python_plots_template.py

# Libraries
import numpy as np
from matplotlib import rcParams, pyplot as plt
import random

# Plot parameters
def plot_params():
    params = {
       'font.family' : 'sans-serif',
       'font.sans-serif' : 'Calibri',
       'axes.labelsize': 24,
       'axes.labelweight': "bold",
       'axes.titlesize': 24,
       'axes.titleweight': "bold",
       'font.size': 24,
       'font.weight': "bold",
       'legend.fontsize': 24,
       'xtick.labelsize': 24,
       'ytick.labelsize': 24,
       'text.usetex': False,
       'figure.figsize': [6*1.5, 3.7082*1.5]
       }
    rcParams.update(params)

plot_params()

# Data
data_1 = random.sample(range(1, 100), 20)
data_2 = random.sample(range(1, 200), 20)
data_3 = random.sample(range(1, 300), 20)

# Plot
fig = plt.figure()
ax = fig.add_subplot()
plt.plot(np.sort(data_1), color = 'red', label = "data 1", marker = 'o', markersize = 8, linestyle = 'solid', linewidth = 3)
plt.plot(np.sort(data_2), color = 'green', label = "data 2", marker = 'o', markersize = 8, linestyle = 'solid', linewidth = 3)
plt.plot(np.sort(data_3), color = 'mediumblue', label = "data 3", marker = 'o', markersize = 8, linestyle = 'solid', linewidth = 3)
plt.xlabel("Data Points", fontsize=24)
plt.ylabel("Data Values", fontsize=24)
plt.xticks([0, 4, 9, 14, 19], [1, 5, 10, 15, 20])
plt.text(0.02, 0.95, '(a)', transform=ax.transAxes, fontsize=24, fontweight='bold', va='top')
plt.legend(prop={'size': 24}, loc='upper left', bbox_to_anchor=(0.07, 0., 0.92, 1.02))
plt.savefig("python_graph.png", format='png', bbox_inches='tight', dpi=720)
plt.savefig("python_graph.eps", format='eps', bbox_inches='tight', dpi=720)
plt.show()