From be8efd89b81be737a66f7897114888e2afb1e91a Mon Sep 17 00:00:00 2001
From: Chris Leaman <ckleaman@gmail.com>
Date: Sun, 11 Nov 2018 12:37:08 +1100
Subject: [PATCH] Fix formatting

---
 src/data/profile_features.py | 34 ++++++++++++++++++----------------
 1 file changed, 18 insertions(+), 16 deletions(-)

diff --git a/src/data/profile_features.py b/src/data/profile_features.py
index f3da959..31ad583 100644
--- a/src/data/profile_features.py
+++ b/src/data/profile_features.py
@@ -1,14 +1,15 @@
-import pandas as pd
 import os
+from functools import partial
+
 import fiona
+import numpy as np
+import pandas as pd
+import pyproj
+from scipy import stats
 from shapely.geometry import LineString, Point
 from shapely.geometry import shape
 from shapely.ops import transform
-import pyproj
-from functools import partial
-import numpy as np
-from scipy.interpolate import interp1d
-from scipy import stats
+
 
 def shapes_from_shp(shp_file):
     """
@@ -33,8 +34,8 @@ def convert_coord_systems(g1, in_coord_system='EPSG:4326', out_coord_system='EPS
     """
     project = partial(
         pyproj.transform,
-        pyproj.Proj(init=in_coord_system), # source coordinate system
-        pyproj.Proj(init=out_coord_system)) # destination coordinate system
+        pyproj.Proj(init=in_coord_system),  # source coordinate system
+        pyproj.Proj(init=out_coord_system))  # destination coordinate system
 
     g2 = transform(project, g1)  # apply projection
     return g2
@@ -51,7 +52,7 @@ def get_slope(x, z, top_elevation, btm_elevation, method='end_points'):
     :return:
     """
 
-    profile_line = LineString([[x,z] for x,z in zip(x,z)])
+    profile_line = LineString([[x, z] for x, z in zip(x, z)])
 
     end_points = {
         'top': {
@@ -88,14 +89,14 @@ def get_slope(x, z, top_elevation, btm_elevation, method='end_points'):
         return -(z_top - z_btm) / (x_top - x_btm)
 
     elif method == 'least_squares':
-        profile_mask = [True if end_points['top']['x'] < pts < end_points['btm']['x'] else False for pts in x ]
+        profile_mask = [True if end_points['top']['x'] < pts < end_points['btm']['x'] else False for pts in x]
         profile_x = np.array(x)[profile_mask].tolist()
         profile_z = np.array(z)[profile_mask].tolist()
         slope, _, _, _, _ = stats.linregress(profile_x, profile_z)
         return -slope
 
 
-def distance_to_intersection(lat,lon,orientation,line_strings):
+def distance_to_intersection(lat, lon, orientation, line_strings):
     """
     Returns the distance at whjch a line drawn from a lat/lon at an orientation intersects a line stinrg
     :param lat:
@@ -106,12 +107,12 @@ def distance_to_intersection(lat,lon,orientation,line_strings):
     :param line_string:
     :return:
     """
-    start_point = Point(lon,lat)
+    start_point = Point(lon, lat)
     start_point = convert_coord_systems(start_point)
 
-    distance = 1000 # m look up to 1000m for an intersection
-    new_point = Point(start_point.coords.xy[0]+distance*np.cos(np.deg2rad(orientation)),
-                      start_point.coords.xy[1]+distance*np.sin(np.deg2rad(orientation)))
+    distance = 1000  # m look up to 1000m for an intersection
+    new_point = Point(start_point.coords.xy[0] + distance * np.cos(np.deg2rad(orientation)),
+                      start_point.coords.xy[1] + distance * np.sin(np.deg2rad(orientation)))
     profile_line = LineString([start_point, new_point])
 
     # Check whether profile_line intersects with any lines in line_string
@@ -123,9 +124,10 @@ def distance_to_intersection(lat,lon,orientation,line_strings):
     # If no intersections are found, return nothing.
     return None
 
+
 def get_sites_dune_crest_toe():
     data_folder = './data/interim'
-    df_sites = pd.read_csv(os.path.join(data_folder, 'sites.csv'),index_col=[0])
+    df_sites = pd.read_csv(os.path.join(data_folder, 'sites.csv'), index_col=[0])
 
     # Import
     for f in ['./data/raw/profile_features/dune_crests.shp']: