Fixed small errors

setup.py

@@ -2,10 +2,10 @@
 
 setup(name='wearablevar',
       packages = ['wearablevar'],
-      version='0.2',
+      version='0.3',
       description='Variability Metrics from Longitudinal Wearable Sensors',
       url='https://github.com/brinnaebent/wearablevar',
-      download_url = 'https://github.com/brinnaebent/wearablevar/archive/0.2.tar.gz',
+      download_url = 'https://github.com/brinnaebent/wearablevar/archive/0.3.tar.gz',
       author='Brinnae Bent',
       author_email='[email protected]',
       keywords = ['wearables', 'features', 'feature engineering'],

wearablevar/__init__.py

@@ -29,7 +29,7 @@
     '''
 
 
-def importe4(filename, f = '%Y-%m-%d %H:%M:%S.%f'):
+def importe4(filename, f='%Y-%m-%d %H:%M:%S.%f'):
     """
         Function for importing and formatting for use with other functions.
         Args:
@@ -44,7 +44,7 @@ def importe4(filename, f = '%Y-%m-%d %H:%M:%S.%f'):
     df = df.reset_index()
     return df
 
-def importe4acc(filename, f = '%Y-%m-%d %H:%M:%S.%f'):
+def importe4acc(filename, f='%Y-%m-%d %H:%M:%S.%f'):
     """
         Function for importing and formatting for use with other functions.
         Args:
@@ -98,7 +98,7 @@ def intradaycv(df):
     intradaycv = []
 
     for i in pd.unique(df['Day']):
-        intradaycv.append(interdaycv_(df[df['Day']==i]))
+        intradaycv.append(interdaycv(df[df['Day']==i]))
 
     intradaycv_mean = np.mean(intradaycv)
     intradaycv_median = np.median(intradaycv)