README.rst

CountMinSketch

CountMinSketch implementation in pure python 3

Features

• TODO

Example

from countminsketch.countminsketch import CountMinSketch
import numpy as np
import matplotlib.pyplot as plt

d = 10
w = 100
cms = CountMinSketch(d=10, w=100)

a = 1.1
s = np.random.zipf(a, 100000)

actual_counts = {}
for val in s:
    int_val = int(val)
    actual_counts.setdefault(int_val, 0)
    actual_counts[int_val] += 1
    cms.add(int_val)

print("There are {} unique values in the data".format(len(actual_counts.keys())))
print("The CountMinSketch contains {} elements".format(len(cms)))

::

There are 43011 unique values in the data The CountMinSketch contains 1000 elements

est_counts = []
for val in actual_counts.keys():
    est_counts.append(cms.query(val))

plt.scatter(list(actual_counts.keys()), list(actual_counts.values()), color='b', label='Actual')
plt.scatter(list(actual_counts.keys()),est_counts, color='r', label='Estimate')
plt.legend()
plt.yscale('log')
plt.xlim([1,100])
plt.xlabel('unique value')
plt.ylabel('count of values')
plt.title('CountMinSketch estimate vs. real for size d={}, w={}'.format(d,w))
plt.show()

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.