initialize moduules

modules/wavacc.py

@@ -1,13 +1,37 @@
 import sys, os, math, time
 import numpy as np
 import pandas as pd
+import scipy as sp
 '''
 wavacc.py for interpolate accelerometer data and extract feature as stroke.
 Denosing step is not implemented this module. See addValidDetection function in coordsi.py for denoising.
 '''
-def interpolation(df):
+def openDataframe(path):
     try:
-        #implement data here
+        handletracedf = pd.read_csv(path)
+        return handletracedf
+        #implement open dataframe here
+    except Exception as e:
+        print(e)
+
+def interpolation(dataframe, ):
+    '''
+    1. (frame, isValid, acc)
+    2. scatter plot of acc if isValid == 1
+    3. interpolate acc of isValid == 1.
+    '''
+    try:
+        df = dataframe
+        frame = list(df.index.values)
+        acc = pd.Series.tolist(df['acceleration'])
+        val = pd.Series.tolist(df['isValid'])
+
+        merged = []
+        for i in range(0, len(val)):
+            merged.append([frame[i], val[i], acc[i]])
+        return merged
+
+        pass
     except Exception as e:
         print(e)
         return df
@@ -15,6 +39,7 @@ def interpolation(df):
 def decomposition(df):
     try:
         #implemnet decompositino with wavelet transform here
+        pass
     except Exception as e:
         print(e)
         return df
@@ -22,6 +47,7 @@ def decomposition(df):
 def getStroke(df):
     try:
         #implement get stroke here
+        pass
     except Exception as e:
         print(e)
         return df
@@ -29,6 +55,7 @@ def getStroke(df):
 def mergeToDataFrame(df):
     try:
         #implement merge to dataframe here
+        pass
     except Exception as e:
         print(e)
         return df