I am trying from 2 days and I don't get a result. I have 3 thermometer and I repeat the measurement for 5 days. I have a file of 2 columns: the first is the thermometer number, the second is the value of the thermometer.
For example: 1 25 2 37 3 24 1 18 2 36 3 48 1 37 2 24 3 15 It is clear that every 3 rows, from the beginning, I have a day. Now I would like to make a 2D density plot like this http://stackoverflow.com/questions/4128699/using-scipy-stats-gaussian-kde-with-2-dimensional-data I just use the two columns of my file: # Create some dummy data rvs = np.append(X, Y, axis=1) instead of: # Create some dummy data rvs = np.append(stats.norm.rvs(loc=2,scale=1,size=(2000,1)), stats.norm.rvs(loc=0,scale=3,size=(2000,1)), axis=1) but i got this message: x_flat = np.r_[rvs[:,0].min():rvs[:,0].max():128j] IndexError: invalid index What is wrong? Of course I have not a very dense distribution, but a dense distribution along Y, but I would call "discrete" distribution along X. Could be nice having a bin, along X, of dimension 1. Thanks in advance! Anita. -- https://mail.python.org/mailman/listinfo/python-list
