[英]Interactive matplotlib plots via textboxes
我正在嘗試創建一個多維函數的交互式matplotlib圖,其中有三個參數可以改變。 問題是參數可以在很大的范圍內變化,所以我寧願不使用滑塊,而是直接輸入我想要的值。 基本上,我想重新創建下面的規范示例,而不是滑塊,我想要文本框,我可以在其中輸入參數
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()
您可以在圖窗口中添加GUI面板。 下面是一個使用Qt4Agg后端的示例,並將QDockWidget
添加到主圖窗口,然后您可以將QWidgets添加到停靠窗口。
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()
這是屏幕:
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.