# Re: specify line plot color

 Hi alberto, If I have correctly understood your wish, you may be looking for in [numpy.savetxt](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.savetxt.html) and [numpy.loadtxt](https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.loadtxt.html). This may not be really Matplotlib's field anymore, but please find attached a small example on how to record data into a flat text file and reload them. Hopefully this will helpful to you. Best regards, Adrien On 06/10/2018 08:30 AM, alberto wrote: > Hi, > I wrote days ago about script python > I would ask you if exist a way to print in a file the data of a plot > > this is my script > > > #!/usr/bin/env python > > > import numpy as np > import matplotlib.pyplot as plt > import sys > > #%% > # Temperature that we are interested in > target_T = 10.0 > #%% Load all condtens data > data = np.loadtxt("Pb8I28-MA-BISIMID_101010Kp_FR.condtens") > #%% Load trace data > data2 = np.loadtxt("Pb8I28-MA-BISIMID_101010Kp_FR.trace") > #print(data[:,1]) > #%% > # Select only the data points computed at that specific temperature > T = data[:, 1] > indices = (T == target_T) > #print(indices) > > #%%Fermi levels converted in electronvolts > Ef = 13.60 * data[indices, 0] > print(Ef) > > > #%% plot trace at T > Fermi_level = 4.44075 # (in eV) > > plt.figure() > labels = ("$\sigma$ / $tau$",) > for i, label in enumerate(labels): >      plt.plot((Ef - Fermi_level), data2[indices,(abs(5))], label=label) > plt.legend(loc="best") > plt.xlabel(r"Energy-Efermi [eV]") > plt.ylabel(r"$\sigma$/$\tau$ [$\Omega$ m s]") > plt.tight_layout() > plt.show() > > > #%% plot DOS(Ef) at T > > au_to_m = 5.291772083E-11 > V = 7670.7134 # a.u.^3 > m_el = 9.10938356E-31 #Kg > V_m3 = V*(au_to_m)**3 > print(V_m3) > > plt.figure() > labels = ("DOS",) > for i, label in enumerate(labels): >      plt.plot(Ef, data2[indices,(3)], label=label) > plt.legend(loc="best") > plt.xlabel(r"Ef [eV]") > plt.ylabel(r"n /($\mu)$ [e / m^3]") > plt.tight_layout() > plt.show() > > > #%% > # And recast as an array of 3x3 matrices for convenience > # Column numbers are easy to follow: 1 for Ef, 1 for T, 1 for N, 9 for > sigma, > # and then comes the Seebeck coefficient > sigma = data[indices, 3:12].reshape((-1, 3, 3)) > sys.stdout=open('prova.txt','wt') > print(sigma) > seebeck = data[indices, 12:21].reshape((-1, 3, 3)) > > # Plot the xx, yy and zz components as a function of the first column > plt.figure() > labels = ("xx", "yy", "zz") > for i, label in enumerate(labels): >      plt.plot(Ef, sigma[:, i, i], label=label) > plt.legend(loc="best") > plt.xlabel(r"Energy [eV]") > plt.ylabel(r"$\sigma$ [1/$\Omega$ m s]") > #plt.axis([4,8,-1,8]) > plt.tight_layout() > plt.show() > > > in particular I would write four columns with ef and xx yy zz in a > datafile.txt > > regards > > Alberto > > 2018-04-16 19:22 GMT+02:00 alberto <[hidden email] > >: > >     Hi, >     thank you so much for your help > >     Alberto > >     2018-04-16 18:58 GMT+02:00 [hidden email] >     <[hidden email] >     >: > >         Hi Alberto, > >         I now understand better. No need to flip you data then: you can >         actually explicitly specify the color that  you want in the >         plot function, with the *color* keyword argument. See the >         attached script that should hopefully help you to get what you want. > >         Best regards, >         Adrien > >         On 04/16/2018 09:20 AM, alberto wrote: > >             Hi vincet, > >             in my plot (see .png file) > >             I would invert the color > >             xx --> green >             zz--> blue > > > >             regards > >             Alberto > >             ​ >             Pb8I28-MA-PERF-BISIMID_32Kp_101010.condtens >                         > >             ​ > > > > _______________________________________________ Matplotlib-users mailing list [hidden email] https://mail.python.org/mailman/listinfo/matplotlib-users example_alberto.py (1K) Download Attachment for_alberto.pdf (17K) Download Attachment datafile.txt (818 bytes) Download Attachment