seumasmorrison

# -*- coding: utf-8 -*-
"""
Created on Tue Oct 21 15:49:56 2014

@author: le12jm
"""

import os
import numpy as np
import matplotlib.cm as cm

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import pandas as pd
from datetime import datetime

def month_his_to_df(his_file_path, resample=True):
    his_columns = ['date_time', 'Tp', 'dirp', 'sprp', 'Tz', 'Hm0', 'TI', 'T1', 
                   'Tc', 'Tdw2', 'Tdw1', 'Tpc', 'nu','eps','QP','Ss','TRef',
                   'TSea','Bat']
    month_dataframe = pd.io.parsers.read_csv(his_file_path, names = his_columns)
    date_time_array = []
    for date_time_string in month_dataframe['date_time'].values:

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import pandas as pd
import datetime
import os

def make_raw_files(path_to_raw_df, output_folder):
    raw_df = pd.read_pickle(path_to_raw_df)
    os.chdir(output_folder)
    timestamp = datetime.datetime(2013,2,1,0,17,59)
    half_hour_delta = datetime.timedelta(0,1800)
    final_timestamp = datetime.datetime(2013,2,28,23,48)

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from shapely.geometry import mapping
from shapely.ops import polygonize
import fiona

def polyline_to_polygon(input_file, output_file):
    polylines = fiona.open(input_file)
    geom = [x['geometry'] for x in polylines]
    coords = [x['coordinates']for x in geom[:-1]]
    schema = {'geometry': 'Polygon','properties': {'id': 'int'}}
    with fiona.open(output_file, 'w', 'ESRI Shapefile', schema) as c:

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# translate_multipoint

# Translation of Shapefile record geometries in a functional style.

from fiona import collection
from functools import partial
from itertools import imap
import logging

log = logging.getLogger()

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import LatLon
import pandas as pd
import re

leica_points = pd.read_csv('D://project_3.csv',names=['id','type','timestamp','Latitude','Longtitude','Height','Quality'])
coords = []
chars = '[\xb0\'"]'
for index, row in leica_points.iterrows():
    lat_dmds = re.sub(chars,'',row.Latitude)
    long_dmds = re.sub(chars,'',row.Longtitude)

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# -*- coding: utf-8 -*-
"""
Created on Fri Feb 06 14:38:11 2015

@author: le12jm
"""

from datetime import datetime
#from hebtools.common import wave_power
import glob

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import LatLon
import pandas as pd
import re
 
# Function for importing Leica Geo Office created comma separated variables
# files from post processed data, decimal seconds coordinates are converted
# to decimal degrees. 
 
def read_lgo_csv_decimal_seconds_to_decimal_degrees(input_file, output_file):
    cols = ['id','type','timestamp', 'Latitude', 'Longtitude', 'Height',

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import sys

# Be safe and define a maximum of frames we're trying to walk up
MAX_FRAMES = 20

def save_to_interactive(dct):
    n = 0
    # Walk up the stack looking for '__name__'
    # with a value of '__main__' in frame globals
    for n in range(MAX_FRAMES):

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{'datetime':'Timestamp: date and time (ISO8601)',
'Tp': 'the peak period (the reciprocal of the peak frequency) [s]',
'Dirp': 'the wave direction at the peak frequency [°]',
'Sprp': 'the directional spread at the peak frequency [°]',
'Tz': 'the zero-upcross period [s]',
'Hs': 'the significant wave height [cm]',
'TI': 'the integral period, or Tm(-2,0) [s]',
'T1': 'the mean period, or Tm(0,1) [s]',
'Tc': 'the crest period, or Tm(2,4) [s]',
'Tdw2': 'wave period Tm(-1,1) [s]',