def main():
"""
NAME
upload_magic.py
DESCRIPTION
This program will prepare your PMAG text files created by the programs nfo_magic.py,
zeq_magic.py, thellier_magic.py, mag_magic, specimens_results_magic.py and so on.
it will check for all the MagIC text files and skip the missing ones
SYNTAX
upload_magic.py
INPUT
MagIC txt files
OPTIONS
-h prints help message and quits
-all include all the measurement data, default is only those used in interpretations
OUTPUT
upload.txt: file for uploading to MagIC database
"""
if '-h' in sys.argv:
print main.__doc__
sys.exit()
else:
dataframe = extractor.command_line_dataframe([['cat', False, 0], ['F', False, ''], ['f', False, '']])
checked_args = extractor.extract_and_check_args(sys.argv, dataframe)
dir_path, concat = extractor.get_vars(['WD', 'cat'], checked_args)
ipmag.upload_magic(concat, dir_path)
def main():
"""
NAME
upload_magic.py
DESCRIPTION
This program will prepare your PMAG text files created by the programs nfo_magic.py,
zeq_magic.py, thellier_magic.py, mag_magic, specimens_results_magic.py and so on.
it will check for all the MagIC text files and skip the missing ones
SYNTAX
upload_magic.py
INPUT
MagIC txt files
OPTIONS
-h prints help message and quits
-all include all the measurement data, default is only those used in interpretations
OUTPUT
upload.txt: file for uploading to MagIC database
"""
if '-h' in sys.argv:
print main.__doc__
sys.exit()
else:
dataframe = extractor.command_line_dataframe([['cat', False, 0],
['F', False, ''],
['f', False, '']])
checked_args = extractor.extract_and_check_args(sys.argv, dataframe)
dir_path, concat = extractor.get_vars(['WD', 'cat'], checked_args)
ipmag.upload_magic(concat, dir_path)
def main():
if "-h" in sys.argv:
help(__name__)
sys.exit()
if "-i" in sys.argv: # interactive
dir_path = "."
dataset, datasets, filenames = [], [], []
data_model = 3
while True:
infile=input('\n\n Enter magic files for combining, <return> when done: ')
if infile=='':
break
if os.path.isfile(infile):
filenames.append(os.path.realpath(infile))
else:
print("-W- You have not provided a valid filename.\nIf the file is not in your current working directory, you will need to provide the full path to the file")
outfile = input('\n\n Enter name for new combined file: ')
filenames = str(", ".join(filenames))
if not outfile:
return False
else: # non-interactive
dataframe = extractor.command_line_dataframe([["F", True, ''], ["dm", False, 3]])
args = extractor.extract_and_check_args(sys.argv, dataframe)
data_model, dir_path, outfile, filenames = extractor.get_vars(["dm","WD", "F", "f"], args)
combine(filenames,outfile,dir_path,data_model)
def main():
if "-h" in sys.argv:
help(__name__)
sys.exit()
if "-i" in sys.argv: # interactive
dir_path = "."
dataset, datasets, filenames = [], [], []
data_model = 3
while True:
infile = input(
'\n\n Enter magic files for combining, <return> when done: ')
if infile == '':
break
if os.path.isfile(infile):
filenames.append(os.path.realpath(infile))
else:
print(
"-W- You have not provided a valid filename.\nIf the file is not in your current working directory, you will need to provide the full path to the file"
)
outfile = input('\n\n Enter name for new combined file: ')
filenames = str(", ".join(filenames))
if not outfile:
return False
else: # non-interactive
dataframe = extractor.command_line_dataframe([["F", True, ''],
["dm", False, 3]])
args = extractor.extract_and_check_args(sys.argv, dataframe)
data_model, dir_path, outfile, filenames = extractor.get_vars(
["dm", "WD", "F", "f"], args)
combine(filenames, outfile, dir_path, data_model)
def main():
"""
NAME
k15_magic.py
DESCRIPTION
converts .k15 format data to magic_measurements format.
assums Jelinek Kappabridge measurement scheme
SYNTAX
k15_magic.py [-h] [command line options]
OPTIONS
-h prints help message and quits
-DM DATA_MODEL: specify data model 2 or 3 (default 3)
-f KFILE: specify .k15 format input file
-F MFILE: specify measurement output file
-Fsa SFILE, specify sample file for output
-Fa AFILE, specify specimen file for output [rmag_anisotropy for data model 2 only]
#-ins INST: specify instrument that measurements were made on # not implemented
-spc NUM: specify number of digits for specimen ID, default is 0
-ncn NCOM: specify naming convention (default is #1)
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXXYYY: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file -- NOT CURRENTLY SUPPORTED
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
DEFAULTS
MFILE: measurements.txt
SFILE: samples.txt
AFILE: specimens.txt
INPUT
name [az,pl,strike,dip], followed by
3 rows of 5 measurements for each specimen
"""
args = sys.argv
if '-h' in args:
print(do_help())
sys.exit()
# def k15_magic(k15file, specnum=0, sample_naming_con='1', er_location_name="unknown", measfile='magic_measurements.txt', sampfile="er_samples.txt", aniso_outfile='rmag_anisotropy.txt', result_file="rmag_results.txt", input_dir_path='.', output_dir_path='.'):
dataframe = extractor.command_line_dataframe([['f', True, ''], ['F', False, 'measurements.txt'], ['Fsa', False, 'samples.txt'], ['Fa', False, 'specimens.txt'], [
'Fr', False, 'rmag_results.txt'], ['spc', False, 0], ['ncn', False, '1'], ['loc', False, 'unknown'], ['WD', False, '.'], ['ID', False, '.'], ['DM', False, 3]])
checked_args = extractor.extract_and_check_args(args, dataframe)
k15file, measfile, sampfile, aniso_outfile, result_file, specnum, sample_naming_con, location_name, output_dir_path, input_dir_path, data_model_num = extractor.get_vars(
['f', 'F', 'Fsa', 'Fa', 'Fr', 'spc', 'ncn', 'loc', 'WD', 'ID', 'DM'], checked_args)
program_ran, error_message = convert.k15(k15file, specnum=specnum, sample_naming_con=sample_naming_con, location=location_name, meas_file=measfile,
samp_file=sampfile, aniso_outfile=aniso_outfile, result_file=result_file, input_dir_path=input_dir_path, dir_path=output_dir_path, data_model_num=data_model_num)
def main():
"""
iodp_samples_magic.py
OPTIONS:
-f FILE, input csv file
-Fsa FILE, output samples file for updating, default is to overwrite existing samples file
"""
if "-h" in sys.argv:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe(
[['WD', False, '.'], ['ID', False, '.'], ['f', True, ''],
['Fsa', False, 'samples.txt'], ['DM', False, 3]])
args = sys.argv
checked_args = extractor.extract_and_check_args(args, dataframe)
samp_file, output_samp_file, output_dir_path, input_dir_path, data_model_num = extractor.get_vars(
['f', 'Fsa', 'WD', 'ID', 'DM'], checked_args)
data_model_num = int(float(data_model_num))
if '-Fsa' not in args and data_model_num == 2:
output_samp_file = "er_samples.txt"
ran, error = convert.iodp_samples(samp_file,
output_samp_file,
output_dir_path,
input_dir_path,
data_model_num=data_model_num)
if not ran:
print("-W- " + error)
def main():
"""
NAME
combine_magic.py
DESCRIPTION
Combines magic format files of the same type together.
