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])