R2 input/output script [aka …Use R2! (continued)]

Following a very old post (link), and questions from Matthias and Kevin, I’ve finally managed to test the R2-related scripts I wrote long-long time ago…

I’m really sorry, but don’t quite have the time now to really document all functions/actions, but it should be quite straightforward. This script assumes you start from a ABEM S4K file, or with a ABEM AMP file converted using the command ‘s 4kconv.exe -F:a -z0 -x myinputfile.s4k’. If you have the S4K file, you should be able to convert is on the fly with the script (look for the “convert=False” flag). There are no fancy python imports, except the classic trio: numpy, scipy and matplotlib.

NOTE: there seems to be a problem with the os.spawnl() call to R2.exe within the code, I don’t quite know why for now. So, to run the test, I simply launched R2.exe in console and re-ran the python script to plot the results.

The ouptut of the test case should look like :

The scripts, thus, expects :

  • a data folder with
    • a .S4K of .AMP file
    • a .wgs84 file, N lines of ‘LON LAT ALT’, 1 per electrode
    • R2.exe
  • if you need to convert, a folder with the s4kconv.exe program

This code should really be improved to be more “dynamic”, if you edit/modify/improve it, please report back and I’ll update/add your contribution to this blog.

The full code and the example data files are present after the break !

The following files should be placed under a /data folder (and remember to copy the R2.exe to this folder too): data.rar

The full code  is:

#
import os
import datetime
import sys
from numpy import *
from matplotlib.pyplot import plot, show, scatter

class ResistivityData:
    def __init__(self):
        self.title = ''

    def ParseAMP(self, file):
        file = file[:-3] + 'AMP'
        f = open(file,'r')
        datalines = f.readlines()
        f.close()
        self.basefolder = os.path.split(file)[0]

        # read header
        file = os.path.basename(datalines[0].split(":",1)[1].strip())
        instrument_model, instrument_serial = datalines[1].split(":",1)[1].strip().split()
        date, time = datalines[2].split(":",1)[1].strip().split()
        day, month, year = [int(str) for str in date.split("/")]
        hours, mins, secs = [int(str) for str in time.split(":")]
        # date and time is sometimes completely off
        try:
            date_time = datetime.datetime(year, month, day, hours, mins, secs)
        except ValueError:
            print "Warning: date and/or time out of range!"
            S4Kfile = AMPfile[:-4] + '.S4K'
            if os.path.exists(S4Kfile):
                print "Using ctime of file %s" % S4Kfile
                ctime = os.path.getctime(S4Kfile)
            else:
                print "Using ctime of file %s" % AMPfile
                ctime = os.path.getctime(AMPfile)
            date_time = datetime.datetime.fromtimestamp(ctime)
        basestation_coords = datalines[3].split(":",1)[1].strip().split()
        header_rows, data_rows, topo_rows = [int(w) for w in datalines[4].split(":",1)[1].strip().split()]
        acquisition_mode = datalines[5].split(":",1)[1].strip()
        method = datalines[6].split(":",1)[1].strip()
        electrode_layout = int(datalines[7].split(":",1)[1].strip().split()[0])
        coordinate_type = datalines[8].split(":",1)[1].strip()
        dE = float(datalines[9].split(":",1)[1].strip())

        self.dE = dE

        PPlus = []
        PMinus = []
        CPlus = []
        CMinus = []
        Resist = []
        for i, line in enumerate(datalines[27:]):
            no, time, ax, ay, az, bx, by, bz, mx, my, mz, nx, ny, nz, i, v, r, error = line.split() 
#             print no, int(ax)+32, int(bx)+32, int(mx)+32, int(nx)+32, i, v, r, error
            p_plus = int(mx)+32
            p_minus = int(nx)+32
            c_plus = int(ax)+32
            c_minus = int(bx)+32
            r = float(r)
            PPlus.append(p_plus)
            PMinus.append(p_minus)
            CPlus.append(c_plus)
            CMinus.append(c_minus)
            Resist.append(r)
#             print no, p_plus, p_minus, c_plus, c_minus, r

        self.PPlus = PPlus
        self.PMinus = PMinus
        self.CPlus = CPlus
        self.CMinus = CMinus
        self.Resist = Resist

    def create_mesh(self):
        electrode_spacing = self.dE
        max_depth = 40.0
        layers_thickness = 1.0

        mesh_X_increment = electrode_spacing / self.split_factor

        ### MESH GENERATION :
        borders = array([1,1,1,1,1,1,1,2,4,5,10,25,50])
#         print sum(borders)
        before = borders[::-1]*mesh_X_increment
#         print before
        after = borders*mesh_X_increment
#         print after
        central = ones((self.num_electrodes*self.split_factor)+1-self.split_factor-1)*mesh_X_increment
#         print 'len central', len(central)
#         print 'central', central

        tempX = hstack((before,central,after[:-1]))
#         print 'len tempX', len(tempX)
#         print 'tempX', tempX
        old_value = -103.0 * mesh_X_increment # TO CHANGE !!

        meshX = []
        for value in tempX:
            old_value += value
            meshX.append(old_value)
#         print len(meshX), meshX

        bottom = array([2,2,2,2,2,2,2,2,4,8,10,20,50,100])
        depth = ones(max_depth / layers_thickness)
        tempY = hstack((depth,bottom))
        old_value = 0.0
        meshY = [old_value,]
        for value in tempY:
            old_value += value
            meshY.append(old_value)

        topog = zeros(len(meshX))

        num_of_elements = (len(meshX)-1)*(len(meshY)-1)

        self.meshX = meshX
        self.meshY = meshY
        self.topog = topog
        self.num_of_elements = num_of_elements

    def export_R2in(self):
        output = os.path.join(self.basefolder,'R2.in')
        output = open(output,'w')
        num_electrodes = self.num_electrodes
        split_factor = self.split_factor

        output.write("Header generated\n")
        output.write("\n")
        output.write("    1    4  3.0    0    1\n")
        output.write("\n")
        output.write("   %i    %i << numnp_x, numnp_y\n"  % (len(self.meshX),len(self.meshY)))
        output.write("\n")
        out = ""
        for i, value in enumerate(self.meshX):
            if i % 15 == 0:
                output.write("%s\n"% out)
                out = ""
            out += "%f\t"%value
        output.write("%s\n"% out)
        output.write("\n")
        out = ""
        for i, value in enumerate(self.topog):
            if i % 15 == 0:
                output.write("%s\n"% out)
                out = ""
            out += "%f\t"%value
        output.write("%s\n"% out)

        output.write("\n")
        out = ""
        for i, value in enumerate(self.meshY):
            if i % 15 == 0:
                output.write("%s\n"% out)
                out = ""
            out += "%f\t"%value
        output.write("%s\n"% out)
        output.write("""
            1 << num_regions
                 1      %i   100.000 << elem_1,elem_2,value    

              1    1  << no. patches in x, no. patches in z

              1  << inverse_type

              1    0 << data type (0=normal;1=log), regularization type

            1.0    10    2    1.0  << tolerance, max_iterations, error_mod, alpha_aniso

           0.00100   0.02000   -10000.0    10000.0  <<  a_wgt, b_wgt, rho_min, rho_max
          """ % (self.num_of_elements))

        electrode_indexes = linspace(0,num_electrodes*split_factor,num_electrodes+1)
        electrode_indexes += 13 + split_factor

        output.write("  %i << num_electrodes\n" % (num_electrodes))
        for i, value in enumerate(electrode_indexes[:-1]):
            output.write("%i\t%i\t%i\n" % (i+1, value, 1))

    def export_R2Protocoldat(self):
        output = os.path.join(self.basefolder,"protocol.dat")
        output = open(output,'w')
        output.write("%i\n" % len(self.Resist))
        i = 1
        for P,p,C,c,r in zip(self.PPlus,self.PMinus,self.CPlus,self.CMinus,self.Resist):
            output.write("%i\t%i\t%i\t%i\t%i\t%f\n" % (i, P,p,C,c,r))
            i+=1

    def add_topo(self,file=None):
        if file:
            f = open(file,'r')
            lines = f.readlines()
            f.close()
            Z = []
            for line in lines:
#                 ID, x, y, z = line.split()
                x, y, z = line.split()
                z = float(z)
                Z.append(z)

        x_old = linspace(1.,self.num_electrodes, self.num_electrodes)
        x_new = linspace(1.,self.num_electrodes, (self.num_electrodes*self.split_factor)+1-self.split_factor-1)

        if file:
            Z = array(Z)
            Z_new = interp(x_new,x_old,Z)
        else:
            Z_new = ones(len(x_new))*100.

        before = linspace(Z_new[0],Z_new[0],13)
        after =  linspace(Z_new[-1],Z_new[-1],12)
        Z_new = hstack((before,Z_new, after))

        before = linspace(-12,0,13)
        after = linspace(self.num_electrodes+1,self.num_electrodes+13, 13)
        x_new = hstack((before, x_new, after))

        self.topog = Z_new

class R2_Data:
    def __init__(self, num_electrodes, split_factor, dE):
        self.num_electrodes = num_electrodes
        self.split_factor = split_factor
        self.dE = dE
        self.title = ''

    def extract_topo(self, xin, yin, Rin,Show=False):
        #EXTRACT THE TOPOGRAPHY, hence THE Max yin for each xin
        last_xi = 9999
        Yi = []
        Xi = []
        for xi,yi in zip(xin,yin):
            if xi != last_xi:
                Yi.append(yi)
                Xi.append(xi)
                last_xi = xi

        topoy = array(Yi)
        topox = array(Xi)
        if Show:
            plt.scatter(xin,yin,marker='+')
            plt.scatter(topox,topoy)
            plt.grid(True)
            show()
        return topox, topoy

    def read_result(self,filename=None,title='UnNamedProfile',maxdepth=None):
        if filename:
            input = filename
        else:
            input = os.path.join(self.basefolder,"f001_res.dat")
        if not maxdepth:
            maxdepth = 40
        input = open(input,'r')
        lines = input.readlines()
        input.close()
        xin = []
        yin = []
        Rin = []
        for line in lines:
            x,y,r,logr = line[:-1].split()
            xin.append(float(x))
            yin.append(float(y))
            Rin.append(float(logr))

        from matplotlib.mlab import griddata
        from numpy import linspace
        from scipy import arange, array, meshgrid, ma

        from matplotlib import cm
        import matplotlib.pyplot as plt

        xin = array(xin)
        yin = array(yin)
        Rin = array(Rin)

        topox, topoy = self.extract_topo(xin, yin, Rin)

        xi = linspace(0.,(self.num_electrodes-1)*self.dE,250)
        # testing
        ymax = max(topoy)
        ymin = min(topoy) - maxdepth
        yi = linspace(ymin,ymax,maxdepth+1)
        xi2, yi2 = meshgrid(xi,yi)
        print 'yin', yin
        zi = griddata(xin,yin,Rin,xi2,yi2)
        print 'zi',zi
        extent = (min(xi),max(xi),min(yi),max(yi))
        plt.figure()
        ax = plt.subplot(111,aspect=2.5)
        sc = plt.imshow(zi, cmap=cm.jet,interpolation='bicubic',origin='lower',extent=extent,zorder=-10)
        cs = plt.contour(zi,origin='lower',extent=extent,colors='k',linewidths=0.25,antialiased=True,zorder=-5)
        plt.clabel(cs, fontsize=4, inline=1,fmt='%.1f')

#         print ax.get_units()

        x1 = topox[11:-11]
        y1 = topoy[11:-11]
        y2 = ones(len(topoy[11:-11]))*max(topoy)
        plt.fill_between(x1,y1+.05,y2,color='w',zorder=10)

        plt.fill_between(x1,y1-maxdepth-.5,color='w',zorder=-1,alpha=0.8)

        cb = plt.colorbar(sc, orientation="horizontal", spacing="uniform", format="%.1f",aspect=40,shrink=0.75)
        cb.set_label('log10(Resistivity (ohm.m))',fontsize=7)
#         plt.plot(linspace(0,max(xi),len(self.topog[13:-13])),self.topog[13:-13],'k-')
        plt.plot(x1,y1,'k-',zorder=60)
        for t in cb.ax.get_xticklabels():
            t.set_fontsize(6)
        if self.title == '':
            self.title = "Profile: " + title
        plt.title(self.title,fontsize=10, style='italic', weight='bold')
        plt.xticks(fontsize=5)
        plt.yticks(fontsize=5)
        plt.ylabel('Elevation (m)',fontsize=7)
        plt.xlabel('Distance (m)',fontsize=7)
        filename = os.path.join(self.basefolder,title + '.R2.PNG')
        plt.grid(color='k',linestyle=':',linewidth=0.3,alpha=0.9,zorder=2)
        plt.xlim(0,(self.num_electrodes-1)*self.dE)
        plt.ylim(min(yi),max(yi)+5)

