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MAOI_latestversion.py
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MAOI_latestversion.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 15 09:58:05 2020
@author: tychobovenschen
"""
from IPython import get_ipython
get_ipython().magic('reset -sf')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import time
import pickle
import datetime
from MAOI_function_latestversion import filterdata
from LoctoVel import LoctoVel
filenr = ['S4','SHR','S7','S8'] #The numbers of the stations
#Loop over the stations
for nr in range(len(filenr)):
filename = 'Data/Ktransect-'+filenr[nr]+'_input.txt' #name of input file
##### Parameters for the filtering:######
threshold_lon = 2e-6
threshold_lat = 2e-6
window_std = 60 #window of rolling standard deviation
obs_nr = 4
#
# filterdata(obs_nr, filename, threshold_lon, threshold_lat, window_std)
# Load saved files:
file_rollingStd = open(filename+'RollingStd.pkl','rb')
RollingStd = pickle.load(file_rollingStd)
file_rollingStd.close()
file_Data = open(filename+'DataPerYear.pkl', 'rb')
Data = pickle.load(file_Data)
file_Data.close()
#Plot the location data:
plt.figure()
for key in Data.keys():
plt.scatter(Data[key]['lon'][50:-50],Data[key]['lat'][50:-50],s=4, label= key) # Laatste punt is bijna altijd slecht omdat RollingStd wordt berekend tot eind-1 dus in plot ook alles tot eind-1
plt.xlabel('Degrees longitude')
plt.ylabel('Degrees latitude')
plt.title('K-Transect ' + str(filenr[nr]) + ', threshold = '+str(threshold_lat))
plt.ticklabel_format(useOffset=False, style='plain')
plt.legend()
plt.show()
#Calculate velocities using function LoctoVel
velocity_all = LoctoVel(Data,filename,240,240,plot=False)