code:

import scipy as sp
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

data_path = 'Full Results - Stack Overflow Developer Survey - 2015.csv'
data = pd.read_csv(data_path, skiprows=1)

occupation_and_compensation = data[['Compensation', 'Occupation']].dropna()

salary_map = {'Rather not say':    sp.nan,
              'Unemployed':        0,
              'Less than $20,000': 10000, 
              '$20,000 - $40,000': 30000,
              '$40,000 - $60,000': 50000,
              '$60,000 - $80,000': 70000,
              '$80,000 - $100,000': 90000,
              '$100,000 - $120,000': 110000,
              '$120,000 - $140,000': 130000,
              '$140,000 - $160,000': 150000,
              'More than $160,000': 170000}
              
occupation_and_compensation['Compensation'] = occupation_and_compensation['Compensation'].apply(salary_map.get)
mean_compensation = occupation_and_compensation.groupby('Occupation').aggregate(sp.mean)

ax = mean_compensation.sort('Compensation').plot(kind='barh')
ax.set_title('Compensation by occupation, all developers, \nn = {:,}'.format(occupation_and_compensation.shape[0]))
ax.figure.set_size_inches(10, 10)
ax.legend_.remove()