plot配色方案、Science期刊格式化输出图

• • 不同的配色方案

首先安装SciencePlots包

pip install SciencePlots

然后绘制图像

import numpy as np 
import matplotlib.pyplot as plt 

def model(x, p):
    return x ** (2 * p + 1) / (1 + x ** (2 * p))

x = np.linspace(0.75, 1.25, 201)

with plt.style.context(['science', 'no-latex']):
    fig, ax = plt.subplots()
    for p in [10, 15, 20, 30, 50, 100]:
        ax.plot(x, model(x, p), label=p)
    ax.legend(title='Order')
    ax.set(xlabel='Voltage (mV)')
    ax.set(ylabel='Current ($mu$A)')
    ax.autoscale(tight=True)

with plt.style.context(['science', 'scatter', 'no-latex']):
    fig, ax = plt.subplots(figsize=(4,4))
    ax.plot([-2, 2], [-2, 2], 'k--')
    ax.fill_between([-2, 2], [-2.2, 1.8], [-1.8, 2.2], color='dodgerblue', alpha=0.2, lw=0)
    for i in range(7):
        x1 = np.random.normal(0, 0.5, 10)
        y1 = x1 + np.random.normal(0, 0.2, 10)
        ax.plot(x1, y1, label=r"$^#${}".format(i+1))
    ax.legend(title='Sample', loc=2)
    ax.set_xlabel(r"$log_{10}left(frac{L_mathrm{IR}}{mathrm{L}_odot}right)$")
    ax.set_ylabel(r"$log_{10}left(frac{L_mathrm{6.2}}{mathrm{L}_odot}right)$")
    ax.set_xlim([-2, 2])
    ax.set_ylim([-2, 2])

with plt.style.context(['science', 'high-vis'])
with plt.style.context(['dark_background', 'science', 'high-vis'])
with plt.style.context(['science', 'notebook', 'no-latex'])
with plt.style.context(['science', 'bright'])
with plt.style.context(['science', 'vibrant'])
with plt.style.context(['science', 'muted'])
with plt.style.context(['science', 'retro'])
with plt.style.context(['science', 'grid'])
with plt.style.context(['science', 'high-contrast'])
with plt.style.context(['science', 'light'])
with plt.style.context(['science', 'scatter'])
with plt.style.context(['science', 'ieee'])
with plt.style.context(['science'])