I have a row vector showing x coordinates
x=[1,5,7,3]
and I have a matrix
y=[[1,2,3,4],[2,3,1,4],[1,2,2,1],[2,3,1,1]]
whose rows represent the scatter of a variable at the corresponding x coordinate.
I want to make a scatter plot of this, i.e. for each x, there are 4 different y values, which I want to plot. Is there a way?
Thanks @User3100115
Fidgeting around I also found another solution, maybe not as efficient as @User3100115
x=[1,5,7,3]
y=[[1,2,3,4],[2,3,1,4],[1,2,2,1],[2,3,1,1]]
er=np.ones(4)
k=0
while k<4:
e=x[k]*er
plt.scatter(e,y[k])
plt.draw()
k+=1
plt.show()
You can do this using itertools.cycle and zip
from itertools import cycle
import matplotlib.pyplot as plt
x = [1,5,7,3]
y = [[1,2,3,4], [2,3,1,4], [1,2,2,1], [2,3,1,1]]
for i in zip(x, y):
b = zip(*(zip(cycle([i[0]]), i[1])))
plt.scatter(*b)
plt.show()
Then your plot looks like this:
import matplotlib.pyplot as plt
x=[1,5,7,3]
y=[[1,2,3,4],[2,3,1,4],[1,2,2,1],[2,3,1,1]]
for yy in y:
plt.scatter(x,yy)
plt.show()
