论文实验数据绘图
Project description
paperplotlib
本项目还处于早期开发阶段, 欢迎反馈建议
paperplotlib 是基于 matplotlib 的论文实验数据绘图库, 意在快速绘制论文实验结果部分中常见的柱状图/折线图
本库提供了一组 论文实验数据图的默认样式, 以及一组相对简洁的 API 调用
一些绘制的示例代码和结果图见: paperplotlib 示例
安装
pip install paperplotlib
快速开始
import paperplotlib as ppl
import numpy as np
# 随机生成一个 5 x 7 的数据
a = 5
b = 7
y = np.random.randint(10, 100, size=(a, b))
group_names = [f"group {i}" for i in range(a)]
column_names = [f"column {i}" for i in range(b)]
graph = ppl.BarGraph()
graph.plot_2d(y, group_names, column_names)
graph.x_label = "The number of data"
graph.y_label = "Throughput (Mbps)"
graph.save()
使用文档: paperplotlib document
参考
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