Module backtrader.mathsupport
Expand source code
#!/usr/bin/env python
# -*- coding: utf-8; py-indent-offset:4 -*-
###############################################################################
#
# Copyright (C) 2015-2023 Daniel Rodriguez
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
###############################################################################
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import math
def average(x, bessel=False):
'''
Args:
x: iterable with len
oneless: (default ``False``) reduces the length of the array for the
division.
Returns:
A float with the average of the elements of x
'''
return math.fsum(x) / (len(x) - bessel)
def variance(x, avgx=None):
'''
Args:
x: iterable with len
Returns:
A list with the variance for each element of x
'''
if avgx is None:
avgx = average(x)
return [pow(y - avgx, 2.0) for y in x]
def standarddev(x, avgx=None, bessel=False):
'''
Args:
x: iterable with len
bessel: (default ``False``) to be passed to the average to divide by
``N - 1`` (Bessel's correction)
Returns:
A float with the standard deviation of the elements of x
'''
return math.sqrt(average(variance(x, avgx), bessel=bessel))
Functions
def average(x, bessel=False)
-
Args
x
- iterable with len
oneless
- (default
False
) reduces the length of the array for the division.
Returns
A float with the average of the elements of x
Expand source code
def average(x, bessel=False): ''' Args: x: iterable with len oneless: (default ``False``) reduces the length of the array for the division. Returns: A float with the average of the elements of x ''' return math.fsum(x) / (len(x) - bessel)
def standarddev(x, avgx=None, bessel=False)
-
Args
x
- iterable with len
bessel
- (default
False
) to be passed to the average to divide by
N - 1
(Bessel's correction)Returns
A float with the standard deviation of the elements of x
Expand source code
def standarddev(x, avgx=None, bessel=False): ''' Args: x: iterable with len bessel: (default ``False``) to be passed to the average to divide by ``N - 1`` (Bessel's correction) Returns: A float with the standard deviation of the elements of x ''' return math.sqrt(average(variance(x, avgx), bessel=bessel))
def variance(x, avgx=None)
-
Args
x
- iterable with len
Returns
A list with the variance for each element of x
Expand source code
def variance(x, avgx=None): ''' Args: x: iterable with len Returns: A list with the variance for each element of x ''' if avgx is None: avgx = average(x) return [pow(y - avgx, 2.0) for y in x]