matplotlib - how to draw a new plot in a loop in the same window - matplotlib

Question

I use the below code. This comes up with three different windows. I would like the plot to show up in the same window. Any ideas?
Thanks
--
ps: clarification. I would like to see the curve of y[0] vs x[0] first then it erased and see y[1] vs x[1] and then it erased and see y[2] vs x[2]. Right now it is showing all three with three different colors. See second chunk of code.
--
import numpy
from matplotlib import pyplot as plt
x = [1, 2, 3]
plt.ion() # turn on interactive mode, non-blocking `show`
for loop in range(0,3):
y = numpy.dot(x, loop)
plt.figure() # create a new figure
plt.plot(x,y) # plot the figure
plt.show() # show the figure, non-blocking
_ = input("Press [enter] to continue.") # wait for input from the
import numpy
import matplotlib.pyplot as plt
%matplotlib notebook
x = [[1, 2, 3], [4,5,6], [7,8,9]]
y = [[1,4,9], [16,25,36], [49,64,81]]
fig, ax = plt.subplots()
plt.ion()
plt.show()
for i in range(3):
ax.plot(x[i],y[i]) # plot the figure
plt.gcf().canvas.draw()
_ = input("Press [enter] to continue.") # wait for input from the

Answer 1

This should help you with the problem. Notice the use of plt.show() outside the loop. plt.show() starts an event loop, checks for the currently active figure objects, and opens a display window.
import numpy
%matplotlib notebook
import matplotlib.pyplot as plt
x = [1, 2, 3]
fig, ax = plt.subplots()
plt.ion()
plt.show()
for loop in range(0,3):
y = numpy.dot(x, loop)
line,=ax.plot(x,y) # plot the figure
plt.gcf().canvas.draw()
line.remove()
del line
_ = input("Press [enter] to continue.") # wait for input from the