# Riemann Sum Class (with variable endpoint behavior)

Here is my class for calculating a Riemann Sum. I did a cursory google search for a built-in function with these specifications but didn't find anything (I'm sure I just missed it or didn't look hard enough, but this is good practice).

Your input is welcome and appreciated. I'd like to not have to assign a lambda function to a variable but it works for me. I just worry that someone using this code may get confused.

from numpy import arange

class RiemannSum(object):

def __init__(self, index, upper, rectangles, func, endpoints='mid'):
"""
Constructor for base class for Riemann Sums.
Will be subclassed for left, right, or mid-points for rectangles.

:param index: Where to begin 'n' value. [n = index]
:param upper: Upper bound of sum.  Max 'n' value.  [Number above sigma notation]
:param rectangles: The number of rectangles to be used in the calculation.
:param func: pass series function here; suggest assigning lambda function to variable and passing here
:param endpoints: default to 'mid'. Valid values are 'mid', 'left', 'right' as strings
"""
self.total = 0
self.index = index
self.upper = upper
self.delta = (upper - index) / rectangles
self.function = func

if endpoints.lower() == 'left':  # left endpoints
self.points = arange(self.index, self.upper, self.delta)
elif endpoints.lower() == 'right':  # right endpoints
self.points = arange(self.index + self.delta, self.upper + self.delta, self.delta)
else:  # mid endpoints, usually most accurate
diff = self.delta / 2
self.points = [i for i in arange((self.index + diff),
(self.upper + diff), self.delta)]

def sum(self):
outputs = [i for i in map(self.function, self.points)]
self.total = sum(outputs)
return self.delta * self.total


Here is an example of the code in use:

from math import sqrt
series = sqrt(x) - 2
num = RiemannSum(1,6,5,series,'mid').sum()
print(num)

• I'm not clear of what you mean as far as "having" to assign a lambda function to a variable. Are you aware that functions can be passed just like any other parameter? For instance, if you do def square_it(x): return(x**2), then you can pass square_it as the func parameter. Also, docs.scipy.org/doc/scipy/reference/tutorial/integrate.html – Acccumulation Nov 30 '17 at 4:13
• Sorry for being unclear; I am aware that functions can e passed as arguments but just found it easier to assign a lambda function to variable when doing a bunch of problems in an online quiz. Each series would have to be defined as a function and since they were throw-away assignments (only for the quiz question) I just used lambda. I thought there would be an integrate SciPy, thanks! This was made for less accurate Riemann Sums which were, surprisingly, required for an online Calc 2 quiz. I figured I could possibly use it again in the future... – Hanzy Nov 30 '17 at 4:17

offset = {'left':0,'right':self.delta,'mid':self.delta/2}[self.endpoints.lower()]