matplotlib 库常用用法--散点图绘制

# 散点图绘制

# 1、代码示例

import numpy as np
import matplotlib.pyplot as plt

# Fixing random state for reproducibility
np.random.seed(19680801)


N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = (30 * np.random.rand(N))**2  # 0 to 15 point radii

plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.show()

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# 2、自写代码

 ax.scatter(noisy_sample_pd1, noisy_sample_pd2, c='lightcoral', marker='+', alpha=0.6, label="Noisy Sample")  
 ax.scatter(clean_sample_pd1, clean_sample_pd2, c='darkcyan',  marker='x', alpha=0.6, label="Clean Sample")

# concat two image
def mix_img(path1, path2, save_path):
    img1 = cv2.imread(path1)
    img2 = cv2.imread(path2)
    image_concat = np.concatenate([img1, img2], axis=1)
    cv2.imwrite(save_path, img=image_concat)

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#

# 3、参数解析

c 参数如下图（参考链接 (opens new window)）
m 参数如下图（参考链接 (opens new window)）

# 拼图

image_concat1 = np.concatenate([img, mask], axis=1)
image_concat2 = np.concatenate([img, color_mask], axis=1)
mmcv.imwrite(image_concat1, 'test1.png')
mmcv.imwrite(image_concat2, 'test2.png')

plt.subplot(1, 3, 1)
plt.imshow(img)
plt.title("img", fontsize=8)

plt.subplot(1, 3, 2)
plt.imshow(mask, cmap ='gray')
plt.title(f"img_noise_erode_", fontsize=8)

plt.subplot(1, 3, 3)
plt.imshow(color_mask)
plt.title(f"img_noise_dilate_", fontsize=8)

plt.savefig('test.png')
plt.show()

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# 参考资料

https://matplotlib.org/stable/api/index.html
https://matplotlib.org/2.0.2/examples/color/named_colors.html
https://matplotlib.org/stable/api/markers_api.html#module-matplotlib.markers
https://matplotlib.org/stable/gallery/shapes_and_collections/scatter.html#sphx-glr-gallery-shapes-and-collections-scatter-py
https://matplotlib.org/stable/tutorials/introductory/sample_plots.html#sphx-glr-tutorials-introductory-sample-plots-py

参考资料

https://flashgene.com/archives/163100.html

上次更新: 2021/09/26, 00:09:41

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