Given a matrix (list of lists)
and a list
Each row j (0 <= j <= 2) of A consists of y-values so that 3 straight lines in total can be created in combination with x.
Now I want to plot these straight lines in the same plot with a special feature. If the user clicks on the graphic, an event handler should receive the x-position and create another plot right below the first one. This plot should be 1D and only visualise the data of the column in A whose index is given by the x-position.
Example: A click on x = 1 should plot [1 4 9], x = 2 should plot [2 6 12] and so on.
I have already tried to add a subplot using figure1.add_subplot(211) for the first plots and `figure1.add_subplot(212) within the event handler and it also did not work.
Thanks in advance
A = [[1, 2, 3], [4, 6, 8], [9, 12, 15]]
and a list
x = [1, 2, 3].
Each row j (0 <= j <= 2) of A consists of y-values so that 3 straight lines in total can be created in combination with x.
Now I want to plot these straight lines in the same plot with a special feature. If the user clicks on the graphic, an event handler should receive the x-position and create another plot right below the first one. This plot should be 1D and only visualise the data of the column in A whose index is given by the x-position.
Example: A click on x = 1 should plot [1 4 9], x = 2 should plot [2 6 12] and so on.
I have already tried to add a subplot using figure1.add_subplot(211) for the first plots and `figure1.add_subplot(212) within the event handler and it also did not work.
import matplotlib.pyplot as plt A = [[1 2 3], [4 5 6], [7 8 9]] x = [1 2 3] figure1 = plt.figure() plt.plot(x, A[0]) plt.plot(x, A[1]) plt.plot(x, A[2]) def onclick(event): Y = [A[i][int(event.xdata)] for i in range(0, 3)] plt.plot(Y) figure1.canvas.mpl_connect('button_press_event', onclick)
Thanks in advance