Python matplotlib 批量绘图内存不够

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解决方案1：

import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt


>注意导入顺序，缺一不可。
matplotlib.use(‘agg’)：作用是matplotlib设定为非交互式，前端不会展示绘图结果

example：

import numpy as np
import random
import matplotlib
matplotlib.use('agg')
import matplotlib.pyplot as plt

for i in range(10):
#1. Generate data array
x = np.random.normal(0, 1, 10)
y = np.random.normal(0, 1, 10)
#2.画布设置：
plt.figure(figsize=(10, 10), dpi=80)
ax=plt.subplot2grid((1,1), (0,0), facecolor='w')
#3.绘制散点图或折线图
plt.scatter(x,y, c='pink', s=5)
#4.保存图片
plt.savefig('C:\Users\AQ84510'+str(i)+'.jpg')
plt.clf()
plt.close()


解决方案2

plt.close(fig)

import matplotlib.pyplot as plt
fig, ax = plt.subplots( nrows=1, ncols=1 ) # create figure & 1 axis
x=[0,1,2]
y=[3,4,5]
ax.plot(x,y )
fig.savefig('path/picture.png') # save the figure to file folder
plt.close(fig) # close the figure



解决方案3

import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(5,4)) # 在循环外部创建一个fig对象，循环利用
for i in range(10000):
print('figure %d' % i)
x=[1,2,3]
y=[4,5,6]
plt.plot(x, y, 'k', linewidth=0.2)
plt.axis('off')
# 去除边框
plt.gca().xaxis.set_major_locator(plt.NullLocator())
plt.gca().yaxis.set_major_locator(plt.NullLocator())
plt.subplots_adjust(top = 1, bottom = 0, right = 1, left = 0, hspace = 0, wspace = 0)
plt.margins(0,0)
filesave = 'D:\\'+str(i)+'.png'
fig.savefig(filesave, format='png', transparent=True, dpi=200, pad_inches = 0) # 选择合适的分辨率
plt.clf() # 使用 plt.clf() 清理掉 axes

Everything not saved will be lost.