import matplotlib.pyplot as plt

ax = []   # 定義一個 x 軸的空列表用來接收動態(tài)的數(shù)據(jù)
ay = []   # 定義一個 y 軸的空列表用來接收動態(tài)的數(shù)據(jù)
plt.ion()   # 開啟一個畫圖的窗口
for i in range(100): # 遍歷0-99的值
 ax.append(i)  # 添加 i 到 x 軸的數(shù)據(jù)中
 ay.append(i**2) # 添加 i 的平方到 y 軸的數(shù)據(jù)中
 plt.clf()  # 清除之前畫的圖
 plt.plot(ax,ay) # 畫出當(dāng)前 ax 列表和 ay 列表中的值的圖形
 plt.pause(0.1)  # 暫停一秒
 plt.ioff()  # 關(guān)閉畫圖的窗口

def animate(fi):
 bars=[]
 if len(frames)>fi:
  # axs.text(0.1,0.90,time_template%(time.time()-start_time),transform=axs.transAxes)#所以這樣
  time_text.set_text(time_template%(0.1*fi))#這個必須沒有axs.cla()才行
  # axs.cla()
  axs.set_title('bubble_sort_visualization')
  axs.set_xticks([])
  axs.set_yticks([])
  bars=axs.bar(list(range(Data.data_count)),#個數(shù)
    [d.value for d in frames[fi]],#數(shù)據(jù)
    1,    #寬度
    color=[d.color for d in frames[fi]]#顏色
    ).get_children()
 return bars
 anim=animation.FuncAnimation(fig,animate,frames=len(frames), interval=frame_interval,repeat=False)

'''
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'''
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import animation
 
 
fig=plt.figure(1,figsize=(4,3))
ax=fig.add_subplot(111)
ax.set_title('bar_animate_test')
#ax.set_xticks([])注釋了這個是能看到變化，要不看不到變化，不對，能看到變化，去了注釋吧
#ax.set_yticks([])
ax.set_xlabel('xlable')
N=5
frames=50
x=np.arange(1,N+1)
 
collection=[]
collection.append([i for i in x])
for i in range(frames):
 collection.append([ci+1 for ci in collection[i]])
print(collection)
xstd=[0,1,2,3,4]
bars=ax.bar(x,collection[0],0.30)
def animate(fi):
 # collection=[i+1 for i in x]
　　 ax.set_ylim(0,max(collection[fi])+3)#對于問題3，添加了這個
 for rect ,yi in zip(bars,collection[fi]):
 rect.set_height(yi)
 # bars.set_height(collection)
 return bars
anim=animation.FuncAnimation(fig,animate,frames=frames,interval=10,repeat=False)
plt.show()

x=np.arange(1,N+1)<br>collection=[i for i in x]
#collection=[i for i in list(x)]#錯誤的認為是dtype的原因，將這里改成了list（x)
for i in range(frames):
 collection.append([ci+1 for ci in collection[i]])#問題的原因是因為此時的collection還是一個一位數(shù)組，所以這個collection[i]是一個x里的一個數(shù)，并不是一個列表，我竟然還以為的dtype的原因，又改了
xstd=[0,1,2,3,4]

'''
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'''
collection=[]
collection.append([i for i in x])#成為二維數(shù)組
for i in range(frames):
 collection.append([ci+1 for ci in collection[i]])

Traceback (most recent call last):
 File "forTest.py", line 22, in <module>
 bars=ax.bar(x,collection,0.30)
 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 2430, in bar
 label='_nolegend_',
 File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\patches.py", line 707, in __init__
 Patch.__init__(self, **kwargs)
 File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\patches.py", line 89, in __init__
 self.set_linewidth(linewidth)
 File "C:\Users\Administrator.SC-201605202132\Envs\sort\lib\site-packages\matplotlib\patches.py", line 368, in set_linewidth
 self._linewidth = float(w)
TypeError: only size-1 arrays can be converted to Python scalars

'''
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尋找有志同道合的小伙伴，互幫互助,群里還有不錯的視頻學(xué)習(xí)教程和PDF電子書！
'''
def animate(fi):
 # collection=[i+1 for i in x]
 ax.set_ylim(0,max(collection[fi])+3)#添加了這個
 for rect ,yi in zip(bars,collection[fi]):
 rect.set_height(yi)
 
 # bars.set_height(collection)
 return bars