line.set_markeredgewidth(1)
altticks(ax1, ydata, font = font)
ax1.set_ylabel('Altitude [m]', fontsize = font+4, labelpad = 15)
for line in ax1.yaxis.get_ticklines():
line.set_markersize(10)
line.set_markeredgewidth(1)
ax1.axis('tight')
fig.set_size_inches(figheight*ar,figheight)
plt.savefig(savetitle,dpi = 100, edgecolor = 'b', bbox_inches = 'tight')
plt.show()
if __name__ == '__main__':
import pandas as pan
import os
import LNC_tools_v2 as LNC
os.chdir('C:\Users\dashamstyr\Documents\CORALNet\ASCII Files')
filename = LNC.get_files('Select file to be plotted', filetype = ('.pickle','*.pickle'))
df = pan.load(filename[1:-1])
datetime = df.index
alt = df.columns
backscatter_plot(datetime, alt[::-1], df.T[::-1])
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
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
line.set_markeredgewidth(1)
altticks(ax1, ydata, font=font)
ax1.set_ylabel('Altitude [m]', fontsize=font + 4, labelpad=15)
for line in ax1.yaxis.get_ticklines():
line.set_markersize(10)
line.set_markeredgewidth(1)
ax1.axis('tight')
fig.set_size_inches(figheight * ar, figheight)
plt.savefig(savetitle, dpi=100, edgecolor='b', bbox_inches='tight')
plt.show()
if __name__ == '__main__':
import pandas as pan
import os
import LNC_tools_v2 as LNC
os.chdir('C:\Users\dashamstyr\Documents\CORALNet\ASCII Files')
filename = LNC.get_files('Select file to be plotted',
filetype=('.pickle', '*.pickle'))
df = pan.load(filename[1:-1])
datetime = df.index
alt = df.columns
backscatter_plot(datetime, alt[::-1], df.T[::-1])
