Question

我遇到了matplotlib动画的一个奇怪问题。我正在尝试使用以下代码创建动画条形图：

import os, time
from PIL import Image, ImageSequence
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.path as path
import matplotlib.animation as animation

import blackxample

FILE_PREFIX = "cell-isotohyper"
FILE_SUFFIX = ".tif"
FILE_PATH   = "./example-video"
XCUT = (91, 91+266)
YCUT = (646, 646+252)

LIMIT = 100
OFFSET = 0

Y_SCALE = 3000
NUM_OF_BINS = 37

BAR_WIDTH = 1.0
BAR_COLOR = 'b'
RANGE = range(0, NUM_OF_BINS//2+1)

def animate(i, fig, ax, bars):
    # = np.random.randn(1000)
    print(len(i))
    for a in RANGE:
        bars[a].set_height(i[a])
    return (fig, ax, bars)

def main():
    fig, ax = plt.subplots()
    ax.set_ylim(0, Y_SCALE)
    ax.set_xlim(0, NUM_OF_BINS//2+1)

    bars = ax.bar(np.arange(NUM_OF_BINS), [i for i in range(NUM_OF_BINS)], BAR_WIDTH, color=BAR_COLOR)

    ani = animation.FuncAnimation(fig, animate, xframes, fargs = (fig, ax, bars), interval=500)
    plt.show()

如果我使用随机生成的数据或使用常量数据，此代码段完全正常：

def xframes():
    i = 0
    while i < 100:
        yield [2312.7094266223335, 27.238786592368257, 75.252063484372513, 13.678304922077643, 11.879804374653929, 21.900570139020687, 2.930771773796323, 11.945594479736741, 10.88517941461987, 4.4176609254771506, 4.1075871395528338, 1.248363771876285, 1.4798157379442216, 3.5285036346353564, 3.2583080973651732, 3.4640042567344267, 3.130503535456981, 0.67334205875304676, 0.71393606581800562]
        #yield np.histogram(np.random.randn(1000), NUM_OF_BINS//2 + 1)[0]
        i+=1

使用该函数，aframes只会产生第一个项目，如果它一起使用animation.FuncAnimation（）。但是，如果手动迭代aframe，生成器完全正常。

def aframes():
    list_of_files = []
    for dirname, dirnames, filenames in os.walk(FILE_PATH):
        for filename in filenames:
            if filename.startswith(FILE_PREFIX) and filename.endswith(FILE_SUFFIX):
                list_of_files.append(os.path.join(FILE_PATH, filename))

    # Open every picture - in every file
    count = 0
    imagecount = 0
    framecount = 0
    skipped = 0
    for file in list_of_files:
        framecount = 0
        a = Image.open(file)
        for frame in ImageSequence.Iterator(a):
            if count > OFFSET and count <= OFFSET+LIMIT:
                # Cut image beforehand - probably faster
                frame = frame.crop((XCUT[0], YCUT[0], XCUT[1], YCUT[1]))
                # Load image intro Matrix
                imageMatrix = blackxample.Matrix.fromPillow(frame)
                try:
                    imageMatrix.findContour()
                    imageMatrix.calculateCentroid()
                    imageMatrix.transform(NUM_OF_BINS)
                    #yield imageMatrix.getTransform()
                    yield [2312.7094266223335, 27.238786592368257, 75.252063484372513, 13.678304922077643, 11.879804374653929, 21.900570139020687, 2.930771773796323, 11.945594479736741, 10.88517941461987, 4.4176609254771506, 4.1075871395528338, 1.248363771876285, 1.4798157379442216, 3.5285036346353564, 3.2583080973651732, 3.4640042567344267, 3.130503535456981, 0.67334205875304676, 0.71393606581800562]
                except blackxample.NoConvergenceError:
                    skipped+=1
            print("[", count ,"] done")

            framecount+=1
            count+=1
        imagecount+=1

# Test for frame iterator - works fine
#for i in _frames():
#    print(i)

有人知道发生了什么，为什么会发生？我该如何解决？

如果try-block中的三个imageMatrix行被注释掉，这表明imageMatrix.findContour（）内部存在错误，则生成器也会按预期运行。但我在寻找什么？ findContour没有做任何奇怪的事情

Answer 1

由于我还没有找到关于这个问题的任何解决方案，我已经决定将aframes（）的结果保存在一个文件中，然后单独阅读和动画，无需调整动画代码即可完美无缺地工作。

Matplotlib animation.FuncAnimation：自定义帧生成器只产生一次

1 个答案: