我正在尝试绘制二维数据网格并将它们映射到颜色。然后我想更新这些值并用新值更新图表。目前该图仅显示最终结果,并未显示该图应经历的所有中间阶段。
我的代码::
import matplotlib.pyplot as pyplot
import matplotlib as mpl
import numpy as np
import time
import matplotlib.animation as animation
thing=0
NUM_COL=10
NUM_ROW=10
zvals=np.full((NUM_ROW,NUM_COL),-5.0)
def update_graph(zvals):
zvals+=1
pyplot.clf()
img = pyplot.imshow(zvals,interpolation='nearest',
cmap = cmap,norm=norm)
time.sleep(1)
pyplot.draw()
# make a color map of fixed colors
cmap = mpl.colors.ListedColormap(['blue','black','red'])
bounds=[-6,-2,2,6]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
# tell imshow about color map so that only set colors are used
img = pyplot.imshow(zvals,interpolation='nearest',
cmap = cmap,norm=norm)
# make a color bar
pyplot.colorbar(img,cmap=cmap,norm=norm,boundaries=bounds,ticks=[-5,0,5])
pyplot.draw()
for i in range(5):
update_graph(zvals)
pyplot.show()
最佳答案
所以我不确定这是否是一个好答案,我之前只使用过更新绘图一次。但这是实现您想要的目标的一种方法。
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
NUM_COL = 10
NUM_ROW = 10
zvals = np.full((NUM_ROW,NUM_COL),-5.0)
cmap = mpl.colors.ListedColormap(['blue','black','red'])
bounds = [-6,-2,2,6]
norm = mpl.colors.BoundaryNorm(bounds, cmap.N)
fig = plt.figure() # Create the figure
img = plt.imshow(zvals,interpolation='nearest', cmap=cmap,norm=norm) # display the first image
plt.colorbar(img,cmap=cmap,norm=norm,boundaries=bounds,ticks=[-5,0,5]) # create your colour bar
# If we dont have this, then animation.FuncAnimation will call update_graph upon initialization
def init():
pass
# animation.FuncAnimation will use this function to update the plot. This is where we update what we want displayed
def update_graph(frame):
global zvals # zvals is a global variable
zvals+=1
img.set_data(zvals) # This sets the data to the new, updated values
print("Frame Update {}".format(frame)) # this is for debugging to help you see whats going on
return img
# This is what will run the animations
anim = animation.FuncAnimation(fig, update_graph, init_func = init,
interval = 1000, # update every 1000ms
frames = 8, # Update 8 times
repeat=False) # After 8 times, don't repeat the animation
plt.show() # show our plot
关于python - 实时更新 pyplot 图表,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44686023/