Question

python .

The two csv files will contain lines in the following format: Angle, time, speed - where each action will be specified as:

• A, t, s = Move at an angle of A degrees with respect to East direction (positive horizontal axis) for t seconds with speed s meters per second.

  

The function should return 3 numpy arrays:

• The expected horizontal displacements for each microcar

• The expected vertical displacements for each microcar

• The expected distances travelled by each microcar

All displacements and distances are to be presented in meters and rounded to 2 decimal places for the final returned lists. Keep the data rounded to at least 10 decimal places for all intermediate computations.

please make a code ignoring cvs files

Answer 1

import math
import numpy as np

# since you said to ignore the read of csv files i am ignoring it and doing the rest
# A,t,s as said in question and d is distance
# distance can be calculated normally i.e expected distance covered
d=s*t

#vd,vertical displacement is sin(theta) of d as python uses radians to compute everything we convert degree to radians
#hd,horizontal displacement is cos(theta) of d as  python uses radians to compute everything we convert degree to radians
hd=d*math.cos(math.radians(A))
vd=d*math.sin(math.radians(A))

#rounding off to 2 dec places

hd=round(hd,2)
vd=round(vd,2)
d=round(d,2)
ans=[hd,vd,d]

#we need to repeat this whole process for each row so i hope you know it as you said to ignore the csv file part
# so for each row in csv file repeat everything.

#since we are calculating for each row the numpy array would be a nd array so we make a list [ans] and append it to finals
#The axis is an optional integer along which define how the array is going to be displayed. 
# If the axis is not specified, the array structure will be flattened 


finalans = np.append(finalans, [ans], axis = 0)