Robert Johansson
Source code listings for Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib (ISBN 978-1-484242-45-2).
%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib as mpl
fig = plt.figure()
ax = fig.add_axes([0.05, 0.05, .88, .88])
ax.set_yticks([])
ax.set_xticks([])
ax.text(0.001, 0.01, "(0,0)")
ax.text(1.001, 0.01, "(1,0)")
ax.text(0.001, 1.01, "(0,1)")
ax.text(1.001, 1.01, "(1,1)")
ax.text(0.02, 0.92, "Figure", fontsize=18)
ax.text(0.12, 0.06, "(0.15, 0.15)")
ax = fig.add_axes([0.15, 0.15, 0.68, 0.66])
ax.text(0.03, 0.88, "Axes", fontsize=18)
ax.set_yticks([])
ax.set_xticks([])
fig.savefig("figure-axes-schematic.pdf");
fig = plt.figure()
ax.text(0.12, 0.06, "(0.15, 0.15)")
ax = fig.add_axes([0.15, 0.15, 0.68, 0.66])
ax.set_yticks([1, 2, 3])
ax.set_xticks([1, 2, 3])
#ax.set_yticklabels(['', '', ''])
ax.set_xlabel("x axis", fontsize=18)
ax.set_ylabel("y axis", fontsize=18)
ax.set_xlim(1,3)
ax.set_ylim(1,3)
ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.25))
ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.25))
ax.annotate("Major tick",
xy=(1, 2), xycoords='data',
xytext=(+35, +30), textcoords='offset points', fontsize=16,
arrowprops=dict(arrowstyle="->", connectionstyle="arc3, rad=.2"))
ax.annotate("Minor tick",
xy=(1, 1.5), xycoords='data',
xytext=(+35, +30), textcoords='offset points', fontsize=16,
arrowprops=dict(arrowstyle="->", connectionstyle="arc3, rad=.2"))
fig.savefig("figure-axis-schematic.pdf");
%reload_ext version_information
%version_information numpy, matplotlib
Software | Version |
---|---|
Python | 3.6.8 64bit [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] |
IPython | 7.5.0 |
OS | Darwin 18.2.0 x86_64 i386 64bit |
numpy | 1.16.3 |
matplotlib | 3.0.3 |
Mon May 06 14:32:33 2019 JST |