rawmerger: write_table_all() for direct csv output of merged table

cyt/raw_meat.pxd

@@ -33,3 +33,5 @@ cdef extern from "../lib/rawmerge.hpp":
         vector[double] get_channel(int)
         # get total merged time series
         vector[double] get_time_series()
+        # dump all channels to .csv
+        void write_table_all(const char*,char)

cyt/raw_meat.pyx

@@ -53,3 +53,6 @@ cdef class rawmerger:
 
     def get_time_series(self):
         return self.rawit.get_time_series()
+
+    def write_table_all(self, const char* csvfile, char delimiter):
+        return self.rawit.write_table_all(csvfile,delimiter)

lib/rawmerge.hpp

@@ -296,7 +296,7 @@ public:
   }
 
   // print all data to file
-  void write_table(std::string filename, char delimiter = ',', int precision = 6, int width = 25)
+  void write_table_all(std::string filename, char delimiter = ',', int precision = 6, int width = 25)
   {
     // if at least one channel including its time series is present
     if ( timeseries_.size() > 0 && channels_.size() > 0 )

pyt/example.py

@@ -83,6 +83,9 @@ for rf in rawlist :
 # show summary of successfully merged channels
 print("\nmerged channels:\n")
 
+# write merged table to .csv output
+eatmea.write_table_all('allchannels.csv'.encode(),ord(','))
+
 # get number of successfully merged channels and their names (+units)
 numch = eatmea.get_num_channels()
 chnames = [chnm.decode(encoding='UTF-8',errors='ignore') for chnm in eatmea.get_channel_names()]
@@ -118,6 +121,6 @@ pq.write_table(pyarwtab,'allchannels.parquet',compression='BROTLI')  # compressi
 # try to read and decode the .parquet file
 df = pq.read_table('allchannels.parquet')
 print(df.to_pandas())
-df.to_pandas().to_csv('allchannels.csv',index=False,encoding='utf-8',sep=",")
+# df.to_pandas().to_csv('allchannels.csv',index=False,encoding='utf-8',sep=",")
 
 #-----------------------------------------------------------------------------#