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() 
