def getPointsPath(x1,y1,x2,y2,step,width,height,p1=1,p2=1):
# start with empty path
path=[]
lastpoint=(-1,-1)
# calculate straight line distance between coords
delta_x=x2-x1
delta_y=y2-y1
delta_p=p2-p1
h=math.hypot(abs(delta_x),abs(delta_y))
# if distance between is too small, just return coord 2
if h < step*2:
path.append((x2,y2,p2))
return path
# calculate intermediate coords
intermediate_points=numpy.arange(step,h,step)
for point in intermediate_points:
newx=int(x1+(delta_x*point/h))
newy=int(y1+(delta_y*point/h))
newp=p1+(delta_p*point/h)
# make sure coords fall in widht and height restrictions
if newx>=0 and newx<width and newy>=0 and newy<height:
# only add point if it was different from previous one
if newx!=lastpoint[0] or newy!=lastpoint[1]:
lastpoint=(newx,newy,newp)
path.append(lastpoint)
if x2>=0 and x2<width and y2>=0 and y2<height:
path.append((x2,y2,p2))
return path
def getPointsPath(x1,y1,x2,y2,linestep,width,height,p1=1,p2=1): # start with a blank list path=[] lastpoint=(x1,y1) # calculate straight line distance between coords delta_x=x2-x1 delta_y=y2-y1 delta_p=p2-p1 h=math.hypot(abs(delta_x),abs(delta_y)) # calculate intermediate coords intermediate_points=numpy.arange(linestep,h,linestep) if len(intermediate_points)==0: return path pstep=delta_p/len(intermediate_points) newp=p1 for point in intermediate_points: newx=x1+(delta_x*point/h) newy=y1+(delta_y*point/h) newp=newp+pstep # make sure coords fall in widht and height restrictions if newx>=0 and newx<width and newy>=0 and newy<height: # make sure we don't skip a point #if step==0 int(newx)!=int(lastpoint[0]) and int(newy)!=int(lastpoint[1]): # print "skipped from point:", lastpoint, "to:", newx,newy # only add point if it was different from previous one #if int(newx)!=int(lastpoint[0]) or int(newy)!=int(lastpoint[1]): lastpoint=(newx,newy,newp) path.append(lastpoint) return path
def print_NumPy():
x = np.arange(12, 38)
#_*_encoding:utf-8_*_ #!/usr/bin/env python import NumPy as np a = np.arange(15).reshape(3, 5) print a
print(Z)
# Exercise 4
# How to get the documentation of the numpy add function
# from the command line
python -c "import numpy; numpy.info(numpy.add)"
# Exercise 5
# Create a null vector of size 10 but the fifth value which is 1
Z = np.zeros(10)
Z[4]=1
print(Z)
# Exercise 6
# Create a vector with values ranging from 10 to 49
Z = np.arange(10, 50)
print(Z)
# Exercise 7
# Reverse a vector (first element becomes last)
Z = np.arange(0,10)
Z[::-1]
# Exercise 8
# Create a 3 x 3 matrix with values ranging from 0 to 8
Z = np.arange(9)
Z.reshape(3,3)
# or
Z = np.arange(9).reshape(3,3)
print(Z)