SYNTAX
combine_magic.py [-h] [-i] -out filename -in file1 file2 ....
OPTIONS
-h prints help message
-i allows interactive entry of input and output filenames
-F specify output file name [must come BEFORE input file names]
-f specify input file names [ must come last]
"""
if "-h" in sys.argv:
print main.__doc__
sys.exit()
if "-i" in sys.argv: # interactive
dataset,datasets=[],[]
while True:
infile=raw_input('\n\n Enter magic files for combining, <return> when done: ')
if infile=='':
break
if os.path.isfile(infile):
filenames.append(infile)
else:
print "-W- You have not provided a valid filename.\nIf the file is not in your current working directory, you will need to provide the full path to the file"
outfile=raw_input('\n\n Enter name for new combined file')
if not outfile:
return False
else: # non-interactive
dataframe = extractor.command_line_dataframe([["F", True, '']])
args = extractor.extract_and_check_args(sys.argv, dataframe)
dir_path, outfile, filenames = extractor.get_vars(["WD", "F", "f"], args)
#dir_path = pmag.get_named_arg_from_sys("-WD", ".")
#outfile = pmag.get_named_arg_from_sys("-F", reqd=True)
#if "-f" in sys.argv:
# ind=sys.argv.index("-f")
# for k in range(ind+1,len(sys.argv)):
# filenames.append(os.path.join(dir_path, sys.argv[k]))
#else:
# raise pmag.MissingCommandLineArgException("-f")
files=[]
for f in filenames.split():
files.append(os.path.join(dir_path,f))
outfile=(os.path.join(dir_path,outfile))
ipmag.combine_magic(files, outfile)
def main():
"""
iodp_samples_magic.py
OPTIONS:
-f FILE, input csv file
-Fsa FILE, output er_samples.txt file for updating, default is to overwrite er_samples.txt
"""
if "-h" in sys.argv:
print main.__doc__
sys.exit()
dataframe = extractor.command_line_dataframe([['WD', False, '.'], ['ID', False, '.'], ['f', True, ''], ['Fsa', False, None]])
args = sys.argv
checked_args = extractor.extract_and_check_args(args, dataframe)
samp_file, output_samp_file, output_dir_path, input_dir_path = extractor.get_vars(['f', 'Fsa', 'WD', 'ID'], checked_args)
ipmag.iodp_samples_magic(samp_file, output_samp_file, output_dir_path, input_dir_path)
def main():
"""
NAME
download_magic.py
DESCRIPTION
unpacks a magic formatted smartbook .txt file from the MagIC database into the
tab delimited MagIC format txt files for use with the MagIC-Py programs.
SYNTAX
download_magic.py command line options]
INPUT
takes either the upload.txt file created by upload_magic.py or the file
exported by the MagIC v2.2 console software (downloaded from the MagIC database
or output by the Console on your PC).
OPTIONS
-h prints help message and quits
-i allows interactive entry of filename
-f FILE specifies input file name
-O do not overwrite duplicate Location_* directories while downloading
"""
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-WD' in sys.argv:
ind = sys.argv.index('-WD')
dir_path = sys.argv[ind + 1]
# interactive entry
if '-i' in sys.argv:
infile = raw_input("Magic txt file for unpacking? ")
dir_path = '.'
input_dir_path = '.'
# non-interactive
else:
dataframe = extractor.command_line_dataframe([['O', False, True]])
checked_args = extractor.extract_and_check_args(sys.argv, dataframe)
infile, dir_path, input_dir_path, overwrite = extractor.get_vars(
['f', 'WD', 'ID', 'O'], checked_args)
data_model = float(pmag.get_named_arg_from_sys("-DM", 2.5))
ipmag.download_magic(infile, dir_path, input_dir_path, overwrite,
data_model)
def main():
"""
NAME
download_magic.py
DESCRIPTION
unpacks a magic formatted smartbook .txt file from the MagIC database into the
tab delimited MagIC format txt files for use with the MagIC-Py programs.
SYNTAX
download_magic.py command line options]
INPUT
takes either the upload.txt file created by upload_magic.py or the file
exported by the MagIC v2.2 console software (downloaded from the MagIC database
or output by the Console on your PC).
OPTIONS
-h prints help message and quits
-i allows interactive entry of filename
-f FILE specifies input file name
-O do not overwrite duplicate Location_* directories while downloading
"""
if '-h' in sys.argv:
print main.__doc__
sys.exit()
if '-WD' in sys.argv:
ind=sys.argv.index('-WD')
dir_path=sys.argv[ind+1]
# interactive entry
if '-i' in sys.argv:
infile=raw_input("Magic txt file for unpacking? ")
dir_path = '.'
input_dir_path = '.'
# non-interactive
else:
dataframe = extractor.command_line_dataframe([['O', False, True]])
checked_args = extractor.extract_and_check_args(sys.argv, dataframe)
infile, dir_path, input_dir_path, overwrite = extractor.get_vars(['f', 'WD', 'ID', 'O'], checked_args)
data_model = float(pmag.get_named_arg_from_sys("-DM", 2.5))
ipmag.download_magic(infile, dir_path, input_dir_path, overwrite, data_model)
def main():
"""
NAME
upload_magic.py
DESCRIPTION
This program will prepare your MagIC text files for uploading to the MagIC database
it will check for all the MagIC text files and skip the missing ones
SYNTAX
upload_magic.py
INPUT
MagIC txt files
OPTIONS
-h prints help message and quits
-all include all the measurement data, default is only those used in interpretations
-DM specify which MagIC data model number to use (2 or 3). Default is 3.
OUTPUT
upload file: file for uploading to MagIC database
"""
if '-h' in sys.argv:
print(main.__doc__)
sys.exit()
else:
data_model_num = pmag.get_named_arg("-DM", 3)
dataframe = extractor.command_line_dataframe([['cat', False, 0], ['F', False, ''], ['f', False, '']])
checked_args = extractor.extract_and_check_args(sys.argv, dataframe)
dir_path, concat = extractor.get_vars(['WD', 'cat'], checked_args)
data_model_num = int(float(data_model_num))
if data_model_num == 2:
ipmag.upload_magic2(concat, dir_path)
else:
ipmag.upload_magic(concat, dir_path)
def main():
"""
NAME
orientation_magic.py
DESCRIPTION
takes tab delimited field notebook information and converts to MagIC formatted tables
SYNTAX
orientation_magic.py [command line options]
OPTIONS
-f FILE: specify input file, default is: orient.txt
-Fsa FILE: specify output file, default is: er_samples.txt
-Fsi FILE: specify output site location file, default is: er_sites.txt
-app append/update these data in existing er_samples.txt, er_sites.txt files
-ocn OCON: specify orientation convention, default is #1 below
-dcn DCON [DEC]: specify declination convention, default is #1 below
if DCON = 2, you must supply the declination correction
-BCN don't correct bedding_dip_dir for magnetic declination -already corrected
-ncn NCON: specify naming convention: default is #1 below
-a: averages all bedding poles and uses average for all samples: default is NO
-gmt HRS: specify hours to subtract from local time to get GMT: default is 0
-mcd: specify sampling method codes as a colon delimited string: [default is: FS-FD:SO-POM]
FS-FD field sampling done with a drill
FS-H field sampling done with hand samples
FS-LOC-GPS field location done with GPS
FS-LOC-MAP field location done with map
SO-POM a Pomeroy orientation device was used
SO-ASC an ASC orientation device was used
-DM: specify data model (2 or 3). Will output to the appropriate format.
Orientation convention:
Samples are oriented in the field with a "field arrow" and measured in the laboratory with a "lab arrow". The lab arrow is the positive X direction of the right handed coordinate system of the specimen measurements. The lab and field arrows may not be the same. In the MagIC database, we require the orientation (azimuth and plunge) of the X direction of the measurements (lab arrow). Here are some popular conventions that convert the field arrow azimuth (mag_azimuth in the orient.txt file) and dip (field_dip in orient.txt) to the azimuth and plunge of the laboratory arrow (sample_azimuth and sample_dip in er_samples.txt). The two angles, mag_azimuth and field_dip are explained below.
[1] Standard Pomeroy convention of azimuth and hade (degrees from vertical down)
of the drill direction (field arrow). lab arrow azimuth= sample_azimuth = mag_azimuth;
lab arrow dip = sample_dip =-field_dip. i.e. the lab arrow dip is minus the hade.
[2] Field arrow is the strike of the plane orthogonal to the drill direction,
Field dip is the hade of the drill direction. Lab arrow azimuth = mag_azimuth-90
Lab arrow dip = -field_dip
[3] Lab arrow is the same as the drill direction;
hade was measured in the field.
Lab arrow azimuth = mag_azimuth; Lab arrow dip = 90-field_dip
[4] lab azimuth and dip are same as mag_azimuth, field_dip : use this for unoriented samples too
[5] Same as AZDIP convention explained below -
azimuth and inclination of the drill direction are mag_azimuth and field_dip;
lab arrow is as in [1] above.
lab azimuth is same as mag_azimuth,lab arrow dip=field_dip-90
[6] Lab arrow azimuth = mag_azimuth-90; Lab arrow dip = 90-field_dip
[7] all others you will have to either customize your
self or e-mail [email protected] for help.
Magnetic declination convention:
[1] Use the IGRF value at the lat/long and date supplied [default]
[2] Will supply declination correction
[3] mag_az is already corrected in file
[4] Correct mag_az but not bedding_dip_dir
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
OUTPUT
output saved in er_samples.txt and er_sites.txt (or samples.txt and sites.txt if using data model 3.0)
- this will overwrite any existing files
"""
args = sys.argv
if "-h" in args:
print main.__doc__
sys.exit()
else:
info = [['WD', False, '.'], ['ID', False, '.'],
['f', False, 'orient.txt'], ['app', False, False],
['ocn', False, 1], ['dcn', False, 1], ['BCN', False, True],
['ncn', False, '1'], ['gmt', False, 0], ['mcd', False, ''],
['a', False, False], ['DM', False, 2.5]]
#output_dir_path, input_dir_path, orient_file, append, or_con, dec_correction_con, samp_con, hours_from_gmt, method_codes, average_bedding
# leave off -Fsa, -Fsi b/c defaults in command_line_extractor
dataframe = extractor.command_line_dataframe(info)
checked_args = extractor.extract_and_check_args(args, dataframe)
output_dir_path, input_dir_path, orient_file, append, or_con, dec_correction_con, bed_correction, samp_con, hours_from_gmt, method_codes, average_bedding, samp_file, site_file, data_model = extractor.get_vars(
[
'WD', 'ID', 'f', 'app', 'ocn', 'dcn', 'BCN', 'ncn', 'gmt',
'mcd', 'a', 'Fsa', 'Fsi', 'DM'
], checked_args)
if not isinstance(dec_correction_con, int):
if len(dec_correction_con) > 1:
dec_correction = int(dec_correction_con.split()[1])
dec_correction_con = int(dec_correction_con.split()[0])
else:
dec_correction = 0
else:
dec_correction = 0
ipmag.orientation_magic(or_con, dec_correction_con, dec_correction,
bed_correction, samp_con, hours_from_gmt,
method_codes, average_bedding, orient_file,
samp_file, site_file, output_dir_path,
input_dir_path, append, data_model)
#def orientation_magic(or_con=1, dec_correction_con=1, dec_correction=0, bed_correction=True, samp_con='1', hours_from_gmt=0, method_codes='', average_bedding=False, orient_file='orient.txt', samp_file='er_samples.txt', site_file='er_sites.txt', output_dir_path='.', input_dir_path='.', append=False):
##example use:
##make a pandas dataframe with three columns:
## col 1 is the command-line flag (minus the '-'), common ones include f, F, fsa, Fsa, etc.
## col 2 is a boolean for if the flag is required or not
## col 3 is a default value to use if the flag is not provided
#dataframe = command_line_dataframe([['sav', False, 0], ['fmt', False, 'svg'], ['s', False, 20]])
## get the args from the command line:
#args = sys.argv
## check through the args to make sure that reqd args are present, defaults are used as needed, and invalid args are ignored
#checked_args = extract_and_check_args(args, dataframe)
## assign values to variables based on their associated command-line flag
#fmt, size, plot = get_vars(['fmt', 's', 'sav'], checked_args)
#print "fmt:", fmt, "size:", size, "plot:", plot
ignore = """
def main():
"""
NAME
kly4s_magic.py
DESCRIPTION
converts files generated by SIO kly4S labview program to MagIC formated
files for use with PmagPy plotting software
SYNTAX
kly4s_magic.py -h [command line options]
OPTIONS
-h: prints the help message and quits
-i: allows interactive input of input/output filenames
-f FILE: specify .ams input file name
-fad AZDIP: specify AZDIP file with orientations, will create er_samples.txt file
-fsa SFILE: specify existing er_samples.txt file with orientation information
-fsp SPFILE: specify existing er_specimens.txt file for appending
-F MFILE: specify magic_measurements output file
-Fa AFILE: specify rmag_anisotropy output file
-ocn ORCON: specify orientation convention: default is #3 below -only with AZDIP file
-usr USER: specify who made the measurements
-loc LOC: specify location name for study
-ins INST: specify instrument used
-spc SPEC: specify number of characters to specify specimen from sample
-ncn NCON: specify naming convention: default is #1 below
DEFAULTS
MFILE: magic_measurements.txt
AFILE: rmag_anisotropy.txt
SPFILE: create new er_specimens.txt file
USER: ""
LOC: "unknown"
INST: "SIO-KLY4S"
SPEC: 1 specimen name is same as sample (if SPEC is 1, sample is all but last character)
NOTES:
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXXYYY: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file -- NOT CURRENTLY SUPPORTED
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
Orientation convention:
[1] Lab arrow azimuth= azimuth; Lab arrow dip=-dip
i.e., dip is degrees from vertical down - the hade [default]
[2] Lab arrow azimuth = azimuth-90; Lab arrow dip = -dip
i.e., azimuth is strike and dip is hade
[3] Lab arrow azimuth = azimuth; Lab arrow dip = dip-90
e.g. dip is degrees from horizontal of drill direction
[4] Lab arrow azimuth = azimuth; Lab arrow dip = dip
[5] Lab arrow azimuth = azimuth; Lab arrow dip = 90-dip
[6] all others you will have to either customize your
self or e-mail [email protected] for help.
