bump version 2.0.7, fix multichannel block-offset, issues #20 #15

* add python example multichannel.py

lib/imc_channel.hpp

@@ -318,16 +318,16 @@ namespace imc
     // convert buffer to actual datatype
     void convert_buffer()
     {
-      // TODO no clue how/if/when to handle buffer offset/mask/subsequent_bytes
-      // etc. and whatever that shit is!
       std::vector<imc::parameter> prms = blocks_->at(chnenv_.CSuuid_).get_parameters();
       if ( prms.size() < 4)
       {
         throw std::runtime_error("CS block is invalid and features to few parameters");
       }
+
+      // extract (channel dependent) part of buffer
       unsigned long int buffstrt = prms[3].begin();
-      std::vector<unsigned char> CSbuffer( buffer_->begin()+buffstrt+1,
-                                           buffer_->begin()+buffstrt+buffer_size_+1 );
+      std::vector<unsigned char> CSbuffer( buffer_->begin()+buffstrt+buffer_offset_+1,
+                                           buffer_->begin()+buffstrt+buffer_offset_+buffer_size_+1 );
 
       // determine number of values in buffer
       unsigned long int num_values = (unsigned long int)(CSbuffer.size()/(signbits_/8));

python/VERSION

@@ -1 +1 @@
-2.0.6
+2.0.7

python/examples/multichannel.py

@@ -0,0 +1,43 @@
+
+import IMCtermite
+import pandas
+import datetime
+
+def add_trigger_time(trigger_time, add_time) :
+    trgts = datetime.datetime.strptime(trigger_time,'%Y-%m-%dT%H:%M:%S')
+    dt = datetime.timedelta(seconds=add_time)
+    return (trgts + dt).strftime('%Y-%m-%dT%H:%M:%S:%f')
+
+if __name__ == "__main__" :
+
+    # read file and extract data
+    imctm = IMCtermite.imctermite(b"Measurement.raw")
+    chns = imctm.get_channels(True)
+    
+    # prepare abscissa
+    xcol = "time ["+chns[0]['xunit']+"]"
+    #xcol = "timestamp"
+    xsts = [add_trigger_time(chns[0]['trigger-time'],tm) for tm in chns[0]['xdata']]
+
+    # sort channels
+    chnnms = sorted([chn['name'] for chn in chns], reverse=False)
+    chnsdict = {}
+    for chn in chns :
+        chnsdict[chn['name']] = chn
+
+    # construct dataframe
+    df = pandas.DataFrame()
+    df[xcol] = pandas.Series(chns[0]['xdata'])
+    #df[xcol] = pandas.Series(xsts)
+    #for idx,chn in enumerate(chns) :
+    for chnnm in chnnms :
+        chn = chnsdict[chnnm]
+        #xcol = (chn['xname'] if chn['xname'] != '' else "x_"+str(idx))+" ["+chn['xunit']+"]"
+        #df[xcol] = pandas.Series(chn['xdata'])
+        ycol = chn['yname']+" ["+chn['yunit']+"]"
+        df[ycol] = pandas.Series(chn['ydata'])
+
+    # show entire dataframe and write file
+    print(df)
+    df.to_csv("Measurement.csv",header=True,sep='\t',index=False)
+