Skip to content

Instantly share code, notes, and snippets.

Embed
What would you like to do?
Numpy
## Let us consider an example in which we need to calculate the % of calories from carb, protein, fat in different foods
## Each colum represent to new food like col1-> food1(apple), col2-> food2(orange) , col3-> food3(banana) =, col4->food4(mango)
## Rows represent of as-: row1->carb ,row2->protein ,row3->fat
import numpy as np
A =np.array([[56.0,0.0,4.4,68.0],
[1.2,104.0,52.0,8.0],
[1.8,135.0,99.0,0.9]])
print(A)
#[Output]:
#[[ 56. 0. 4.4 68. ]
# [ 1.2 104. 52. 8. ]
# [ 1.8 135. 99. 0.9]]
## Matrix calculation to find out the
## axis=0 means columnwise
calc = A.sum(axis=0)
print(calc)
#[Output]:
#[ 59. 239. 155.4 76.9]
## Calculation of amount of percentage of carb, protein, fat present in food1, food2,food3,food4
## This division is possible because of broadcasting
per = 100*A/calc
print(per)
#[Output]:
#[[94.91525424 0. 2.83140283 88.42652796]
# [ 2.03389831 43.51464435 33.46203346 10.40312094]
# [ 3.05084746 56.48535565 63.70656371 1.17035111]]
print("Food1 i.e, Apple has",per[:,0])
#[Output]:
#Food1 i.e, Apple has [94.91525424 2.03389831 3.05084746]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
You can’t perform that action at this time.