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

# [Sebastian Raschka](http://www.sebastianraschka.com)
# 
# [back](https://github.com/rasbt/matplotlib-gallery) to the `matplotlib-gallery` at [https://github.com/rasbt/matplotlib-gallery](https://github.com/rasbt/matplotlib-gallery)

# In[1]:


get_ipython().run_line_magic('load_ext', 'watermark')


# In[2]:


get_ipython().run_line_magic('watermark', '-u -v -d -p matplotlib,numpy')


# <font size="1.5em">[More info](http://nbviewer.ipython.org/github/rasbt/python_reference/blob/master/ipython_magic/watermark.ipynb) about the `%watermark` extension</font>

# In[3]:


get_ipython().run_line_magic('matplotlib', 'inline')


# <br>
# <br>

# # Matplotlib Formatting III: What it takes to become a legend

# > I won't be a rock star. I will be a legend.
# 
# -- *Freddie Mercury*
# 

# <br>
# <br>

# # Sections

# - [Back to square one](#Back-to-square-one)
# - [Let's get fancy](#Let's-get-fancy)
# - [Thinking outside the box](#Thinking-outside-the-box)
# - [I love when things are transparent, free and clear](#I-love-when-things-are-transparent,-free-and-clear)
# - [Markers -- All good things come in threes!](#Markers----All-good-things-come-in-threes!)

# <br>
# <br>

# ## Back to square one

# [⬆](#Sections)

# In[6]:


import matplotlib.pyplot as plt
import numpy as np

x = np.arange(10)

for i in range(1, 4):
    plt.plot(x, i * x**2, label='Group %d' % i)

plt.legend(loc='best')
plt.show()


# <br>
# <br>

# ## Let's get fancy

# [⬆](#Sections)

# In[7]:


x = np.arange(10)

for i in range(1, 4):
    plt.plot(x, i * x**2, label='Group %d' % i)

plt.legend(loc='best', fancybox=True, shadow=True)
plt.show()


# <br>
# <br>

# ## Thinking outside the box

# [⬆](#Sections)

# In[8]:


fig = plt.figure()
ax = plt.subplot(111)

x = np.arange(10)

for i in range(1, 4):
    ax.plot(x, i * x**2, label='Group %d' % i)

ax.legend(loc='upper center', 
          bbox_to_anchor=(0.5,  # horizontal
                          1.15),# vertical 
          ncol=3, fancybox=True)
plt.show()


# In[22]:


fig = plt.figure()
ax = plt.subplot(111)

x = np.arange(10)

for i in range(1, 4):
    ax.plot(x, i * x**2, label='Group %d' % i)

ax.legend(loc='upper center', 
          bbox_to_anchor=(1.15, 1.02),
          ncol=1, fancybox=True)
plt.show()


# <br>
# <br>

# ## I love when things are transparent, free and clear

# [⬆](#Sections)

# In[27]:


x = np.arange(10)

for i in range(1, 4):
    plt.plot(x, i * x**2, label='Group %d' % i)

plt.legend(loc='upper right', framealpha=0.1)
plt.show()


# <br>
# <br>

# ## Markers -- All good things come in threes!

# [⬆](#Sections)

# In[32]:


from itertools import cycle
x = np.arange(10)

colors = ['blue', 'red', 'green']
color_gen = cycle(colors)

for i in range(1, 4):
    plt.scatter(x, i * x**2, label='Group %d' % i, color=next(color_gen))

plt.legend(loc='upper left')
plt.show()


# In[35]:


from itertools import cycle
x = np.arange(10)

colors = ['blue', 'red', 'green']
color_gen = cycle(colors)

for i in range(1, 4):
    plt.scatter(x, i * x**2, label='Group %d' % i, color=next(color_gen))

plt.legend(loc='upper left', scatterpoints=1)
plt.show()


# In[37]:


from itertools import cycle
x = np.arange(10)

colors = ['blue', 'red', 'green']
color_gen = cycle(colors)

for i in range(1, 4):
    plt.plot(x, i * x**2, label='Group %d' % i, marker='o')

plt.legend(loc='upper left')
plt.show()


# In[38]:


from itertools import cycle
x = np.arange(10)

colors = ['blue', 'red', 'green']
color_gen = cycle(colors)

for i in range(1, 4):
    plt.plot(x, i * x**2, label='Group %d' % i, marker='o')

plt.legend(loc='upper left', numpoints=1)
plt.show()


# In[ ]: