usage_and_exit()
# get initial data from db
x_values, y_values = insert_data(input_file, MYDB)
# plot initial data
pylab.subplot(2, 1, 1)
pylab.axhline() # draw line for y-coord 0
plot_data(x_values, y_values, color='red', label='Initial data')
dump_data_in_range(input_file, MYDB, x_values, y_values)
if DO_SPLINE:
# calculate spline
plot_data(x_values, y_values, color='red', label='Initial')
x_values, y_values = do_spline(x_values, y_values)
plot_data(x_values, y_values, color='green', label='Splined')
# recenter using X_0. If X_0 = None, the recenter is not applied.
result = recenter(x_values, y_values)
if result is not None:
x_values, y_values = result
pylab.subplot(2, 1, 2)
pylab.axhline() # draw line for y-coord 0
plot_data(x_values, y_values, color='green', label='Recentered')
# calculate positive and negative integrals
pos, neg = diff_integrate(x_values, y_values)
# dump results to db with some sort of comment
dump_data(input_file, MYDB, [float(pos)], [float(neg)],
"Integrals positive and negative")
# show all the plots
pylab.show()
params['t1'] = "file:%s:0:0" %(FILE_1)
params['i2'] = "file:%s:0:1" %(FILE_2)
params['t2'] = "file:%s:0:0" %(FILE_2)
params['i3'] = "file:%s:0:1" %(FILE_3)
params['t3'] = "file:%s:0:0" %(FILE_3)
params['i4'] = "file:%s:0:1" %(FILE_4)
params['t4'] = "file:%s:0:0" %(FILE_4)
# Set the variable values according to the given params
i_values1 = get_values_from(params['i1'], format='csv')
t_values1 = get_values_from(params['t1'], format='csv')
i_values2 = get_values_from(params['i2'], format='csv')
t_values2 = get_values_from(params['t2'], format='csv')
i_values3 = get_values_from(params['i3'], format='csv')
t_values3 = get_values_from(params['t3'], format='csv')
i_values4 = get_values_from(params['i4'], format='csv')
t_values4 = get_values_from(params['t4'], format='csv')
it_values = [(i_values1, t_values1, FILE_1), (i_values2, t_values2, FILE_2), (i_values3, t_values3, FILE_3),
(i_values4, t_values4, FILE_4)]
#drop into the db
map(dump_data(it_values[3], MYDB, it_values[0], it_values[1], ABOUT), it_values)
# Cyclic Voltammetry
cv_data1 = zip(t_values1, i_values1)
cv_data2 = zip(t_values2, i_values2)
cv_data3 = zip(t_values3, i_values3)
cv_data4 = zip(t_values4, i_values4)
