Question

下面我有一些自包含的示例 matplotlib 动画代码。它运行良好，但在我运行 ani.save 时非常慢——前 100 帧需要大约 18 秒。

我的实际数据 unique_iterable_array 的列表长度约为 20,0000 个元素。我正在尝试每帧打印该列表的 1 个元素。

出于本示例的目的，我仅用随机抽取替换了实际数据，因此代码很容易运行。

unique_iterable_array = [np.random.random_sample((16,4)).round(1) for i in range(1000)]


###################
# make the plot
###################
va = np.zeros((16,4)).round(1)

#colorarray
va_color = np.zeros((16,4))
fig = plt.figure(figsize=(4,9))

def add_axes_inches(fig, rect):
    w,h = fig.get_size_inches()
    return fig.add_axes([rect[0]/w, rect[1]/h, rect[2]/w, rect[3]/h])

axwidth = 3.
cellsize = .5
axheight = 8


#make the squares
ax_va  = add_axes_inches(fig, [cellsize, cellsize, axwidth, axheight])
im_va = ax_va.imshow(va_color, vmin=0., vmax=1.3, cmap="Blues")


###This does the actual plotting
for i in range(va.shape[0]):
    for j in range(va.shape[1]):
        ax_va.text(j,i, va[i,j], va="center", ha="center")


def animate(current_np):
    fig.clear()
    ax_va = add_axes_inches(fig, [cellsize, cellsize, axwidth, axheight])
    im_va = ax_va.imshow(va_color, vmin=0., vmax=1.3, cmap="Blues")
    for i in range(va.shape[0]):
        for j in range(va.shape[1]):
            ax_va.text(j, i, current_np[i, j], va="center", ha="center")

ani = FuncAnimation(fig, animate, frames=unique_iterable_array[0:100], interval =50)

start_time = time.time()
ani.save('q_change.mp4')
end_time = time.time()

print(end_time -start_time)

python matplotlib funcAnimate 保存速度很慢

0 个答案: