Hi,
for reading the data files you could user np.loadtxt("filename").I'm not sure what kind of plot you want to create from this data, but probably you can find an appropriate plotting method on this page: http://matplotlib.org/mpl_toolkits/mplot3d/tutorial.html Max PS: Sorry for not sending my first mail to the list, but you can see it below Am 11/04/2013 04:54, schrieb Sayan Chatterjee: > Thanks Maximillian for your help. > > Could you please tell me how to surface plot with those data files using > Matplotlib?...i.e both reading the data files and then surface plotting > in matplotlib? > > Sayan > > > On 11 April 2013 02:25, Maximilian Trescher <fau...@trescher-it.de > <mailto:fau...@trescher-it.de>> wrote: > > Hi, > > > > *np.savetxt(fname, np.array([pp_za,pv_za]).T, '%f')* > > does maybe > > np.savetxt(fname, np.array([pp_za,pv_za, np.ones(1000)*t]).T, '%f') > does what you want? (replace 1000 with approppriate length) > > and a comment about: > > if pp_za[i] < 0: > > pp_za[i] = 2 - abs(pp_za[i]) > > if pp_za[i] > 2: > > pp_za[i] = pp_za[i] % 2 > > in general > > pp_za[pp_za < 0] = 2 - abs(pp_za[pp_za < 0]) > pp_za[pp_za > 2] = pp_za[pp_za > 2] % 2 > > is shorter and much faster. > > Max > > > > > > > -- > > > -------------------------------------------------------------------------- > *Sayan Chatterjee* > Dept. of Physics and Meteorology > IIT Kharagpur > Lal Bahadur Shastry Hall of Residence > Room AB 205 > Mob: +91 9874513565 > blog: www.blissprofound.blogspot.com <http://www.blissprofound.blogspot.com> > > Volunteer , Padakshep > www.padakshep.org <http://www.padakshep.org>
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