"""
#def kly4s_magic(infile, specnum=0, locname="unknown", inst='SIO-KLY4S', samp_con="1", or_con='3' ,user='', measfile='magic_measurements.txt', aniso_outfile='rmag_anisotropy.txt', samp_infile='', spec_infile='', azdip_infile='', output_dir_path='.', input_dir_path='.'):
args = sys.argv
if '-h' in args:
print main.__doc__
sys.exit()
dataframe = extractor.command_line_dataframe([['f', True, ''], ['fad', False, ''], ['fsa', False, ''], ['fsp', False, ''], ['Fsp', False, 'er_specimens.txt'], ['F', False, 'magic_measurements.txt'], ['Fa', False, 'rmag_anisotropy.txt'], ['ocn', False, '3'], ['usr', False, ''], ['loc', False, ''], ['ins', False, 'SIO-KLY4S'], ['spc', False, 0], ['ncn', False, '1'], ['WD', False, '.'], ['ID', False, '.'] ])
checked_args = extractor.extract_and_check_args(args, dataframe)
infile, azdip_infile, samp_infile, spec_infile, spec_outfile, measfile, aniso_outfile, or_con, user, locname, inst, specnum, samp_con, output_dir_path, input_dir_path = extractor.get_vars(['f', 'fad', 'fsa', 'fsp', 'Fsp', 'F', 'Fa', 'ocn', 'usr', 'loc', 'ins', 'spc', 'ncn', 'WD', 'ID'], checked_args)
ipmag.kly4s_magic(infile, specnum=specnum, locname=locname, inst=inst, user=user, measfile=measfile,or_con=or_con, samp_con=samp_con, aniso_outfile=aniso_outfile, samp_infile=samp_infile, spec_infile=spec_infile, spec_outfile=spec_outfile, azdip_infile=azdip_infile, output_dir_path=output_dir_path, input_dir_path=input_dir_path)
def main():
"""
NAME
sufar4-asc_magic.py
DESCRIPTION
converts ascii files generated by SUFAR ver.4.0 to MagIC formated
files for use with PmagPy plotting software
SYNTAX
sufar4-asc_magic.py -h [command line options]
OPTIONS
-h: prints the help message and quits
-f FILE: specify .asc input file name
-fsi SINFILE: specify er_specimens input file
-F MFILE: specify magic_measurements output file
-Fa AFILE: specify rmag_anisotropy output file
-Fr RFILE: specify rmag_results output file
-Fsi SFILE: specify er_specimens output file with location, sample, site, etc. information
-usr USER: specify who made the measurements
-loc LOC: specify location name for study
-ins INST: specify instrument used
-spc SPEC: specify number of characters to specify specimen from sample
-ncn NCON: specify naming convention: default is #2 below
-k15 : specify static 15 position mode - default is spinning
-new : replace all existing magic files
DEFAULTS
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
SFILE: default is to create new er_specimen.txt file
USER: ""
LOC: "unknown"
INST: ""
SPEC: 0 sample name is same as site (if SPEC is 1, sample is all but last character)
appends to 'er_specimens.txt, er_samples.txt, er_sites.txt' files
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name same as sample
[6] site is entered under a separate column -- NOT CURRENTLY SUPPORTED
[7-Z] [XXXX]YYY: XXXX is site designation with Z characters with sample name XXXXYYYY
NB: all others you will have to customize your self
or e-mail [email protected] for help.
[8] This is a synthetic
[9] ODP naming convention
"""
args = sys.argv
if '-h' in args:
print main.__doc__
sys.exit()
dataframe = extractor.command_line_dataframe(
[['WD', False, '.'], ['ID', False, '.'], ['usr', False, ''],
['ncn', False, '1'], ['k15', False, False], ['ins', False, ''],
['f', True, ''], ['F', False, 'magic_measurements.txt'],
['Fa', False, 'rmag_anisotropy.txt'],
['Fsi', False, 'er_specimens.txt'], ['loc', False, 'unknown'],
['spc', False, 0], ['fsi', False, None]])
#'WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi', 'loc', 'spc',
checked_args = extractor.extract_and_check_args(args, dataframe)
output_dir_path, input_dir_path, user, sample_naming_con, static_15_position_mode, instrument, ascfile, meas_output, aniso_output, spec_outfile, locname, specnum, spec_infile = extractor.get_vars(
[
'WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi',
'loc', 'spc', 'fsi'
], checked_args)
ipmag.SUFAR4_magic(ascfile,
meas_output,
aniso_output,
spec_infile,
spec_outfile,
specnum=specnum,
sample_naming_con=sample_naming_con,
user=user,
locname=locname,
instrument=instrument,
static_15_position_mode=static_15_position_mode,
output_dir_path=output_dir_path,
input_dir_path=input_dir_path)
def main():
"""
NAME
ani_depthplot.py
DESCRIPTION
plots tau, V3_inc, V1_dec, P and chi versus core_depth
SYNTAX
ani_depthplot.py [command line optins]
# or, for Anaconda users:
ani_depthplot_anaconda [command line options]
OPTIONS
-h prints help message and quits
-f FILE: specify input rmag_anisotropy format file from magic (MagIC 2 only)
-fb FILE: specify input measurements format file from magic
-fsa FILE: specify input sample format file from magic
-fsp FILE: specify input specimen file (MagIC 3 only)
-fsum FILE : specify input LIMS database (IODP) core summary csv file
to print the core names, set lab to 1
-fa FILE: specify input ages format file from magic
-d min max [in m] depth range to plot
-ds [mcd,mbsf], specify depth scale, default is mbsf (core depth)
-sav save plot without review
-fmt specfiy format for figures - default is svg
DEFAULTS:
Anisotropy file: specimens.txt
Bulk susceptibility file: measurements.txt
Samples file: samples.txt
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe([['f', False, 'rmag_anisotropy.txt'],
['fb', False, 'magic_measurements.txt'],
['fsa', False, 'er_samples.txt'],
['fa', False, None], ['fsum', False, None],
['fmt', False, 'svg'], ['ds', False, 'mbsf'],
['d', False, '-1 -1'], ['sav', False, False],
['WD', False, '.' ], ['DM', False, 3],
['fsp', False, 'specimens.txt']])
#args = sys.argv
checked_args = extractor.extract_and_check_args(args, dataframe)
ani_file, meas_file, samp_file, age_file, sum_file, fmt, depth_scale, depth, save_quietly, dir_path, data_model, spec_file = extractor.get_vars(['f', 'fb', 'fsa', 'fa', 'fsum', 'fmt', 'ds', 'd', 'sav', 'WD', 'DM', 'fsp'], checked_args)
# format min/max depth
try:
dmin, dmax = depth.split()
dmin, dmax = float(dmin), float(dmax)
except:
print('you must provide depth in this format: -d dmin dmax')
print('could not parse "{}", defaulting to plotting all depths'.format('-d ' + str(depth)))
dmin, dmax = -1, -1
if depth_scale:
if depth_scale not in ['age', 'mbsf', 'mcd']:
print('-W- Unrecognized option "{}" provided for depth scale.\n Options for depth scale are mbsf (meters below sea floor) or mcd (meters composite depth).\n Alternatively, if you provide an age file the depth scale will be automatically set to plot by age instead.\n Using default "mbsf"'.format(depth_scale))
depth_scale = 'sample_core_depth'
if age_file:
depth_scale = 'age'
elif 'mbsf' in depth_scale:
depth_scale = 'sample_core_depth'
elif 'mcd' in depth_scale:
depth_scale = 'sample_composite_depth'
data_model = int(float(data_model))
# MagIC 2
if data_model == 2:
fig, figname = ipmag.ani_depthplot2(ani_file, meas_file, samp_file, age_file, sum_file, fmt, dmin, dmax, depth_scale, dir_path)
# MagIC 3
else:
if meas_file == "magic_measurements.txt":
meas_file = 'measurements.txt'
if samp_file in ['er_samples.txt', 'pmag_samples.txt']:
samp_file = "samples.txt"
site_file = 'sites.txt'
fig, fignames = ipmag.ani_depthplot(spec_file, samp_file, meas_file, site_file, age_file, sum_file, fmt, dmin, dmax, depth_scale, dir_path)
figname = fignames[0]
if save_quietly:
if dir_path == '.':
dir_path = os.getcwd()
plt.savefig(figname)
plt.clf()
print('Saved file: {}'.format(figname))
return False
app = wx.App(redirect=False)
if not fig:
pw.simple_warning('No plot was able to be created with the data you provided.\nMake sure you have given all the required information and try again')
return False
dpi = fig.get_dpi()
pixel_width = dpi * fig.get_figwidth()
pixel_height = dpi * fig.get_figheight()
figname = os.path.join(dir_path, figname)
plot_frame = pmag_menu_dialogs.PlotFrame((int(pixel_width), int(pixel_height + 50)),
fig, figname, standalone=True)
app.MainLoop()
def main():
"""
NAME
orientation_magic.py
DESCRIPTION
takes tab delimited field notebook information and converts to MagIC formatted tables
SYNTAX
orientation_magic.py [command line options]
OPTIONS
-f FILE: specify input file, default is: orient.txt
-Fsa FILE: specify output file, default is: er_samples.txt
-Fsi FILE: specify output site location file, default is: er_sites.txt
-app append/update these data in existing er_samples.txt, er_sites.txt files
-ocn OCON: specify orientation convention, default is #1 below
-dcn DCON [DEC]: specify declination convention, default is #1 below
if DCON = 2, you must supply the declination correction
-BCN don't correct bedding_dip_dir for magnetic declination -already corrected
-ncn NCON: specify naming convention: default is #1 below
-a: averages all bedding poles and uses average for all samples: default is NO
-gmt HRS: specify hours to subtract from local time to get GMT: default is 0
-mcd: specify sampling method codes as a colon delimited string: [default is: FS-FD:SO-POM]
FS-FD field sampling done with a drill
FS-H field sampling done with hand samples
FS-LOC-GPS field location done with GPS
FS-LOC-MAP field location done with map
SO-POM a Pomeroy orientation device was used
SO-ASC an ASC orientation device was used
-DM: specify data model (2 or 3). Will output to the appropriate format.
Orientation convention:
Samples are oriented in the field with a "field arrow" and measured in the laboratory with a "lab arrow". The lab arrow is the positive X direction of the right handed coordinate system of the specimen measurements. The lab and field arrows may not be the same. In the MagIC database, we require the orientation (azimuth and plunge) of the X direction of the measurements (lab arrow). Here are some popular conventions that convert the field arrow azimuth (mag_azimuth in the orient.txt file) and dip (field_dip in orient.txt) to the azimuth and plunge of the laboratory arrow (sample_azimuth and sample_dip in er_samples.txt). The two angles, mag_azimuth and field_dip are explained below.
[1] Standard Pomeroy convention of azimuth and hade (degrees from vertical down)
of the drill direction (field arrow). lab arrow azimuth= sample_azimuth = mag_azimuth;
lab arrow dip = sample_dip =-field_dip. i.e. the lab arrow dip is minus the hade.
[2] Field arrow is the strike of the plane orthogonal to the drill direction,
Field dip is the hade of the drill direction. Lab arrow azimuth = mag_azimuth-90
Lab arrow dip = -field_dip
[3] Lab arrow is the same as the drill direction;
hade was measured in the field.
Lab arrow azimuth = mag_azimuth; Lab arrow dip = 90-field_dip
[4] lab azimuth and dip are same as mag_azimuth, field_dip : use this for unoriented samples too
[5] Same as AZDIP convention explained below -
azimuth and inclination of the drill direction are mag_azimuth and field_dip;
lab arrow is as in [1] above.
lab azimuth is same as mag_azimuth,lab arrow dip=field_dip-90
[6] Lab arrow azimuth = mag_azimuth-90; Lab arrow dip = 90-field_dip
[7] all others you will have to either customize your
self or e-mail [email protected] for help.
