add another wavelet transform script

src/wavelet_converter2.py

@@ -0,0 +1,61 @@
+import pywt
+import numpy
+import csv
+
+# setting CSV data directory
+DATA_DIR = "data/"
+
+# setting file
+import argparse
+parser = argparse.ArgumentParser(description = "")
+parser.add_argument('--target', required=True)
+args = parser.parse_args()
+t = args.target
+targetPath = DATA_DIR + t + ".csv"
+outputPath = DATA_DIR + t + "_wavelet.csv"
+
+# setting input file
+targetFile = open(targetPath, "r")
+csvReader = csv.reader(targetFile)
+print("DEBUG: TARGET FILE PATH:", targetPath)
+
+outputFile = open(outputPath, "w")
+csvWriter = csv.writer(outputFile, lineterminator='\n')
+print("DEBUG: OUTPUT FILE PATH:", outputPath)
+
+dateList = []
+waveletList = []
+rawList = []
+counter = 0
+for row in csvReader:
+    date, value = row[0], int(row[1])
+    dateList.append(date)
+    waveletList.append(value)
+
+    # after wavelet transform, value downsize to half size
+    if counter % 2 == 0:
+        rawList.append(value)
+    counter += 1
+
+waveletList = pywt.dwt(waveletList, "db3")[0]
+s = sum(waveletList)
+offset = 500 - (s / len(waveletList))
+print("DEBUG: OFFFSET:", offset)
+waveletList  = waveletList + offset
+
+
+outList = []
+for d, r, w in zip(dateList, rawList, waveletList):
+    print(w - r)
+    outList.append((d, r, w))
+
+# write csv headers
+csvWriter.writerow(["timestamp", "raw_value", "wavelet_value"])
+csvWriter.writerow(["datetime", "int", "float"])
+csvWriter.writerow(["T", "", ""])
+
+# write main data
+csvWriter.writerows(outList)
+
+targetFile.close()
+outputFile.close()