Article Outline
Python matplotlib example 'compare distribution gif'
Functions in program:
def update(i):
Modules used in program:
import matplotlib.animation as animation
import imageio
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np
import sys
python compare distribution gif
Python matplotlib example: compare distribution gif
import sys
import numpy as np
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
plt.clf()
import seaborn as sns
import imageio
from matplotlib.animation import FuncAnimation
import matplotlib.animation as animation
def update(i):
plt.clf()
sns.distplot(p1[i], label='1')
sns.distplot(p2[i], label='2')
plt.xlabel("x label")
plt.legend(loc='lower right')
ax = plt.gca()
ax.figure.canvas.draw() # draw the canvas, cache the renderer
image = np.frombuffer(ax.figure.canvas.tostring_rgb(), dtype='uint8')
image = image.reshape(ax.figure.canvas.get_width_height()[::-1] + (3,))
return image
p1 = np.load('1.npy')
p2 = np.load('2.npy')
fig = plt.figure(figsize=(10, 6))
images = []
for i in range(p1.shape[0]):
images.append(update(i))
images = np.array(images)
kwargs_write = {'fps': 1.0, 'quantizer': 'nq'}
imageio.mimsave('test.gif', images, fps=1)
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com