Magnetic declination convention:
[1] Use the IGRF value at the lat/long and date supplied [default]
[2] Will supply declination correction
[3] mag_az is already corrected in file
[4] Correct mag_az but not bedding_dip_dir
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
OUTPUT
output saved in er_samples.txt and er_sites.txt (or samples.txt and sites.txt if using data model 3.0)
- this will overwrite any existing files
"""
args = sys.argv
if "-h" in args:
print main.__doc__
sys.exit()
else:
info = [['WD', False, '.'], ['ID', False, '.'], ['f', False, 'orient.txt'],
['app', False, False], ['ocn', False, 1], ['dcn', False, 1],
['BCN', False, True], ['ncn', False, '1'], ['gmt', False, 0],
['mcd', False, ''], ['a', False, False], ['DM', False, 2.5]]
#output_dir_path, input_dir_path, orient_file, append, or_con, dec_correction_con, samp_con, hours_from_gmt, method_codes, average_bedding
# leave off -Fsa, -Fsi b/c defaults in command_line_extractor
dataframe = extractor.command_line_dataframe(info)
checked_args = extractor.extract_and_check_args(args, dataframe)
output_dir_path, input_dir_path, orient_file, append, or_con, dec_correction_con, bed_correction, samp_con, hours_from_gmt, method_codes, average_bedding, samp_file, site_file, data_model = extractor.get_vars(['WD', 'ID', 'f', 'app', 'ocn', 'dcn', 'BCN', 'ncn', 'gmt', 'mcd', 'a', 'Fsa', 'Fsi', 'DM'], checked_args)
if not isinstance(dec_correction_con, int):
if len(dec_correction_con) > 1:
dec_correction = int(dec_correction_con.split()[1])
dec_correction_con = int(dec_correction_con.split()[0])
else:
dec_correction = 0
else:
dec_correction = 0
ipmag.orientation_magic(or_con, dec_correction_con, dec_correction, bed_correction, samp_con, hours_from_gmt, method_codes, average_bedding, orient_file, samp_file, site_file, output_dir_path, input_dir_path, append, data_model)
#def orientation_magic(or_con=1, dec_correction_con=1, dec_correction=0, bed_correction=True, samp_con='1', hours_from_gmt=0, method_codes='', average_bedding=False, orient_file='orient.txt', samp_file='er_samples.txt', site_file='er_sites.txt', output_dir_path='.', input_dir_path='.', append=False):
##example use:
##make a pandas dataframe with three columns:
## col 1 is the command-line flag (minus the '-'), common ones include f, F, fsa, Fsa, etc.
## col 2 is a boolean for if the flag is required or not
## col 3 is a default value to use if the flag is not provided
#dataframe = command_line_dataframe([['sav', False, 0], ['fmt', False, 'svg'], ['s', False, 20]])
## get the args from the command line:
#args = sys.argv
## check through the args to make sure that reqd args are present, defaults are used as needed, and invalid args are ignored
#checked_args = extract_and_check_args(args, dataframe)
## assign values to variables based on their associated command-line flag
#fmt, size, plot = get_vars(['fmt', 's', 'sav'], checked_args)
#print "fmt:", fmt, "size:", size, "plot:", plot
ignore="""
def main():
"""
NAME
sufar4-asc_magic.py
DESCRIPTION
converts ascii files generated by SUFAR ver.4.0 to MagIC formated
files for use with PmagPy plotting software
SYNTAX
sufar4-asc_magic.py -h [command line options]
OPTIONS
-h: prints the help message and quits
-f FILE: specify .asc input file name
-fsi SINFILE: specify er_specimens input file
-F MFILE: specify magic_measurements output file
-Fa AFILE: specify rmag_anisotropy output file
-Fr RFILE: specify rmag_results output file
-Fsi SFILE: specify er_specimens output file with location, sample, site, etc. information
-usr USER: specify who made the measurements
-loc LOC: specify location name for study
-ins INST: specify instrument used
-spc SPEC: specify number of characters to specify specimen from sample
-ncn NCON: specify naming convention: default is #2 below
-k15 : specify static 15 position mode - default is spinning
-new : replace all existing magic files
DEFAULTS
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
SFILE: default is to create new er_specimen.txt file
USER: ""
LOC: "unknown"
INST: ""
SPEC: 0 sample name is same as site (if SPEC is 1, sample is all but last character)
appends to 'er_specimens.txt, er_samples.txt, er_sites.txt' files
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name same as sample
[6] site is entered under a separate column
[7-Z] [XXXX]YYY: XXXX is site designation with Z characters with sample name XXXXYYYY
NB: all others you will have to customize your self
or e-mail [email protected] for help.
[8] This is a synthetic
[9] ODP naming convention
"""
args = sys.argv
if '-h' in args:
print main.__doc__
sys.exit()
dataframe = extractor.command_line_dataframe([ ['WD', False, '.'], ['ID', False, '.'], ['usr', False, ''], ['ncn', False, '1'], ['k15', False, False], ['ins', False, ''], ['f', True, ''], ['F', False, 'magic_measurements.txt'], ['Fa', False, 'rmag_anisotropy.txt'], ['Fsi', False, 'er_specimens.txt'], ['loc', False, 'unknown'], ['spc', False, 0], ['fsi', False, None]])
#'WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi', 'loc', 'spc',
checked_args = extractor.extract_and_check_args(args, dataframe)
output_dir_path, input_dir_path, user, sample_naming_con, static_15_position_mode, instrument, ascfile, meas_output, aniso_output, spec_outfile, locname, specnum, spec_infile = extractor.get_vars(['WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi', 'loc', 'spc', 'fsi'], checked_args)
ipmag.SUFAR4_magic(ascfile, meas_output, aniso_output, spec_infile, spec_outfile, specnum=specnum, sample_naming_con=sample_naming_con, user=user, locname=locname, instrument=instrument, static_15_position_mode=static_15_position_mode, output_dir_path=output_dir_path, input_dir_path=input_dir_path)
def main():
"""
NAME
core_depthplot.py
DESCRIPTION
plots various measurements versus core_depth or age. plots data flagged as 'FS-SS-C' as discrete samples.
