其他
SciencePlots | 科研样式绘图库
安装
!pip3 install SciencePlots
tips:
SciencePlots库需要电脑安装LaTex，其中
MacOS电脑安装MacTex https://www.tug.org/mactex/ Windows电脑安装MikTex https://miktex.org/
初始化绘图样式
在SciencePlots库中科研绘图样式都是用的science
import matplotlib.pyplot as plt
plt.style.use('science')
当然你也可以同时设置多个样式
plt.style.use(['science', 'ieee'])
在上面的代码中， ieee 会覆盖掉 science 中的某些参数（列宽、字号等）， 以达到符合 IEEE论文的绘图要求
如果要临时使用某种绘图样式，科研使用如下语法
#注意，此处是语法示例，
#如要运行， 请提前准备好x和y的数据
with plt.style.context(['science', 'ieee']):
plt.figure()
plt.plot(x, y)
plt.show()
案例
定义函数曲线， 准备数据
import numpy as np
import matplotlib.pyplot as plt
def function(x, p):
return x ** (2 * p + 1) / (1 + x ** (2 * p))
pparam = dict(xlabel='Voltage (mV)', ylabel='Current ($\mu$A)')
x = np.linspace(0.75, 1.25, 201)
science样式
with plt.style.context(['science']):
fig, ax = plt.subplots()
for p in [10, 15, 20, 30, 50, 100]:
ax.plot(x, function(x, p), label=p)
ax.legend(title='Order')
ax.autoscale(tight=True)
ax.set(**pparam)
fig.savefig('figures/fig1.pdf')
fig.savefig('figures/fig1.jpg', dpi=300)
science+ieee样式
针对IEEE论文准备的science+ieee样式
with plt.style.context(['science', 'ieee']):
fig, ax = plt.subplots()
for p in [10, 20, 40, 100]:
ax.plot(x, function(x, p), label=p)
ax.legend(title='Order')
ax.autoscale(tight=True)
ax.set(**pparam)
# Note: $\mu$ doesn't work with Times font (used by ieee style)
ax.set_ylabel(r'Current (\textmu A)')
fig.savefig('figures/fig2a.pdf')
fig.savefig('figures/fig2a.jpg', dpi=300)
science+scatter样式
IEEE 要求图形以黑白打印时必须可读。ieee 样式还可以将图形宽度设置为适合IEEE论文的一列。
with plt.style.context(['science', 'scatter']):
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)
xlbl = r"$\log_{10}\left(\frac{L_\mathrm{IR}}{\mathrm{L}_\odot}\right)$"
ylbl = r"$\log_{10}\left(\frac{L_\mathrm{6.2}}{\mathrm{L}_\odot}\right)$"
ax.set_xlabel(xlbl)
ax.set_ylabel(ylbl)
ax.set_xlim([-2, 2])
ax.set_ylim([-2, 2])
fig.savefig('figures/fig3.pdf')
fig.savefig('figures/fig3.jpg', dpi=300)
dark_background +science+high-vis
您还可以将这些样式与Matplotlib随附的其他样式结合使用。例如，dark_background +science+high-vis样式：
with plt.style.context(['dark_background', 'science', 'high-vis']):
fig, ax = plt.subplots()
for p in [10, 15, 20, 30, 50, 100]:
ax.plot(x, function(x, p), label=p)
ax.legend(title='Order')
ax.autoscale(tight=True)
ax.set(**pparam)
fig.savefig('figures/fig5.pdf')
fig.savefig('figures/fig5.jpg', dpi=300)
代码下载链接:https://pan.baidu.com/s/1m0ifGg9WfddSTAfa3qdn5Q 密码:pxxg