matplotlib template for a graph for a paper

Here is my personal template for writing graphs for papers in matplotlib.

github

  • The file in jupyter notebook format on github is here .

google colaboratory

  • If you want to run it in google colaboratory here

Author’s environment

sw_vers

ProductName: Mac OS X
ProductVersion: 10.14.6
BuildVersion: 18G9323

Python -V

Python 3.8.5

%matplotlib inline
%config InlineBackend.figure_format = 'svg'

import time
import json

import numpy as np
import pandas as pd

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

Draw four graphs side by side.

X = range(10)
Y = np.array(range(100)).reshape(10,10) / 100

title_list = [
  'title 1',
  'title 2',
  'title 3',
  'title 4',
]

xlabel = 'X axis'
ylabel = 'Y axis'
xlim = (0.,10.)
ylim = (0.,1.0)

plot_config_01 = {
  'marker' : '. ,
  'label' : 'label A : $\sum \alpha$',
  'color' : 'r',
  'marker' : '. ,
  'markersize' :12,
  'markerfacecolor' : 'r',
  'markeredgewidth': 1,
  'markeredgecolor': 'k',
}

plot_config_02 = {
  'marker' : '.' ,
  'label' : 'label B : $\int \beta$',
  'color' : 'b',
  'marker' : '. ,
  'markersize' :12,
  'markerfacecolor' : 'b',
  'markeredgewidth': 1,
  'markeredgecolor': 'k',
}

plt.figure(figsize=(4 * 3, 3)).patch.set_facecolor('white')

plt.rcParams['font.family'] ='Times New Roman'
plt.rcParams['mathtext.fontset'] = 'stix'
plt.rcParams['xtick.direction'] = 'in'
plt.rcParams['ytick.direction'] = 'in'
plt.rcParams['xtick.major.width'] = 1.0
plt.rcParams['ytick.major.width'] = 1.0
plt.rcParams['font.size'] = 8
plt.rcParams['xtick.labelsize'] = 8
plt.rcParams['ytick.labelsize'] = 8
plt.rcParams['axes.linewidth'] = 1.0

plt.gca().yaxis.set_major_formatter(plt.FormatStrFormatter('%.2f'))
plt.gca().xaxis.get_major_formatter().set_useOffset(False)
plt.gca().yaxis.set_major_locator(ticker.MaxNLocator(integer=True))

plt.locator_params(axis='y',nbins=6)
plt.gca().yaxis.set_tick_params(which='both', direction='in',bottom=True, top=True, left=True, right=True)

for i in range(4):
  plt.subplot(1,4,i + 1)
  plt.plot(X, Y[i], **plot_config_01)
  plt.plot(X, Y[i] * 2, **plot_config_02)
  plt.grid()
  # plt.legend(loc='upper left')
  plt.legend()
  plt.xlim(xlim)
  plt.ylim(ylim)
  plt.xlabel(xlabel)
  plt.ylabel(ylabel)
  plt.title(title_list[i])
  plt.title(title_list[i])


# savefig
plt.tight_layout()

# Remove the margins
plt.savefig('. /test.svg', dpi=450, bbox_inches="tight", pad_inches=0.0)
plt.show()

Draw a graph of four tNSEs side by side.

from sklearn import datasets
from sklearn.manifold import TSNE

digits = datasets.load_digits()

X_reduced = TSNE(n_components=2, random_state=123).fit_transform(digits.data)

config = {
  'marker' : '. ,
  'label' : 'label $\int$',
  'marker' : '. ,
  's' : 112,
  'linewidths': 1,
  'edgecolors': 'k',
  'cmap':'jet'
}

plt.figure(figsize=(4 * 3.14 + 8, 3.14)).patch.set_facecolor('white')

# plt.rcParams['font.family'] ='sans-serif'
plt.rcParams['font.family'] ='Times New Roman'
plt.rcParams['mathtext.fontset'] = 'stix'
plt.rcParams['xtick.direction'] = 'in'
plt.rcParams['ytick.direction'] = 'in'
plt.rcParams['xtick.major.width'] = 1.0
plt.rcParams['ytick.major.width'] = 1.0
plt.rcParams['font.size'] = 8
plt.rcParams['xtick.labelsize'] = 8
plt.rcParams['ytick.labelsize'] = 8
plt.rcParams['axes.linewidth'] = 1.0

plt.gca().yaxis.set_major_formatter(plt.FormatStrFormatter('%.2f'))
plt.gca().xaxis.get_major_formatter().set_useOffset(False)
plt.gca().yaxis.set_major_locator(ticker.MaxNLocator(integer=True))

plt.locator_params(axis='y',nbins=6)
plt.gca().yaxis.set_tick_params(which='both', direction='in',bottom=True, top=True, left=True, right=True)

for i in range(4):
  plt.subplot(1,4,i + 1)
  plt.scatter(X_reduced[:, 0], X_reduced[:, 1], c=digits.target, **config)
  plt.colorbar()
  plt.legend()
  plt.xlabel(xlabel)
  plt.ylabel(ylabel)
  plt.legend(loc='upper left')
  plt.title(title_list[i])


plt.savefig('. /tsne.svg', dpi=450, bbox_inches="tight", pad_inches=0.0)
plt.show()

It is useful to put them together.