SYNTAX
core_depthplot.py [command line optins]
OPTIONS
-h prints help message and quits
-f FILE: specify input magic_measurments format file from magi
-fsum FILE: specify input LIMS database (IODP) core summary csv file
-fwig FILE: specify input depth,wiggle to plot, in magic format with sample_core_depth key for depth
-fsa FILE: specify input er_samples format file from magic for depth
-fa FILE: specify input er_ages format file from magic for age
NB: must have either -fsa OR -fa (not both)
-fsp FILE sym size: specify input zeq_specimen format file from magic, sym and size
NB: PCAs will have specified color, while fisher means will be white with specified color as the edgecolor
-fres FILE specify input pmag_results file from magic, sym and size
-LP [AF,T,ARM,IRM, X] step [in mT,C,mT,mT, mass/vol] to plot
-S do not plot blanket treatment data (if this is set, you don't need the -LP)
-sym SYM SIZE, symbol, size for continuous points (e.g., ro 5, bs 10, g^ 10 for red dot, blue square, green triangle), default is blue dot at 5 pt
-D do not plot declination
-M do not plot magnetization
-log plot magnetization on a log scale
-L do not connect dots with a line
-I do not plot inclination
-d min max [in m] depth range to plot
-n normalize by weight in er_specimen table
-Iex: plot the expected inc at lat - only available for results with lat info in file
-ts TS amin amax: plot the GPTS for the time interval between amin and amax (numbers in Ma)
TS: [ck95, gts04, gts12]
-ds [mbsf,mcd] specify depth scale, mbsf default
-fmt [svg, eps, pdf, png] specify output format for plot (default: svg)
-sav save plot silently
DEFAULTS:
Measurements file: magic_measurements.txt
Samples file: er_samples.txt
NRM step
Summary file: none
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe([ ['f', False, 'magic_measurements.txt'], ['fsum', False, ''],
['fwig', False, ''], ['fsa', False, ''],
['fa', False, ''], ['fsp', False, ''],
['fres', False, '' ], ['fmt', False, 'svg'],
['LP', False, ''], ['n', False, False],
['d', False, '-1 -1'], ['ts', False, ''],
['WD', False, '.'], ['L', False, True],
['S', False, True], ['D', False, True],
['I', False, True], ['M', False, True],
['log', False, 0],
['ds', False, 'sample_core_depth'],
['sym', False, 'bo 5'], ['ID', False, '.'],
['sav', False, False]])
checked_args = extractor.extract_and_check_args(args, dataframe)
meas_file, sum_file, wig_file, samp_file, age_file, spc_file, res_file, fmt, meth, norm, depth, timescale, dir_path, pltLine, pltSus, pltDec, pltInc, pltMag, logit, depth_scale, symbol, input_dir, save = extractor.get_vars(['f', 'fsum', 'fwig', 'fsa', 'fa', 'fsp', 'fres', 'fmt', 'LP', 'n', 'd', 'ts', 'WD', 'L', 'S', 'D', 'I', 'M', 'log', 'ds', 'sym', 'ID', 'sav'], checked_args)
# format some variables
# format symbol/size
try:
sym, size = symbol.split()
size = int(size)
except:
print('you should provide -sym in this format: ro 5')
print('using defaults instead')
sym, size = 'ro', 5
# format result file, symbol, size
if res_file:
try:
res_file, res_sym, res_size = res_file.split()
except:
print('you must provide -fres in this format: -fres filename symbol size')
print('could not parse {}, defaulting to using no result file'.format(res_file))
res_file, res_sym, res_size = '', '', 0
else:
res_file, res_sym, res_size = '', '', 0
# format specimen file, symbol, size
if spc_file:
try:
spc_file, spc_sym, spc_size = spc_file.split()
except:
print('you must provide -fsp in this format: -fsp filename symbol size')
print('could not parse {}, defaulting to using no specimen file'.format(spc_file))
spc_file, spc_sym, spc_size = '', '', 0
else:
spc_file, spc_sym, spc_size = '', '', 0
# format min/max depth
try:
dmin, dmax = depth.split()
except:
print('you must provide -d in this format: -d dmin dmax')
print('could not parse {}, defaulting to plotting all depths'.format(depth))
dmin, dmax = -1, -1
# format timescale, min/max time
if timescale:
try:
timescale, amin, amax = timescale.split()
pltTime = True
except:
print('you must provide -ts in this format: -ts timescale minimum_age maximum_age')
print('could not parse {}, defaulting to using no timescale'.format(timescale))
timescale, amin, amax = None, -1, -1
pltTime = False
else:
timescale, amin, amax = None, -1, -1
pltTime = False
# format norm and wt_file
if norm and not isinstance(norm, bool):
wt_file = norm
norm = True
else:
norm = False
wt_file = ''
# format list of protcols and step
try:
method, step = meth.split()
except:
print('To use the -LP flag you must provide both the protocol and the step in this format:\n-LP [AF,T,ARM,IRM, X] step [in mT,C,mT,mT, mass/vol] to plot')
print('Defaulting to using no protocol')
method, step = 'LT-NO', 0
# list of varnames
#['f', 'fsum', 'fwig', 'fsa', 'fa', 'fsp', 'fres', 'fmt', 'LP', 'n', 'd', 'ts', 'WD', 'L', 'S', 'D', 'I', 'M', 'log', 'ds', 'sym' ]
#meas_file, sum_file, wig_file, samp_file, age_file, spc_file, res_file, fmt, meth, norm, depth, timescale, dir_path, pltLine, pltSus, pltDec, pltInc, pltMag, logit, depth_scale, symbol
fig, figname = ipmag.core_depthplot(input_dir, meas_file, spc_file, samp_file, age_file, sum_file, wt_file, depth_scale, dmin, dmax, sym, size, spc_sym, spc_size, method, step, fmt, pltDec, pltInc, pltMag, pltLine, pltSus, logit, pltTime, timescale, amin, amax, norm)
if not pmagplotlib.isServer:
figname = figname.replace(':', '_')
if fig and save:
plt.savefig(figname)
return
app = wx.App(redirect=False)
if not fig:
pw.simple_warning('No plot was able to be created with the data you provided.\nMake sure you have given all the required information and try again')
return False
dpi = fig.get_dpi()
pixel_width = dpi * fig.get_figwidth()
pixel_height = dpi * fig.get_figheight()
figname = os.path.join(dir_path, figname)
plot_frame = pmag_menu_dialogs.PlotFrame((int(pixel_width), int(pixel_height + 50)),
fig, figname, standalone=True)
app.MainLoop()
def main():
"""
NAME
azdip_magic.py
DESCRIPTION
takes space delimited AzDip file and converts to MagIC formatted tables
SYNTAX
azdip_magic.py [command line options]
OPTIONS
-f FILE: specify input file
-Fsa FILE: specify output file, default is: er_samples.txt/samples.txt
-ncn NCON: specify naming convention: default is #1 below
-mcd: specify sampling method codes as a colon delimited string: [default is: FS-FD]
FS-FD field sampling done with a drill
FS-H field sampling done with hand samples
FS-LOC-GPS field location done with GPS
FS-LOC-MAP field location done with map
SO-POM a Pomeroy orientation device was used
SO-ASC an ASC orientation device was used
SO-MAG orientation with magnetic compass
-loc: location name, default="unknown"
-app appends to existing samples file, default is to overwrite
INPUT FORMAT
Input files must be space delimited:
Samp Az Dip Strike Dip
Orientation convention:
Lab arrow azimuth = mag_azimuth; Lab arrow dip = 90-field_dip
e.g. field_dip is degrees from horizontal of drill direction
Magnetic declination convention:
Az is already corrected in file
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name same as sample
[6] site is entered under a separate column -- NOT CURRENTLY SUPPORTED
[7-Z] [XXXX]YYY: XXXX is site designation with Z characters with sample name XXXXYYYY
NB: all others you will have to customize your self
or e-mail [email protected] for help.
