yes you've got it. Thanks for the link. Just some days after posting this question i succeced and i found out the set_3d_proprierties function doing the magic. Here the clean code.
import matplotlib.pyplot as plt import numpy as np from mpl_toolkits.mplot3d import Axes3D t=np.linspace(0,10,1000) x=np.sin(t) y=np.cos(t) plt.ion() fig = plt.figure() ax = fig.gca(projection='3d') line, = ax.plot(x,y,t) for i in range(400): t=np.linspace(i,i+30,1000) ax.set_zlim(i,i+100) x=np.sin(t) y=np.cos(t) line.set_data(x,y) line.set_3d_properties(t) plt.draw() -- View this message in context: http://matplotlib.1069221.n5.nabble.com/2D-data-plotted-in-a-3D-plot-by-adding-time-flow-dimension-tp45468p45493.html Sent from the matplotlib - users mailing list archive at Nabble.com. ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users