python多子图位置_matplotlib:多个子图并排放置

引言

论文中有时会用到介绍数据集，每类图像并排放置的显示方式，所以可以自己定制这种类型很有必要(如下图样式)

相关代码

# -*- coding:utf-8 -*-

from pathlib import Path

import random

from matplotlib import pyplot as plt

from PIL import Image

# 读取图像到列表中

image_path = Path(r'make_figurefmd')

all_selected_images = []

selected_images = []

for one_category in image_path.iterdir():

if one_category.is_dir():

selected_images = list(one_category.iterdir())

random.shuffle(selected_images)

selected_images = selected_images[:10]

all_selected_images.extend(selected_images)

# 绘制多个子图

plt.figure()

for i in range(1, 101):

im = Image.open(str(all_selected_images[i-1]))

im = im.resize((512, 384))

ax = plt.subplot(10, 10, i)

plt.imshow(im)

# 去除坐标轴

plt.xticks([])

plt.yticks([])

# 去除黑框

ax.spines['top'].set_visible(False)

ax.spines['right'].set_visible(False)

ax.spines['bottom'].set_visible(False)

ax.spines['left'].set_visible(False)

# 设置各个子图间间距

plt.subplots_adjust(left=0.10, top=0.88, right=0.65, bottom=0.08, wspace=0.02, hspace=0.02)

plt.show()