import numpy as np
import os,sys
import LNC_tools_v2 as LNC
#----------------------------------------------------------------------------
#Uses tools created in LNC_tools to open all files in a folder and resample
#them to a regular spacing in altitude/date the concatenates them into one
#pandas dataframe and plots it using LNC_plot
#July 05, 2012
#----------------------------------------------------------------------------
olddir = os.getcwd()
#os.chdir('K:\CORALNet\Data\ASCII Files')
newdir = LNC.set_dir('Select Event Folder')
os.chdir(newdir)
files = os.listdir(newdir)
maskfiles = []
datafiles = []
procfiles = []
rawfiles = []
#set altitude range and date step sizes
altrange = np.arange(10,8010,10)#meters
timestep = '120S' #seconds
#set buffer around backscatter ratio of 1 for mask
import os, sys
import LNC_tools_v2 as LNC
import LNC_plot_v1 as LNCplot
#----------------------------------------------------------------------------
#Uses tools created in LNC_tools to open all files in a folder and resample
#them to a regular spacing in altitude/date the concatenates them into one
#pandas dataframe and plots it using LNC_plot
#July 05, 2010
#----------------------------------------------------------------------------
olddir = os.getcwd()
#os.chdir('C:\Users\User\Documents\CORALNet\Data\ASCII Files')
newdir = LNC.set_dir('Select Event Folder')
os.chdir(newdir)
files = os.listdir(newdir)
maskfiles = []
datafiles = []
procfiles = []
rawfiles = []
#set altitude range and date step sizes
altrange = np.arange(10, 15010, 10) #meters
timestep = '120S' #seconds
#check to see if each file has been processed before and separate processed
