timeseries_2varplot.py

#!/usr/bin/env

"""
 timeseries_2varplot.py

 History:
 --------
 2016-08-03: Initial development stage.  Plot single variable against time for EcoFOCI instruments
             Move netCDF tools to wrapper functions in class of module io_util.EcoFOCI_netCDF_read
"""
# System Stack
import datetime, sys, os
import argparse

# Science Stack
import numpy as np


# User Stack
from calc.EPIC2Datetime import EPIC2Datetime, get_UDUNITS
from plots.instrument_plot import Timeseries2varPlot
from io_utils.EcoFOCI_netCDF_read import EcoFOCI_netCDF

__author__ = "Shaun Bell"
__email__ = "shaun.bell@noaa.gov"
__created__ = datetime.datetime(2014, 9, 11)
__modified__ = datetime.datetime(2014, 9, 11)
__version__ = "0.1.0"
__status__ = "Development"
__keywords__ = "timeseries", "mooring", "epic", "netcdf"

"""-------------------------------- helper routines---------------------------------------"""


def is_in_dic(var, dic):
    for cmd_var in var:
        if not cmd_var in dic.keys():
            print("Epic Key {0} not in data file... exiting".format(cmd_var))
            sys.exit()


"""--------------------------------main Routines---------------------------------------"""

parser = argparse.ArgumentParser(description="Timeseries plotting")
parser.add_argument("DataPath", metavar="DataPath", type=str, help="full path to file")
parser.add_argument(
    "epickey",
    metavar="epickey",
    nargs="+",
    type=str,
    help="epic key codes of data parameters to plot",
)
parser.add_argument("instname", metavar="instname", type=str, help="instrument name")
parser.add_argument(
    "-fp",
    "--full_path",
    action="store_true",
    help="provides full path to program: used if run as script",
)

args = parser.parse_args()

# read in 1d data file
ncfile = args.DataPath
df = EcoFOCI_netCDF(args.DataPath)
global_atts = df.get_global_atts()
vars_dic = df.get_vars()
# check that variable is in data file and exit if not
is_in_dic(args.epickey, vars_dic)
ncdata = df.ncreadfile_dic()
df.close()
nctime = (
    get_UDUNITS(EPIC2Datetime(ncdata["time"], ncdata["time2"]), "days since 0001-1-1")
    + 1.0
)


# filter data to convert 1e35 -> np.nan
ncdata[args.epickey[0]][
    np.where(ncdata[args.epickey[0]][:, 0, 0, 0] >= 1e30), 0, 0, 0
] = np.nan
ncdata[args.epickey[1]][
    np.where(ncdata[args.epickey[1]][:, 0, 0, 0] >= 1e30), 0, 0, 0
] = np.nan

p1 = Timeseries2varPlot(plotstyle="k-")
try:
    t1 = p1.add_title(
        mooringid=global_atts["MOORING"],
        lat=ncdata["lat"][0],
        lon=ncdata["lon"][0],
        depth=ncdata["depth"][0],
        instrument=args.instname,
    )
except KeyError:
    t1 = p1.add_title(
        mooringid=global_atts["MOORING"],
        lat=ncdata["latitude"][0],
        lon=ncdata["longitude"][0],
        depth=ncdata["depth"][0],
        instrument=args.instname,
    )

plt1, fig1 = p1.plot(
    nctime,
    ncdata[args.epickey[0]][:, 0, 0, 0],
    ncdata[args.epickey[1]][:, 0, 0, 0],
    ylabel=args.epickey[0],
    ylabel2=args.epickey[1],
)


t = fig1.suptitle(t1)
t.set_y(0.06)

fig1.autofmt_xdate()
DefaultSize = fig1.get_size_inches()
fig1.set_size_inches((DefaultSize[0] * 2, DefaultSize[1]))

if not args.full_path:
    plt1.savefig(
        "images/" + ncfile.split("/")[-1] + ".png", bbox_inches="tight", dpi=(300)
    )
else:
    parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
    plt1.savefig(
        parent_dir
        + "/EcoFOCI_MooringAnalysis/images/"
        + ncfile.split("/")[-1]
        + ".png",
        bbox_inches="tight",
        dpi=(300),
    )

plt1.close()