# Tag Archives: Data Graphics

## text rendering with LaTeX in matplotlib

Matplotlib has the option to use LaTeX to manage all text layout.

The LaTeX option is activated by setting “text.usetex: True” in the rc settings. Text handling with matplotlib’s LaTeX support is slower than matplotlib’s very capable mathtext, but is more flexible, since different LaTeX packages (font packages, math packages, etc.) can be used.

The code of this figure is as simple as:

import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt

mpl.rcParams['legend.fontsize'] = 14
plt.rc('text', usetex=True)
plt.rc('font', family='serif')

fig = plt.figure()
ax = fig.gca(projection='3d')
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-4, 4, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)
ax.plot(x, y, z, label='$Parametric$ $curve$', alpha=0.8)
ax.legend(numpoints=1, loc=1, frameon=False)

plt.show()

## Master’s Thesis on data graphics characterization

Finally I have finished the master’s thesis on data graphics characterization and I hope that it will help many scientific writers choose the correct graph (Link: MThesis_PereMillan).