示例#1
0
# If using matplotlib, we must create the canvas area of the Window before
# creating the actual Sliders.
if use_mpl:
    # Create root Tk widget and set the title
    root = tk.Tk()
    root.title(prog_title)

    # Create and pack the renderable area of the widget, using the figure class
    plot_widget = FigureCanvasTkAgg(fig, master=root)
    plot_widget.show()
    plot_widget.get_tk_widget().pack(side=tk.TOP, fill=tk.BOTH, expand=True)
    plot_widget._tkcanvas.pack(side=tk.TOP, fill=tk.BOTH, expand=True)

# Create the sliders for the length and reflectivity parameters.
length = Slider(axes_length, "Cavity length", 0.01, 1, valinit=L)
reflect = Slider(axes_reflect, "Reflectivity", 0.1, 1, valinit=R)

# Create a callback function for the slider controls
def update(val):
    # Replot the graph using the new values
    R = reflect.val
    L = length.val
    T = np.sqrt(1.0 - R ** 2)
    D = T ** 4 + 4 * R ** 2 * np.sin(2 * np.pi * (w + w_hene) / c * L) ** 2
    I = T ** 4 / D
    plt.set_ydata(F * I * 1e6)

    # Render the result on the canvas
    fig.canvas.draw()
示例#2
0
rugRect=[0.15, 0.20, 0.7, 0.05]
#controlRect=[0.05, 0.20, 0.15, 0.25]
locRect=[0.15, 0.1, 0.65, 0.03]
zoomRect=[0.15, 0.05, 0.65, 0.03]

fig=plt.figure(facecolor='white')
axescolor="#f6f6f6"
#controlPanel=fig.add_axes(controlRect)
#controlFields=[]
#radio=RadioButtons(controlPanel, hist.fieldnames, active=0)
axloc  = axes(locRect, axisbg=axescolor)
axzoom = axes(zoomRect, axisbg=axescolor)
initLoc=int(location)
#initLoc=(hist.max-hist.min)/2+hist.min
initWidth=500
sLoc = Slider(axloc, 'Location', hist.min, hist.max , valinit=initLoc)
sZoom = Slider(axzoom, 'Width', 1, 1000, valinit=initWidth)

#set up the axes
ax1=fig.add_axes(histRect, axisbg=axescolor)
ax1.grid(True)
plt.title("Frequency of %s" %column)
plt.ylabel('Frequency')
ax1.axes.get_xaxis().set_visible(False)
ax2=fig.add_axes(rugRect, axisbg=axescolor, sharex=ax1)
zeros=[0]*hist.length()
ax2.axes.get_yaxis().set_visible(False)
plt.xlabel(column)

#draw the initial histograms
ax1.hist(hist.data, facecolor='green', alpha=0.75, align='mid', range=(hist.min, hist.max), rwidth=1)