Fix formatting

master
Chris Leaman 6 years ago
parent 6f0a5caa1f
commit be8efd89b8

@ -1,14 +1,15 @@
import pandas as pd
import os import os
from functools import partial
import fiona 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 LineString, Point
from shapely.geometry import shape from shapely.geometry import shape
from shapely.ops import transform 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): 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( project = partial(
pyproj.transform, pyproj.transform,
pyproj.Proj(init=in_coord_system), # source coordinate system pyproj.Proj(init=in_coord_system), # source coordinate system
pyproj.Proj(init=out_coord_system)) # destination coordinate system pyproj.Proj(init=out_coord_system)) # destination coordinate system
g2 = transform(project, g1) # apply projection g2 = transform(project, g1) # apply projection
return g2 return g2
@ -51,7 +52,7 @@ def get_slope(x, z, top_elevation, btm_elevation, method='end_points'):
:return: :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 = { end_points = {
'top': { '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) return -(z_top - z_btm) / (x_top - x_btm)
elif method == 'least_squares': 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_x = np.array(x)[profile_mask].tolist()
profile_z = np.array(z)[profile_mask].tolist() profile_z = np.array(z)[profile_mask].tolist()
slope, _, _, _, _ = stats.linregress(profile_x, profile_z) slope, _, _, _, _ = stats.linregress(profile_x, profile_z)
return -slope 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 Returns the distance at whjch a line drawn from a lat/lon at an orientation intersects a line stinrg
:param lat: :param lat:
@ -106,12 +107,12 @@ def distance_to_intersection(lat,lon,orientation,line_strings):
:param line_string: :param line_string:
:return: :return:
""" """
start_point = Point(lon,lat) start_point = Point(lon, lat)
start_point = convert_coord_systems(start_point) start_point = convert_coord_systems(start_point)
distance = 1000 # m look up to 1000m for an intersection distance = 1000 # m look up to 1000m for an intersection
new_point = Point(start_point.coords.xy[0]+distance*np.cos(np.deg2rad(orientation)), 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))) start_point.coords.xy[1] + distance * np.sin(np.deg2rad(orientation)))
profile_line = LineString([start_point, new_point]) profile_line = LineString([start_point, new_point])
# Check whether profile_line intersects with any lines in line_string # 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. # If no intersections are found, return nothing.
return None return None
def get_sites_dune_crest_toe(): def get_sites_dune_crest_toe():
data_folder = './data/interim' 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 # Import
for f in ['./data/raw/profile_features/dune_crests.shp']: for f in ['./data/raw/profile_features/dune_crests.shp']:

Loading…
Cancel
Save