【Python】Python快速绘制dot_heatmap图,并保存为矢量文件

一、说明

基于milkviz库,使用matplotlib的savefig接口保存为svg矢量格式,以下为生成效果。
【Python】Python快速绘制dot_heatmap图,并保存为矢量文件_第1张图片

二、安装

milkviz库是针对matplotlib的二次封装,以下官网基本示例,可快速生成以下数据类型图:
【Python】Python快速绘制dot_heatmap图,并保存为矢量文件_第2张图片
使用pip安装即可:
pip install milkviz

三、源代码

#!/usr/bin/env python
# -*- encoding: utf-8 -*-
'''
@File    :   plot_dot_heatmap.py
@Time    :   2022/12/05 10:39:32
@Author  :   KmBase
@Version :   1.0
@License :   (C)Copyright 1984-2022, KmBase
@Desc    :   None
'''


"""
Dot heatmap Example
======================

Here shows how to draw dot heatmap

"""
import numpy as np
import milkviz as mv
from matplotlib import pyplot as plt

np.random.seed(0)
shape = (15, 15)
colors = np.random.randint(1, 100, shape)
sizes = np.random.randint(1, 100, shape)
matrix = np.random.randint(1, 100, shape)
labels = [
    "Apple", "Avocado", "Banana", "Blueberries", "Coconut", "Kiwifruit",
    "Lemon", "Mango", "Olives", "Papaya", "Persimmon", "Plum", "Quince",
    "Soursop", "Watermelon"
]
mv.dot_heatmap(sizes,
               colors,
               matrix,
               xticklabels=labels,
               dot_size_legend_kw={"title": "Dot Size"},
               dot_hue_cbar_kw={"title": "Dot Color"},
               matrix_cbar_kw={"title": "Matrix Color"})
plt.tight_layout()
plt.savefig('./0.svg')
plt.show()

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