通过文本框交互式 matplotlib 图

Question

我正在尝试创建一个多维函数的交互式 matplotlib 图，其中三个参数不同。问题是参数可以在很大范围内变化，所以我宁愿不使用滑块而是直接键入我想要的值。基本上，我想重新创建下面的规范示例，我想要文本框而不是滑块，我可以在其中输入参数

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider, Button, RadioButtons

fig, ax = plt.subplots()
plt.subplots_adjust(bottom=0.35)
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])
ax.plot(t,t)

axcolor = 'lightgoldenrodyellow'
axamp  = plt.axes([0.25, 0.25, 0.65, 0.03], axisbg=axcolor)
axfreq = plt.axes([0.25, 0.2, 0.65, 0.03], 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)


plt.show()

Answer 1

您可以在图中添加一个 GUI 面板 window。这里是一个使用Qt4Agg后端的例子，在主图window上添加一个QDockWidget，然后就可以在dock上添加QWidgets window.

import numpy as np
import matplotlib
matplotlib.use("Qt4Agg") # This program works with Qt only
import pylab as pl
fig, ax1 = pl.subplots()

t = np.linspace(0, 10, 200)

line, = ax1.plot(t, np.sin(t))

### control panel ###
from PyQt4 import QtGui
from PyQt4 import QtCore
from PyQt4.QtCore import Qt

def update():
    freq = float(textbox.text())
    y = np.sin(2*np.pi*freq*t)
    line.set_data(t, y)
    fig.canvas.draw_idle()

root = fig.canvas.manager.window
panel = QtGui.QWidget()
hbox = QtGui.QHBoxLayout(panel)
textbox = QtGui.QLineEdit(parent = panel)
textbox.textChanged.connect(update)
hbox.addWidget(textbox)
panel.setLayout(hbox)

dock = QtGui.QDockWidget("control", root)
root.addDockWidget(Qt.BottomDockWidgetArea, dock)
dock.setWidget(panel)
######################

pl.show()

这是屏幕：

通过文本框交互式 matplotlib 图

Interactive matplotlib plots via textboxes

python

interactive

matplotlib