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

# <!--BOOK_INFORMATION-->
# <img align="left" style="padding-right:10px;" src="fig/cover-small.jpg">
# *This notebook contains an excerpt from the [Whirlwind Tour of Python](http://www.oreilly.com/programming/free/a-whirlwind-tour-of-python.csp) by Jake VanderPlas; the content is available [on GitHub](https://github.com/jakevdp/WhirlwindTourOfPython).*
# 
# *The text and code are released under the [CC0](https://github.com/jakevdp/WhirlwindTourOfPython/blob/master/LICENSE) license; see also the companion project, the [Python Data Science Handbook](https://github.com/jakevdp/PythonDataScienceHandbook).*
# 

# <!--NAVIGATION-->
# < [Resources for Further Learning](16-Further-Resources.ipynb) | [Contents](Index.ipynb) |

# # Appendix: Figure Code

# This section contains code used to generate figures that appear in this report.

# In[1]:


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


# In[2]:


import os
if not os.path.exists('fig'):
    os.makedirs('fig')


# ## Section 6: List Indexing
# 
# This figure helps visualize how Python's indexing works.

# In[3]:


L = [2, 3, 5, 7, 11]

fig = plt.figure(figsize=(10, 4))
ax = fig.add_axes([0, 0, 1, 1], xticks=[], yticks=[], frameon=False,
                  aspect='equal')

for i in range(5):
    ax.add_patch(plt.Rectangle([i - 0.5, -0.5], 1, 1, fc='none', ec='black'))
    ax.text(i, -0.05, L[i], size=100,
            ha='center', va='center', family='monospace')
    
for i in range(6):
    ax.text(i - 0.5, 0.55, str(i), size=20,
            ha='center', va='bottom', family='monospace')
    
for i in range(5):
    ax.text(i - 0.5, -0.58, str(-5 + i), size=20,
            ha='center', va='top', family='monospace')
    
ax.axis([-0.7, 4.7, -0.7, 0.7]);

fig.savefig('fig/list-indexing.png');


# <!--NAVIGATION-->
# < [Resources for Further Learning](16-Further-Resources.ipynb) | [Contents](Index.ipynb) |