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#!/usr/bin/env python3
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt
import numpy as np
import re
import argparse
import datetime as dt
# ----------------------------------------------------------------------
# Function to parse input arguments
# ----------------------------------------------------------------------
def get_args_timeline():
parser = argparse.ArgumentParser(description =
'Post process and move model results')
parser.add_argument('-plotfile',
help = 'output file for plot',
default = 'timeline.png')
parser.add_argument('-vars',
help = 'var(s) to plot (e.g. -vars 0 or -vars 0 1 2',
default = [0], nargs = '+', type = int)
parser.add_argument('filelist', nargs='+', \
help = 'list files to use for generating plots')
args = parser.parse_args()
return args
# ----------------------------------------------------------------------
# Read space seperated file with header containing variable names
# ----------------------------------------------------------------------
def read_ssv_file(file):
data = {"times" : [],
'vars': [],
'alt' : 0.0,
"integral" : 'values',
"file": file}
fpin = open(file, 'r')
lines = fpin.readlines()
fpin.close()
vars = lines[0].split(' ')
if (vars[6] == 'milli'):
iOff = 7
else:
iOff = 6
data['vars'] = vars[iOff:]
nVars = len(data['vars'])
iStart = 1
iEnd = len(lines)
iLine = iStart
allValues = np.zeros((nVars, iEnd - iStart))
while (iLine < iEnd):
aline = lines[iLine].split(' ')
if ((len(aline) - iOff) == nVars):
year = int(aline[0])
month = int(aline[1])
day = int(aline[2])
hour = int(aline[3])
minute = int(aline[4])
second = int(aline[5])
if (iOff == 6):
milli = 0
else:
milli = int(aline[6])
t = dt.datetime(year, month, day, hour, minute, second, milli)
data["times"].append(t)
for iVar in range(nVars):
allValues[iVar, iLine - iStart] = float(aline[iOff + iVar])
iLine += 1
data['values'] = allValues
return data
# ----------------------------------------------------------------------
# Read file
# ----------------------------------------------------------------------
def read_timeline_file(file):
data = {"times" : [],
'vars': [],
'alt' : 0.0,
"integral" : 'values',
"file": file}
fpin = open(file, 'r')
lines = fpin.readlines()
iStart = 0
iEnd = len(lines)
iLine = iStart
while (iLine < iEnd):
line = lines[iLine]
m = re.match(r'#VAR',line)
if m:
# skip year, month, day, hour, minute, second:
if (lines[iLine+1].strip().lower() == 'year'):
iLine += 7
else:
iLine += 1
while (len(lines[iLine].strip()) > 1):
data["vars"].append(lines[iLine].strip())
iLine += 1
data['var'] = data["vars"][0]
m = re.match(r'#INTEGRAL',line)
if m:
iLine += 1
data["integral"] = lines[iLine].strip()
m = re.match(r'#ALTITUDE',line)
if m:
iLine += 1
data["alt"] = float(lines[iLine].strip())
m = re.match(r'#DIRECTORY',line)
if m:
iLine += 1
data["dir"] = lines[iLine].strip()
m = re.match(r'#START',line)
if m:
iStart = iLine + 1
break
iLine += 1
nVars = len(data['vars'])
nTimes = iEnd - iStart
allValues = np.zeros([nVars, nTimes])
for i in range(iStart, iEnd):
aline = lines[i].split()
year = int(aline[0])
month = int(aline[1])
day = int(aline[2])
hour = int(aline[3])
minute = int(aline[4])
second = int(aline[5])
t = dt.datetime(year, month, day, hour, minute, second)
data["times"].append(t)
for iVar in range(nVars):
allValues[iVar, i - iStart] = float(aline[6 + iVar])
data['values'] = allValues
return data
# ----------------------------------------------------------------------
# match filename with colors and linestyles
# ----------------------------------------------------------------------
def assign_var_to_color(var):
color = 'black'
line = 'solid'
label = file
m = re.match('.*GOCE.*', var)
if m:
color = 'black'
line = 'solid'
label = 'GOCE'
m = re.match('.*GITM.*', var)
if m:
color = 'blue'
line = 'solid'
label = 'GITM'
m = re.match('.*Smooth.*', var)
if m:
line = 'dashed'
label = label + ' (smoothed)'
return color, line, label
# ----------------------------------------------------------------------
# match filename with colors and linestyles
# ----------------------------------------------------------------------
def assign_file_to_color(file):
color = 'black'
line = 'solid'
label = file
m = re.match('gdcA.*', file)
if m:
color = 'black'
m = re.match('gdcB.*', file)
if m:
color = 'blue'
m = re.match('gdcC.*', file)
if m:
color = 'cyan'
m = re.match('gdcD.*', file)
if m:
color = 'purple'
m = re.match('gdcE.*', file)
if m:
color = 'orange'
m = re.match('gdcF.*', file)
if m:
color = 'red'
m = re.match(r'base', file)
if m:
color = 'black'
line = 'solid'
label = 'Idealized Model'
m = re.match(r'fre', file)
if m:
color = 'grey'
line = 'solid'
label = 'FRE Model'
m = re.match(r'ovation', file)
if m:
color = 'blue'
line = 'dashed'
label = 'Ovation'
m = re.match(r'avee_050', file)
if m:
color = 'darkblue'
line = 'dashed'
m = re.match(r'avee_075', file)
if m:
color = 'blue'
line = 'dashed'
m = re.match(r'avee_150', file)
if m:
color = 'firebrick'
line = 'dashdot'
m = re.match(r'avee_200', file)
if m:
color = 'red'
line = 'dashdot'
m = re.match(r'fta', file)
if m:
color = 'forestgreen'
line = 'dashed'
label = 'FTA Model'
m = re.match(r'ae', file)
if m:
color = 'plum'
line = 'dashed'
label = 'FRE, AE Power'
m = re.match(r'ions', file)
if m:
color = 'plum'
line = 'dashdot'
label = 'Ions'
m = re.match(r'.*no', file)
if m:
color = 'cyan'
label = 'NO Cooling'
m = re.match(r'.*ch', file)
if m:
color = 'red'
label = 'Chemical Heating'
m = re.match(r'.*ht', file)
if m:
color = 'blue'
label = 'Heat Transfer'
m = re.match(r'.*jh', file)
if m:
label = 'Joule Heating'
return color, line, label
# Needed to run main script as the default executable from the command line
if __name__ == '__main__':
args = get_args_timeline()
iVar = args.vars[0]
nFiles = len(args.filelist)
nVars = len(args.vars)
fig = plt.figure(figsize = (10,10))
ax = fig.add_subplot(111)
for file in args.filelist:
print("Reading file : ",file)
#data = read_timeline_file(file)
data = read_ssv_file(file)
nT = len(data["times"])-1
for iVar in args.vars:
label = data["vars"][iVar]
color = 'black'
line = '--'
if (nFiles > 1):
color,line,label = assign_file_to_color(file)
if (nVars > 1):
color,line,label = assign_var_to_color(data['vars'][iVar])
ax.plot(data["times"][:nT], data["values"][iVar,:nT], label = label,
color = color, linestyle = line, linewidth = 2.0)
iVar = args.vars[0]
ytitle = data["integral"] + " of " + data["vars"][iVar]
if (data["alt"] > 0):
ytitle += " at %5.1f" % data["alt"] + " km Alt"
ax.set_ylabel(ytitle)
ax.legend()
plotfile = args.plotfile
print('writing : ',plotfile)
fig.savefig(plotfile)
plt.close()