LovelyPlots库 可以很好地格式化科学论文、论文和演示文稿的可视化图形，同时使它们在 Adobe Illustrator 中完全可编辑。

此外，.svg 导出选项允许图形自动调整其字体以适应您文档的字体。 例如，导入到 .tex 文件中的 .svg 图形将自动生成为您的 .tex 文件中使用的文本字体。


安装

pip3 install LovelyPlots

样例


代码

import matplotlib.pyplot as plt
import numpy as np

def MB_speed(v, m, T):
    """Maxwell-Boltzmann speed distribution for speeds"""
    kB = 1.38e-23
    return (
        (m / (2 * np.pi * kB * T)) ** 1.5 * 4 * np.pi * v**2 * np.exp(-m * v**2 / (2 * kB * T))
    )


def plot_dist(
    temperatures,
    v,
    mass=85 * 1.66e-27,
    pparam={"xlabel": "Speed", "ylabel": "Speed distribution"},
    save_name="",
):

    fig, ax = plt.subplots()
    for T in temperatures:
        fv = MB_speed(v, mass, T)
        ax.plot(v, fv, label=f"T={T}K")
        ax.legend()
        ax.set(**pparam)
        fig.savefig(save_name)


v = np.arange(0, 800, 10)
temperatures = [i for i in range(100, 500, 75)]





styles = [
    [
        "ipynb",
        "use_mathtext",
    ],
    [
        "ipynb",
        "use_mathtext",
        "colors5-light",
    ],
    [
        "ipynb",
        "use_mathtext",
        "colors10-ls",
    ],
    [
        "ipynb",
        "use_mathtext",
        "colors10-markers",
    ],
    ["classic"],
    ["ipynb"],
]
names = [
    "out/ipynb+use_mathtext.png",
    "out/ipynb+use_mathtext+colors5-light.png",
    "out/ipynb+use_mathtext+colors10-ls.png",
    "out/ipynb+use_mathtext+colors10-markers.png",
    "out/classicmpl.png",
    "out/ipynb.png",
]


for style, name in zip(styles, names):
    with plt.style.context(style):
        plot_dist(temperatures, v, save_name=name)

广而告之