 1, **kwargs)
self.hline = ax.axhline(valinit, 0, 1, color='r', lw=1)
self.valfmt = valfmt
ax.set_xticks([])
ax.set_ylim((valmin, valmax))
ax.set_yticks([])
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(0.5, 1.03, label, transform=ax.transAxes,
verticalalignment='center',
horizontalalignment='center')
self.valtext = ax.text(0.5, -0.03, valfmt % valinit,
transform=ax.transAxes,
verticalalignment='center',
horizontalalignment='center')
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.ydata
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 and val <= self.slidermin.val:
if not self.closedmin:
return
val = self.slidermin.val
if self.slidermax is not None and val >= self.slidermax.val:
if not self.closedmax:
return
val = self.slidermax.val
self.set_val(val)
def set_val(self, val):
xy = self.poly.xy
xy[1] = 0, val
xy[2] = 1, val
self.poly.xy = xy
self.valtext.set_text(self.valfmt % val)
if self.drawon:
self.ax.figure.canvas.draw_idle()
self.val = val
if not self.eventson:
return
for cid, func in six.iteritems(self.observers):
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)
答案 1 :(得分：3)
我知道这篇文章已有5年历史了，但是在尝试实现自己的垂直滑块后，我发现从matplotlib 3.1开始，此功能是本机存在的。
我有matplotlib 3.1.2，其中一个参数是
orientation：str，“水平”或“垂直”，默认值：“水平” 滑块的方向。