        # plt.savefig(filename,dpi=200,orientation='landscape',papertype='a4')
        plt.savefig(filename,dpi=200)
        plt.show()
        # plt.clf()

def s4kconv(s4kfile):
    """
    Wrapper for SAS4000 S4KCONV program (DOS!)
    """
    """
    # convert path to DOS path using cygwin
    cmd = r'cygpath -d "%s"' % s4kfile.replace('\\', '/')
    stdin, stdout = os.popen2(cmd, 't')
    stdin.write('\n')
    stdin.close()
    dos_s4kfile = stdout.readline()
    dos_s4kfile = dos_s4kfile.strip()
    stdout.close()

    # convert program path to DOS as well
    cmd = r'cygpath -d "%s"' % os.path.join(SAS4000_DIR, "s4kconv.exe").replace('\\', '/')
    stdin, stdout = os.popen2(cmd, 't')
    stdin.write('\n')
    stdin.close()
    dos_s4kconv_path = stdout.readline()
    dos_s4kconv_path = dos_s4kconv_path.strip()
    stdout.close()
    """

    ## SAS4000 path

    SAS4000_DIR = os.path.abspath("./SAS4000")
    PROTOCOL_DIR = os.path.join(SAS4000_DIR, "C2P2")
    dos_s4kfile = s4kfile
    dos_ampfile = dos_s4kfile[:-4] + ".AMP"
    if os.path.exists(dos_ampfile):
        os.unlink(dos_ampfile)
    dos_s4kconv_path = os.path.join(SAS4000_DIR, "s4kconv.exe")

    #args = r'%s %s %s' % (dos_s4kconv_path, '-F:a', dos_s4kfile)
    #os.spawnle(os.P_WAIT, os.path.join(SAS4000_DIR, "s4kconv"), args, os.environ)
    os.spawnl(os.P_WAIT, os.path.join(SAS4000_DIR, "s4kconv.exe"), dos_s4kconv_path, '-F:a -z0 -x', dos_s4kfile)

    tmpfile = dos_ampfile[:-4] + ".TMP"
    ampfile = s4kfile[:-4] + ".AMP"
    os.rename(dos_ampfile, tmpfile)
    fin = open(tmpfile, 'r')
    fout = open(ampfile, 'w')
    lines = fin.readlines()
    fin.close()
    fout.write("Filename:                      %s\n" % os.path.split(s4kfile)[1])
    for line in lines[1:]:
        fout.write(line)
    fout.close()
    os.unlink(tmpfile)

def test_run():
    # file = r"c:\Vecquee01.s4k"
    file = os.path.abspath(r"data\20090806-1.AMP")
#     title = 'Crossing Railway - 2009-08-20'
    title = '20090806-1'
    has_topo = True
    work_on_AMP = True
    convert = False
    run = True

    num_electrodes = 128
    split_factor = 1.0
    dE = 5

    if work_on_AMP and convert:
        s4kconv(file)

    data = ResistivityData()

    data.num_electrodes = num_electrodes
    data.split_factor = split_factor
    data.dE = dE 

    if work_on_AMP:
        data.ParseAMP(file)
    else:
        # you have to define the arrays by providing the values :
    #     data.CMinus = array()
    #     data.CPlus = array()
    #     data.PMinus = array()
    #     data.PPlus = array()
    #     data.Resist = array()
        pass

    data.create_mesh() #is based on the topo file

    if has_topo:
        topo_file = file[:-3] + 'wgs84'
        data.add_topo(topo_file)

    data.export_R2Protocoldat()
    data.export_R2in()

    print "AT THIS POINT ; LAUNCH R2.EXE IN THE DATA FOLDER, THEN RERUN THIS SCRIPT TO PLOT THE RESULT"
    # if run:
        # os.chdir(os.path.split(file)[0])
        # print os.path.join(os.path.split(file)[0],'R2.exe')
        # os.spawnl(os.P_WAIT, os.path.join(os.path.split(file)[0],'R2.exe'))

    Result = R2_Data(num_electrodes=num_electrodes,split_factor=split_factor,dE=dE)

    if work_on_AMP:
        Result.basefolder = data.basefolder
        Result.read_result(title=title)
    else:
        #Result.read_result(filename="PATH_TO_ANOTHER_FILE",title=title)
        pass

if __name__ == "__main__":
    test_run()

5 thoughts on “R2 input/output script [aka …Use R2! (continued)]

  1. Hello!
    I am wondering to write such program I’m Matlab, but I dont understand what kind of data I should use for that, having dat file from field data only.
    Can you help me?

  2. Hi,

    No, I can’t help. First, I use only matlab when I need to translate code to Python, this program is fairly simple, but I’d suggest you go ahead and learn python, it’s much more fun ! Good luck !

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