CODEWITHSUNDEEP
pythonmatplotlibinteractive
pythonnoob
pythonnoob

Reputation: 43

Interactive matplotlib plots via textboxes

I'm trying to create an interactive matplotlib plot of a multidimensional function with three parameters to vary. The problem is that the parameters can vary over a very large range, so I'd rather not use sliders but directly type the value I'd like. Basically, I'd like to recreate the canonical example below where instead of sliders I'd like text boxes in which I can input parameters

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()

Upvotes: 4

Views: 4446

Answers (1)

HYRY
HYRY

Reputation: 97281

You can add a GUI panel to the figure window. Here is an example to use the Qt4Agg backend, and add a QDockWidget to the main figure window, and then you can add QWidgets to the dock 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()

Here is the screen:

enter image description here

Upvotes: 4

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