add initial commit

data_loaders/csv_loader.py

@@ -5,8 +5,24 @@
 
 class CsvLoader(DataLoader):
 	def __init__(self, name, delimiter):
+		"""
+		Reads the given csv file
+
+		@type name: str
+		@param name: the name of the csv file
+		@type delimiter: str
+		@param delimiter: the delimiter separating the column names in the csv file
+		"""
+
 		self.name1 = name
 		self.delim = delimiter
 
 	def load(self):
+		"""
+		Reads the csv file into a dataframe
+
+		@rtype: Pandas DataFrame
+		@returns: the pandas dataframe containing the read data from the csv file
+		"""
+
 		return (pd.read_csv(self.name1, self.delim))

driver.py

@@ -1,6 +1,6 @@
 from abc import ABC, abstractmethod
 from processors.drop_close import DropClose
-from processors.outlier_removal import GaussOutlierRemoval
+from processors.outlier_removal import OutlierRemoval
 from processors.distance_calculator import DistanceCalculator
 from processors.step_range import StepRange
 from processors.processor import Processor
@@ -138,10 +138,10 @@
 file_ranger = StepRange(step_name = range_name, step_min = range_min, step_max = range_max, file = read_file)
 file_ranged = file_ranger.process()
 
-close_dropper = DropClose(dep_name = dep, d = distance_arr, tolerance = tol, file = file_ranged)
+close_dropper = DropClose(dep_name = dep, dist_arr = distance_arr, tolerance = tol, file = file_ranged)
 close_dropped = close_dropper.process()
 
-outlier_remover = GaussOutlierRemoval(tolerance = outlier_tol, user_name = user, file = close_dropped)
+outlier_remover = OutlierRemoval(tolerance = outlier_tol, user_name = user, file = close_dropped)
 outlier_removed = outlier_remover.process()
 
 distance = DistanceCalculator(lat_name = lat, long_name = lon, file = outlier_removed)