为什么图片移动？

Question

注意：首先点击图片以了解图片之间的区别。

我已经阅读了stackoverflow提供的所有链接。通过python创建图像后，出现了问题。问题是我的图像.jpg中的图片（灰色框）正在移动，但位置不固定。另一个问题是我要删除的图像中有空白。

我张贴了一些我绘制的图像...

有一个灰框位置...

还有灰框的其他位置，依此类推...

具有不同位置的灰框.....

] 5] 5

我用于生成图像的主要代码如下：

import re

from os import listdir

from os.path import isfile, join

mypath = "/home/at-lab/Nutakki/All_set/excel files/episode0/"

files = [f for f in listdir(mypath) if isfile(join(mypath, f))]

pattern = re.compile(r"\d+")

files = sorted(files, key = lambda files :  int(pattern.findall(files)[0]) )



fig=plt.figure(figsize=(6,6)) ##to obtain figure and dimensions of graph



for index, i in enumerate(files):





    #ax=fig.add_subplot(111,projection='3d') ## to have a broad view of figure

    ax = fig.add_axes([0,0,1,1], projection='3d')



    #plot planes

    p = Rectangle((0,-0.7), 4.5,1.4, color="lightgrey", alpha=0.2) #plots the background frame

    ax.add_patch(p)



    art3d.pathpatch_2d_to_3d(p, z=0, zdir="z")



    j=pd.read_excel(i)  ##to read the excel file format

    X=j['x'] ## to import the variable on to axes from data set

    Y=j['y']

    Z=j['z']



    a=j['x']##import centre of mass from excel file format

    b=j['y']

    c=j['z']



    q1=j['q1'],##attaining quaternons from excel file format. (comma(,) transformed series to tuple)

    q2=j['q2'],

    q3=j['q3'],

    q4=j['q4'],



    m2,n,o,p=np.array([q1,q2,q3,q4]) ## assigning quaternions to variables had converted tuple to float

    Rot_Mat=QtoR(m2,n,o,p)



    #cuboid initialising parameters

    center = [a[0], b[0], c[0]] ##centre of the body

    length = 0.3 ##defining length, breadth, height

    width = 0.4

    height = 0.1

    side = np.zeros((8,3))  ###This numpy vector will be used to store the position of the sides



    #rotate the axes and update

    for angle in range(0, 360):

        ax.view_init(90, angle)

    from time import time

    start=time()

    end=time()

    time=end-start





    cuboid(center, (length, width, height)) #to execute the defined cuboid



    print('index = ',index)

    print('time_lapse = ',time)

    plt.savefig('packetone {0}.jpg'.format(index))


    pl.clf()

我需要在整个图像中使用灰框和黑框。

注意：应该没有空格，并且灰色框不应移动其位置。