In [15]:

    

%matplotlib inline


    

In [16]:

    

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

# Use the GGPLOT style.
plt.style.use('ggplot')


    

In [17]:

    

for style in plt.style.available:
    print(style)


    

    




seaborn-deep
classic
seaborn-pastel
seaborn-darkgrid
ggplot
dark_background
grayscale
seaborn-whitegrid
seaborn-muted
seaborn-notebook
seaborn-dark-palette
seaborn-dark
seaborn-poster
seaborn-talk
fivethirtyeight
seaborn-bright
seaborn-ticks
seaborn-paper
seaborn-colorblind
bmh
seaborn-white

In [18]:

    

# Create our data and labels.
labels = ['Mystery', 'Sports', 'Science', 'Biography', 'History']
s = pd.Series([24, 15, 33, 18, 27], index=labels)


    

In [19]:

    

# Show our data as a table.
title = "Books Checked Out"
pd.DataFrame(s, columns=[title])


    

    
Out[19]:






  

    

      

      
Books Checked Out
    
  
  

    

      
Mystery
      
24
    
    

      
Sports
      
15
    
    

      
Science
      
33
    
    

      
Biography
      
18
    
    

      
History
      
27
    
  

In [20]:

    

# Show our data as a bar plot.
fig = plt.figure(figsize=(7,6))
ax = s.plot(kind='bar', rot=45)
result = ax.set_title(title)


    

In [35]:

    

# Show our data as a bar plot.
with plt.style.context('ggplot'):
    fig = plt.figure(figsize=(7,6))
    ax = s.plot(kind='barh')
    result = ax.set_title(title)


    

In [39]:

    

# Make a pie chart.
with plt.style.context('ggplot'):
    fig = plt.figure(figsize=(6,6))
    ax = plt.pie(s, labels=labels, autopct="%0.f%%", shadow=True)
    ax = plt.gca()
    o = ax.set_title(title)


    

In [41]:

    

# Student height data.
counts = [
    (3, 2),
    (7, 4),
    (5, 8),
    (6, 3),
    (4, 0),
]
labels = [43, 44, 45, 46, 47]
df = pd.DataFrame(counts, index=labels, columns=['Boys', 'Girls'])


    

In [42]:

    

# Show the data as a table.
df


    

    
Out[42]:






  

    

      

      
Boys
      
Girls
    
  
  

    

      
43
      
3
      
2
    
    

      
44
      
7
      
4
    
    

      
45
      
5
      
8
    
    

      
46
      
6
      
3
    
    

      
47
      
4
      
0
    
  

In [44]:

    

# Plot boys and girls heights together ...
with plt.style.context('fivethirtyeight'):
    ax = df.plot(kind='bar', rot=0)
    o = ax.set_title("Student Heights")


    

In [46]:

    

# ... separately ...
# Plot boys and girls heights together ...
with plt.style.context('ggplot'):
    axes = df.plot(kind='bar', rot=0, subplots=True)
    for ax in axes:
        ax.legend().remove()


    

In [50]:

    

# ... and stacked.
# Plot boys and girls heights together ...
with plt.style.context('ggplot'):
    ax = df.plot(kind='bar', rot=0, stacked=True)
    o = ax.set_title("Student Heights")