我有一个柱状图,它从字典中获取其y值。我需要它更新同一张图表上的值,而不是显示多个具有所有不同值的图表,然后我必须关闭每个单独的图表。是否有解决方案?
我有一个柱状图,它从字典中获取其y值。我需要它更新同一张图表上的值,而不是显示多个具有所有不同值的图表,然后我必须关闭每个单独的图表。是否有解决方案?
plt.bar
一次,保存返回值rects
,然后调用rect.set_height
来修改条形图。
调用fig.canvas.draw()
更新图形即可。import matplotlib
matplotlib.use('TKAgg')
import matplotlib.pyplot as plt
import numpy as np
def animated_barplot():
# http://www.scipy.org/Cookbook/Matplotlib/Animations
mu, sigma = 100, 15
N = 4
x = mu + sigma*np.random.randn(N)
rects = plt.bar(range(N), x, align = 'center')
for i in range(50):
x = mu + sigma*np.random.randn(N)
for rect, h in zip(rects, x):
rect.set_height(h)
fig.canvas.draw()
fig = plt.figure()
win = fig.canvas.manager.window
win.after(100, animated_barplot)
plt.show()
我将上述出色的解决方案简化为其要点,更多细节请参见我博客文章:
import numpy as np
import matplotlib.pyplot as plt
numBins = 100
numEvents = 100000
file = 'datafile_100bins_100000events.histogram'
histogramSeries = np.loadtext(file)
fig, ax = plt.subplots()
rects = ax.bar(range(numBins), np.ones(numBins)*40) # 40 is upper bound of y-axis
for i in range(numEvents):
for rect,h in zip(rects,histogramSeries[i,:]):
rect.set_height(h)
fig.canvas.draw()
plt.pause(0.001)