comparison predict/rtts_plot.py @ 67:96a827962750 draft

Uploaded updated scripts, removed *.pyc and .DS_Store

66:d2817a631a7b

#!/usr/bin/env python
#Make a plot of reactivity distribution

import sys
import numpy as np
import matplotlib
from pylab import *
import math

    ax.set_xticks(np.arange(0,upmax,intervel*tail))
    print(np.arange(0,upmax,intervel*tail))
    ax.set_xticklabels(np.arange(0,upmax,intervel*tail))

    ax.set_title(id_s+" reactivity distribution")
    savefig(path+id_s+'.tif')



    
    

67:96a827962750

#!/usr/bin/env python
#Make a plot of reactivity distribution

import sys
import os
import numpy as np
import matplotlib
from pylab import *
import math

    ax.set_xticks(np.arange(0,upmax,intervel*tail))
    print(np.arange(0,upmax,intervel*tail))
    ax.set_xticklabels(np.arange(0,upmax,intervel*tail))

    ax.set_title(id_s+" reactivity distribution")
    savefig(os.path.join(path, id_s+'.tif'))