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How To Do Math With Lists in python ?
We not only use lists to store a collection of values, but we also use it to perform some mathematical calculations or operations to do.
Example 1
import math
data = 21.6
print('The floor of 21.6 is:', math.floor(data))Output
The floor of 21.6 is: 21
How To Calculate the Weighted Average of a List
Example 2
cost = [0.424, 0.4221, 0.4185, 0.4132, 0.413] cases = [10, 20, 30, 40, 50] cost = [23, 10, 5, 32, 41] weight= [10, 20, 30, 40, 50] for i in range(len(cost)): cost[c] = (cost[i] * weight[i] / sum(weight)) cost = sum(cost) print(cost)
Output
72.84444444444445
Example 3
import math
degree = 180
radian = math.radians(degree)
print('The given angle is :', radian )
print('sin(x) is :', math.sin(radian ))
print('cos(x) is :', math.cos(radian ))
print('tan(x) is :', math.tan(radian ))
Output
The given angle is : 3.141592653589793 sin(x) is : 1.2246467991473532e-16 cos(x) is : -1.0 tan(x) is : -1.2246467991473532e-16
Following are the few Python Math Functions
- ceil(x):Returns the smallest integer value greater than or equal to x.
- copysign(x, y): Returns x with a sign of y
- fabs(x): Returns the absolute value of x
- factorial(x): Returns the factorial of x
- floor(x): Returns the largest integer less than or equal to x
- fmod(x, y): Returns a remainder when x is divided by y
- frexp(x): Returns a mantissa and exponent of x as the pair (m, e)
- fsum(iterable): Returns the accurate floating point sum of values in the iterable
- isfinite(x): Returns True if x is neither an infinity nor a NaN (Not a Number)
- isinf(x): Returns True if x is the positive or negative infinity
- isnan(x): Returns True if x is the NaN
- ldexp(x, i) : Returns x * (2**i)
- modf(x): Returns a fractional and integer parts of x
- trunc(x): Returns a truncated integer value of x
- exp(x) : Returns e**x
- expm1(x): Returns e**x – 1
- log(x[, base]): Returns the logarithm of x to the base (defaults to e)
- log1p(x) : Returns the natural logarithm of 1+x
- log2(x) : Returns the base-2 logarithm of x
Updated on: 30-Jul-2019
7K+ Views
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