animation_examples.py

# Example animations using matplotlib's FuncAnimation
# Ken Hughes. 18 June 2016.

# For more detail, see
# https://brushingupscience.wordpress.com/2016/06/21/matplotlib-animations-the-easy-way/

# Examples include
#    - line plot
#    - pcolor plot
#    - scatter plot
#    - contour plot
#    - quiver plot
#    - plot with changing labels

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

# Use matplotlib ggplot stylesheet if available
try:
    plt.style.use('ggplot')
except:
    pass

# Set which type of animation will be plotted. One of:
# line, pcolor, scatter, contour, quiver, labels
animation_type = 'line'

# ----------------------------------------------------------------------------
# Create data to plot. F is 2D array. G is 3D array

# Create a two-dimensional array of data: F(x, t)
x = np.linspace(-3, 3, 91)
t = np.linspace(0, 25, 30)
X2, T2 = np.meshgrid(x, t)
sinT2 = np.sin(2*np.pi*T2/T2.max())
F = 0.9*sinT2*np.sinc(X2*(1 + sinT2))

# Create three-dimensional array of data G(x, z, t)
x = np.linspace(-3, 3, 91)
t = np.linspace(0, 25, 30)
y = np.linspace(-3, 3, 91)
X3, Y3, T3 = np.meshgrid(x, y, t)
sinT3 = np.sin(2*np.pi*T3 /
               T3.max(axis=2)[..., np.newaxis])
G = (X3**2 + Y3**2)*sinT3

# ----------------------------------------------------------------------------
# Set up the figure and axis
fig, ax = plt.subplots(figsize=(4, 3))

if animation_type not in ['line', 'scatter']:
    ax.set_aspect('equal')


# ----------------------------------------------------------------------------
if animation_type == 'line':
    ax.set(xlim=(-3, 3), ylim=(-1, 1))

    line = ax.plot(x, F[0, :], color='k', lw=2)[0]

    def animate(i):
        line.set_ydata(F[i, :])

# ----------------------------------------------------------------------------
if animation_type == 'pcolor':
    cax = ax.pcolormesh(x, y, G[:-1, :-1, 0], vmin=-1, vmax=1, cmap='Blues')
    fig.colorbar(cax)

    def animate(i):
        cax.set_array(G[:-1, :-1, i].flatten())

# ----------------------------------------------------------------------------
if animation_type == 'scatter':
    ax.set(xlim=(-3, 3), ylim=(-1, 1))
    scat = ax.scatter(x[::3], F[0, ::3])

    def animate(i):
        # Must pass scat.set_offsets an N x 2 array
        y_i = F[i, ::3]
        scat.set_offsets(np.c_[x[::3], y_i])

# ----------------------------------------------------------------------------
if animation_type == 'contour':
    # Keyword options used in every call to contour
    contour_opts = {'levels': np.linspace(-9, 9, 10), 'cmap':'RdBu', 'lw': 2}
    cax = ax.contour(x, y, G[..., 0], **contour_opts)

    def animate(i):
        ax.collections = []
        ax.contour(x, y, G[..., i], **contour_opts)

# ----------------------------------------------------------------------------
if animation_type == 'quiver':
    ax.set(xlim=(-4, 4), ylim=(-4, 4))

    # Plot every 20th arrow
    step = 15
    x_q, y_q = x[::step], y[::step]

    # Create U and V vectors to plot
    U = G[::step, ::step, :-1].copy()
    V = np.roll(U, shift=4, axis=2)

    qax = ax.quiver(x_q, y_q, U[..., 0], V[..., 0], scale=100)

    def animate(i):
        qax.set_UVC(U[..., i], V[..., i])

# ----------------------------------------------------------------------------
if animation_type == 'labels':
    ax.set(xlim=(-1, 1), ylim=(-1, 1))
    string_to_type = 'abcdefghijklmnopqrstuvwxyz0123'
    label = ax.text(0, 0, string_to_type[0],
                    ha='center', va='center',
                    fontsize=12)

    def animate(i):
        label.set_text(string_to_type[:i+1])
        ax.set_ylabel('Time (s): ' + str(i/10))
        ax.set_title('Frame ' + str(i))

# ----------------------------------------------------------------------------
# Save the animation
anim = FuncAnimation(fig, animate, interval=100, frames=len(t)-1, repeat=True)
fig.show()
# anim.save(animation_type + '.gif', writer='imagemagick')

@engsk As the error message states, you're trying to show something that can't be shown given your choice of backend. Your choice of the inline backend is something for generating static images like a PNG file. You need to use something else like Agg, Qt5Agg, or notebook. It'll depend on your set up.

Also, put the matplotlib.use statement at the top.

Actually I'm trying to live-plot data captured with an ADC. Tried your code in order to learn about live plotting of real-time data. All I get is a blank window opening with a Windows-message "figure 1 - no feedback" and subsequent manual kernel reset. I'm using python 3.8.10 and matplotlib 3.7.1. The code is run under Spyder IDE 5.4.3. Any idea about the possible issue?

@AxRuPyth It sounds like your issue isn't necessarily an animation issue. It sounds more like either a hardware issue or a graphics backend issue. Good luck

Thanks! I shall explore those directions.

…

On Wed 11. Dec 2024 at 03:24, Ken Hughes ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ @AxRuPyth <https://github.com/AxRuPyth> It sounds like your issue isn't necessarily an animation issue. It sounds more like either a hardware issue or a graphics backend issue. Good luck — Reply to this email directly, view it on GitHub <https://gist.github.com/hugke729/ac3cf36500f2f0574a6f4ffe40986b4f#gistcomment-5331043> or unsubscribe <https://github.com/notifications/unsubscribe-auth/BNTHXGCVAY23IB6TMNCYRHT2E6O5FBFKMF2HI4TJMJ2XIZLTSKBKK5TBNR2WLJDUOJ2WLJDOMFWWLO3UNBZGKYLEL5YGC4TUNFRWS4DBNZ2F6YLDORUXM2LUPGBKK5TBNR2WLJDHNFZXJJDOMFWWLK3UNBZGKYLEL52HS4DFVRZXKYTKMVRXIX3UPFYGLK2HNFZXIQ3PNVWWK3TUUZ2G64DJMNZZDAVEOR4XAZNEM5UXG5FFOZQWY5LFVAZTMOJSGY4DOM5HORZGSZ3HMVZKMY3SMVQXIZI> . You are receiving this email because you were mentioned. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub> .