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

raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
        'pre_score': [4, 24, 31, 2, 3],
        'mid_score': [25, 94, 57, 62, 70],
        'post_score': [5, 43, 23, 23, 51]}

df = pd.DataFrame(raw_data, columns = ['first_name', 'pre_score', 'mid_score', 'post_score'])
df

/* input data, specifically the second and 
   third rows, skipping the first column */
x1 = df.ix[1, 1:]
x2 = df.ix[2, 1:]

/* Create the bar labels */
bar_labels = ['Pre Score', 'Mid Score', 'Post Score']

/* Create a figure */
fig = plt.figure(figsize=(8,6))

/* Set the y position */
y_pos = np.arange(len(x1))
y_pos = [x for x in y_pos]
plt.yticks(y_pos, bar_labels, fontsize=10)

/* Create a horizontal bar in the position y_pos */
plt.barh(y_pos, 
         /* using x1 data */
         x1, 
         /* that is centered */
         align='center', 
         /* with alpha 0.4 */
         alpha=0.4, 
         /* and color green */
         color='#263F13')

/* Create a horizontal bar in the position y_pos */
plt.barh(y_pos, 
         /* using NEGATIVE x2 data */
         -x2,
         /* that is centered */
         align='center', 
         /* with alpha 0.4 */
         alpha=0.4, 
         /* and color green */
         color='77A61D')

/* annotation and labels */
plt.xlabel('Tina's Score: Light Green. Molly's Score: Dark Green')
t = plt.title('Comparison of Molly and Tina's Score')
plt.ylim([-1,len(x1)+0.1])
plt.xlim([-max(x2)-10, max(x1)+10])
plt.grid()

plt.show()