Matplotlib のプロットと可視化 いくつかのプロパティとエラー

def update_insert(i):
    global ax,X
    plt.cla()# the method to be called with the object of the drawing area, right?
    # plt.close()# here again can be closed
    # plt.clf()# clear the contents of the figure
    X=np.random.randint(0,100,10)
    ax.scatter(X,X)
    plt.xticks([]),plt.yticks([])
    return ax,X

plt.subplots_adjust(left=0.2, bottom=0.2, right=0.8, top=0.8, hspace=0.2, wspace=0.3)

 #Introduce the corresponding library functions
import matplotlib.pyplot as plt
from numpy import *

#plot
fig = plt.figure()
ax = fig.add_subplot(349)
ax.plot(x,y)
plt.show()

import matplotlib.pyplot as plt
from numpy import *

fig = plt.figure()
ax = fig.add_subplot(2,1,1)
ax.plot(x,y)
ax = fig.add_subplot(2,2,3)
ax.plot(x,y)
plt.show()

axs=fig.add_subplot(111)
axs.set_xlim(0,7)
axs.set_ylim(0,5)
text= axs.text(0.02,0.90,'test',transform=axs.transAxes)
text.set_backgroundcolor('r')
text.set_position((0.9,.9))# cannot exceed 1, same as above

xticks=[d.__name__ for d in algorithm_list]
print(xticks)
axs.set_xticks(xticks)# can't because it's an array of strings, it should be numbers



#xticks



['bubble_sort', 'bidirectional_bubble_sort']

#wrong
spend_time=[1,2]
axs.set_yticks([spend_time])
#True
 axs.set_yticks(spend_time)

for i in range(algorithm_num):
        frames_names[algorithm_list[i]. __name__]=[]
        # set the canvas by the way
        axs.append(fig.add_subplot(121+i))
        # axs[-1].set_xticks=([])# this has already been done here, comment this out
        # axs[-1].set_yticks=([])
        # by the way run the function now
        frames_names[algorithm_list[i]. __name__]=algorithm_list[i](copy.deepcopy(original_data_object))
    plt.subplots_adjust(left=0.05,right=0.95,bottom=0.1,top=0.90,wspace=0.1,hspace=0.2)

    #Find the maximum frame, forget it, let's store all the frames in a dict, but the dict doesn't seem to add to it
    frame_count={}
    for i in range(algorithm_num):
        frame_count['{}'.format(algorithm_list[i])]=str(len(frames_names[algorithm_list[i]. __name__]))
    def animate(fi):
        bars=[]
        for i in range(algorithm_num):
            if len(frames_names[algorithm_list[i]. __name__])>fi:
                axs[i].cla()
                
                axs[i].set_xticks([])
                axs[i].set_yticks([])
                axs[i].set_title(str(algorithm_list[i]. __name__))
                bars+=axs[i].bar(list(range(Data.data_count)),
                             [d.value for d in frames_names[algorithm_list[i]. __name__][fi]],
                             1,
                             color=[d.color for d in frames_names[algorithm_list[i]. __name__][fi]],
                             ).get_children()
        return bars

animation=animation.FuncAnimation(plt.fig,update_insert,init_func=None,repeat=False,frames=np.range(0,6 ),interval=2000,fargs=( collection))

def update_insert(i,*collection):
    global ax,X
    print(collection) 
    ---snip--

        ax.scatter(X1,X1,c=b)
        ax.scatter(X2,X2,c=b,s=50)
        ax.scatter(X1,X1,c=g)

　　はエラーを報告します。

(sort) λ python matplotlib_learn.py
[1, 2, 3, 4, 5]
Traceback (most recent call last):
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\cbook__init__.py", line 216, in process
    func(*args, **kwargs)
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\animation.py", line 953, in _start
    self._init_draw()
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\animation.py", line 1732, in _init_draw
    self._draw_frame(next(self.new_frame_seq())))
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\animation.py", line 1755, in _draw_frame
    self._drawn_artists = self._func(framedata, *self._args)
  File "matplotlib_learn.py", line 184, in update_insert
    ax.scatter(X2,X2,c=b,s=50)
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\__init__.py", line 1589, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\axes\_axes.py", line 4446, in scatter
    get_next_color_func=self._get_patches_for_fill.get_next_color)
  File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\axes\_axes.py", line 4257, in _parse_ scatter_color_args
    n_elem = c_array.shape[0]
IndexError: tuple index out of range

　　*)ValueError: shape mismatch: object cannot be broadcast to a single shapeError.

　　渡された2つのパラメータが一対一に対応していないことが原因かもしれません。あるパラメータのデータを別のパラメータのデータで使用すると長さの関係で使用できないのと同じです。例えば、グラフを描画する場合

bars+=ax.bar(list(range(0,Data.data_count)),# I made a mistake when creating the data, here it's 16 and below it's 17
                        [d.value for d in frames[fi]],
                        1,
                        color=[d.color for d in frames[fi]]
                        ).get_children()

　　*) クラス内の変数名エラーのようなエラーは、ああ、ああ、どこか間違って書かれているようだ、と催促しない

def set_color(self,ragb=None):# wrong here too



if not ragb:# This is also wrong
            rgba=(0,#but this one is so unprompted
                1-self.value/(self.data_count*2),
                self.value/(self.data_count*2)+0.5,
                1)
        self.color=ragb
---snip--
d=Data(2)
   print(d.color)

#output
(sort) λ python Visualization_bubble_sort.py
None