#!/usr/bin/env python
# coding: utf-8

# # Chapter 4: Figures

# Robert Johansson
# 
# Source code listings for [Numerical Python - Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib](https://www.apress.com/us/book/9781484242452) (ISBN 978-1-484242-45-2).

# In[1]:


get_ipython().run_line_magic('matplotlib', 'inline')
import matplotlib.pyplot as plt
import matplotlib as mpl


# In[2]:


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");


# In[3]:


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");


# # Versions

# In[4]:


get_ipython().run_line_magic('reload_ext', 'version_information')


# In[5]:


get_ipython().run_line_magic('version_information', 'numpy, matplotlib')