SQLite does not have a function for standard deviation. Not really sure why. Fortunately, the sqlite3 library included in Python supports user-defined functions. Here is a test script that creates a user-defined aggregate function for sample standard deviation and then runs it with a set of test values. The implementation of stdev skips null values and retuns null when it does not get enough points.
#!/usr/bin/env python import sqlite3 import math class StdevFunc: def __init__(self): self.M = 0.0 self.S = 0.0 self.k = 1 def step(self, value): if value is None: return tM = self.M self.M += (value - tM) / self.k self.S += (value - tM) * (value - self.M) self.k += 1 def finalize(self): if self.k < 3: return None return math.sqrt(self.S / (self.k-2)) with sqlite3.connect(':memory:') as con: con.create_aggregate("stdev", 1, StdevFunc) cur = con.cursor() cur.execute("create table test(i)") cur.executemany("insert into test(i) values (?)", [(1,), (2,), (3,), (4,), (5,)]) cur.execute("insert into test(i) values (null)") cur.execute("select avg(i) from test") print("avg: %f" % cur.fetchone()[0]) cur.execute("select stdev(i) from test") print("stdev: %f" % cur.fetchone()[0])
When you run this code, it should print
avg: 3.000000 stdev: 1.581139
Comparison with MySQL implementation: http://sqlfiddle.com/#!2/ad42f3/3/0