Python decorator for matplotlib and seaborn plots. Users only need to add one line on top of a plotting function to set pre-customized styles without changing current plot styles. The current version supports LaTex decorator.
The internal color scheme for multi-line plots is inherited from Yi-Xin Liu's mpltex's color file and is modified to be compatible in Python 3. The default scheme is Tableau classic 10 and can be changed to ColorBrewer Set 1 and Tableau classic 20 in the color.py file. Information on Tableau scheme can be found in Palettable: Color palettes for Python.
This tool is inspired by and built on Yi-Xin Liu's mpltex and masasin's latexipy
R users may want to check ggpubr to easily get publication-ready plots.
In terminal, type
pip install git+https://github.com/yu45020/MplDecorator/
or. Download the package and unzip it. In terminal and the directory of the package, run
python setup.py install
- Must define a plot function to use the decorator.
- In order to save in eps format, plots must be saved inside the plot function. Saving in PDF format will result in error (may be use.LaTex error)
- To convert a eps file to PDF, insert them into a latex file and compile that file, or type the following code in python:
import subprocess
subprocess.call(["epstopdf", "fig_name.eps"])
# Names with empty space is supported. A pdf with the same name will be created.
# To change file name, use the following:
# subprocess.call(["epstopdf", "--outfile", "outfig_name.pdf", "fig_name.eps"])Parameters can be customized in latex.py:
font size for all: 8
font family: serif
usetex: True
figure size: (width=4.296, height=2.655)
savefig format: eps
savefig.dpi: 900
seaborn.style: 'seaborn-white' & "seaborn-paper"
plt.switch_backend: pgf (better for saving figs in eps and pdf, but no preview)
MplDecorator.linestyles(colors, lines, markers, hollow_styles, marker_size)Default values are supplied. Marker_size is 0.5 by default. If don't want marker in lines, set markers = False.
To modify this function, please check styles.py
Python 3
Python 2 is not tested yet.
import os, sys
sys.path.append(os.getcwd())
import MplDecorator
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(0, 3)
y = np.sin(x)
z = np.cos(x)
@MplDecorator.latex_decorator
def text_plot():
fig,ax = plt.subplots()
# fig, ax = plt.subplots(figsize=(11,11))
line_style = MplDecorator.linestyles()
next(line_style)
ax.plot(x,y,label='y', **next(line_style))
ax.plot(x,z, label='z', **next(line_style))
ax.set_title("With Decorator")
ax.set_xlabel('Some x')
ax.set_ylabel('Some y')
ax.legend(loc='best')
plt.grid()
fig.savefig("With Decorator.eps")
text_plot()
os.system('epstopdf "With Decorator.eps"')
def text_plot2():
#sns.lmplot(x="Time", y="value", hue="variable", data=dat)
fig,ax = plt.subplots()
line_style = MplDecorator.linestyles()
next(line_style)
ax.plot(x,y,label='y', **next(line_style))
ax.plot(x,z, label='z', **next(line_style))
ax.set_title("No Decorator")
ax.set_xlabel('Some x')
ax.set_ylabel('Some y')
ax.legend(loc='best')
fig.savefig("After Decorator.eps")
text_plot2()
os.system('epstopdf "After Decorator.eps"')(Note: this is the default plot style, and its settings are not changed by the previous decorator)
@MplDecorator.latex_decorator
def text_plot_larger():
fig,ax = plt.subplots(figsize=(6,6))
# fig, ax = plt.subplots(figsize=(11,11))
line_style = MplDecorator.linestyles()
next(line_style)
ax.plot(x,y,label='y', **next(line_style))
ax.plot(x,z, label='z', **next(line_style))
ax.set_title("Larger With Decorator")
ax.set_xlabel('Some x')
ax.set_ylabel('Some y')
ax.legend(loc='best')
plt.grid()
fig.savefig("With Decorator Larger.eps")
text_plot_larger()
os.system('epstopdf "With Decorator Larger.eps"')
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent