pylab.xlabel('x')
pylab.ylabel('y')
pylab.savefig("../plots/matplot2std.png", dpi = 100)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='For test linealregression and standar desviation')
parser.add_argument("-f", "--file", dest="file", help='This option is used to pass the data file')
args = parser.parse_args()
myDB = Repositorio(MYDB)
#nos aseguramos de guardar en la db el archivo
values = myDB.insert_data(args.file)
#obtain de std of y values
desviation_y = do_std(values[1])
#dump into the db
myDB.dump_data(args.file, [None], [desviation_y], "std")
plot_data(values[1], r'$\sigma = %.18f $' %(desviation_y), "y_values and std")
#do the same with lineal regression
results_lineal = do_linealregression(values[0], values[1])
labels = ['slope', 'intercept', 'r_value', 'p_value']
for value, about in zip(results_lineal, labels):
myDB.dump_data(args.file, [None], [value], about)
filename = "../fileTest/liear_fit" + path.basename(args.file)
save_ascii(filename, labels, results_lineal)
pylab.show()
