prob.py

# Frequency
import collections

testlist = [1, 4, 5, 6, 7, 9, 9, 9]

c = collections.Counter(testlist)

print c

# calculate number of instances in list
count_sum = sum(c.values())

for k,v in c.iteritems():
	print "Frequency of number " + str(k) + " is " + str(float(v) / count_sum))



# Generating a Box Plot
import matplotlib.pyplot as plt
%matplotlib inline

x = [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 4, 4, 4, 4, 5, 6, 6, 6, 7, 7,7,7,7, 7, 7, 8, 9, 9]
plt.boxplot(x)
plt.show()


# Generate a Histogram of data
plt.hist(x, histtype='bar')
plt.show()


# Generate QQ Plot

import scipy.stats as stats

plt.figure()
test_data = np.random.normal(size=1000)
graph1 = stats.probplot(test_data, dist='norm', plot=plt)
plt.title('Normal Distribution')
plt.show() # first graph

plt.figure
test_data2 = np.random.uniform(size=1000)
graph2 = stats.probplot(test_data2, dist='norm', plot=plt)
plt.title('Uniform Distribution')
plt.show() # second graph