OUTPUT
output saved in samples file will overwrite any existing files
"""
args = sys.argv
if "-h" in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe([['f', False, 'orient.txt'], ['Fsa', False, 'er_samples.txt'], ['ncn', False, "1"], ['mcd', False, 'FS-FD'], ['loc', False, 'unknown'], ['app', False, False], ['WD', False, '.'], ['ID', False, '.'], ['DM', False, 3]])
checked_args = extractor.extract_and_check_args(args, dataframe)
#print('checked_args:', checked_args)
orient_file, samp_file, samp_con, method_codes, location_name, append, output_dir, input_dir, data_model = extractor.get_vars(['f', 'Fsa', 'ncn', 'mcd', 'loc', 'app', 'WD', 'ID', 'DM'], checked_args)
if len(str(samp_con)) > 1:
samp_con, Z = samp_con.split('-')
Z = float(Z)
else:
Z = 1
ipmag.azdip_magic(orient_file, samp_file, samp_con, Z, method_codes, location_name, append, output_dir, input_dir, data_model)
def main():
"""
NAME
ani_depthplot.py
DESCRIPTION
plots tau, V3_inc, V1_dec, P and chi versus core_depth
SYNTAX
ani_depthplot.py [command line optins]
# or, for Anaconda users:
ani_depthplot_anaconda [command line options]
OPTIONS
-h prints help message and quits
-f FILE: specify input rmag_anisotropy format file from magic (MagIC 2 only)
-fb FILE: specify input measurements format file from magic
-fsa FILE: specify input sample format file from magic
-fsp FILE: specify input specimen file (MagIC 3 only)
-fsum FILE : specify input LIMS database (IODP) core summary csv file
to print the core names, set lab to 1
-fa FILE: specify input ages format file from magic
-d min max [in m] depth range to plot
-ds [mcd,mbsf], specify depth scale, default is mbsf (core depth)
-sav save plot without review
-fmt specfiy format for figures - default is svg
DEFAULTS:
Anisotropy file: rmag_anisotropy.txt
Bulk susceptibility file: magic_measurements.txt
Samples file: er_samples.txt
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe(
[['f', False, 'rmag_anisotropy.txt'],
['fb', False, 'magic_measurements.txt'],
['fsa', False, 'er_samples.txt'], ['fa', False, None],
['fsum', False, None], ['fmt', False, 'svg'], ['ds', False, 'mbsf'],
['d', False, '-1 -1'], ['sav', False, False], ['WD', False, '.'],
['DM', False, 3], ['fsp', False, 'specimens.txt']])
#args = sys.argv
checked_args = extractor.extract_and_check_args(args, dataframe)
ani_file, meas_file, samp_file, age_file, sum_file, fmt, depth_scale, depth, save_quietly, dir_path, data_model, spec_file = extractor.get_vars(
[
'f', 'fb', 'fsa', 'fa', 'fsum', 'fmt', 'ds', 'd', 'sav', 'WD',
'DM', 'fsp'
], checked_args)
# format min/max depth
try:
dmin, dmax = depth.split()
dmin, dmax = float(dmin), float(dmax)
except:
print('you must provide depth in this format: -d dmin dmax')
print('could not parse "{}", defaulting to plotting all depths'.format(
'-d ' + str(depth)))
dmin, dmax = -1, -1
if depth_scale:
if depth_scale not in ['age', 'mbsf', 'mcd']:
print(
'-W- Unrecognized option "{}" provided for depth scale.\n Options for depth scale are mbsf (meters below sea floor) or mcd (meters composite depth).\n Alternatively, if you provide an age file the depth scale will be automatically set to plot by age instead.\n Using default "mbsf"'
.format(depth_scale))
depth_scale = 'sample_core_depth'
if age_file:
depth_scale = 'age'
elif 'mbsf' in depth_scale:
depth_scale = 'sample_core_depth'
elif 'mcd' in depth_scale:
depth_scale = 'sample_composite_depth'
data_model = int(float(data_model))
# MagIC 2
if data_model == 2:
fig, figname = ipmag.ani_depthplot2(ani_file, meas_file, samp_file,
age_file, sum_file, fmt, dmin,
dmax, depth_scale, dir_path)
# MagIC 3
else:
if meas_file == "magic_measurements.txt":
meas_file = 'measurements.txt'
if samp_file in ['er_samples.txt', 'pmag_samples.txt']:
samp_file = "samples.txt"
site_file = 'sites.txt'
fig, figname = ipmag.ani_depthplot(spec_file, samp_file, meas_file,
site_file, age_file, sum_file, fmt,
dmin, dmax, depth_scale, dir_path)
if save_quietly:
if dir_path == '.':
dir_path = os.getcwd()
plt.savefig(figname)
plt.clf()
print('Saved file: {}'.format(figname))
return False
app = wx.App(redirect=False)
if not fig:
pw.simple_warning(
'No plot was able to be created with the data you provided.\nMake sure you have given all the required information and try again'
)
return False
dpi = fig.get_dpi()
pixel_width = dpi * fig.get_figwidth()
pixel_height = dpi * fig.get_figheight()
figname = os.path.join(dir_path, figname)
plot_frame = pmag_menu_dialogs.PlotFrame(
(int(pixel_width), int(pixel_height + 50)),
fig,
figname,
standalone=True)
app.MainLoop()
def main():
"""
NAME
core_depthplot.py
DESCRIPTION
plots various measurements versus core_depth or age. plots data flagged as 'FS-SS-C' as discrete samples.
SYNTAX
core_depthplot.py [command line options]
# or, for Anaconda users:
core_depthplot_anaconda [command line options]
OPTIONS
-h prints help message and quits
-f FILE: specify input magic_measurments format file from magi
-fsum FILE: specify input LIMS database (IODP) core summary csv file
-fwig FILE: specify input depth,wiggle to plot, in magic format with sample_core_depth key for depth
-fsa FILE: specify input er_samples format file from magic for depth
-fa FILE: specify input er_ages format file from magic for age
NB: must have either -fsa OR -fa (not both)
-fsp FILE sym size: specify input zeq_specimen format file from magic, sym and size
NB: PCAs will have specified color, while fisher means will be white with specified color as the edgecolor
-fres FILE specify input pmag_results file from magic, sym and size
-LP [AF,T,ARM,IRM, X] step [in mT,C,mT,mT, mass/vol] to plot
-S do not plot blanket treatment data (if this is set, you don't need the -LP)
-sym SYM SIZE, symbol, size for continuous points (e.g., ro 5, bs 10, g^ 10 for red dot, blue square, green triangle), default is blue dot at 5 pt
-D do not plot declination
-M do not plot magnetization
-log plot magnetization on a log scale
-L do not connect dots with a line
-I do not plot inclination
-d min max [in m] depth range to plot
-n normalize by weight in er_specimen table
-Iex: plot the expected inc at lat - only available for results with lat info in file
-ts TS amin amax: plot the GPTS for the time interval between amin and amax (numbers in Ma)
TS: [ck95, gts04, gts12]
-ds [mbsf,mcd] specify depth scale, mbsf default
-fmt [svg, eps, pdf, png] specify output format for plot (default: svg)
-sav save plot silently
DEFAULTS:
Measurements file: magic_measurements.txt
Samples file: er_samples.txt
NRM step
Summary file: none
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe([ ['f', False, 'magic_measurements.txt'], ['fsum', False, ''],
['fwig', False, ''], ['fsa', False, ''],
['fa', False, ''], ['fsp', False, ''],
['fres', False, '' ], ['fmt', False, 'svg'],
['LP', False, ''], ['n', False, False],
['d', False, '-1 -1'], ['ts', False, ''],
['WD', False, '.'], ['L', False, True],
['S', False, True], ['D', False, True],
['I', False, True], ['M', False, True],
['log', False, 0],
['ds', False, 'sample_core_depth'],
['sym', False, 'bo 5'], ['ID', False, '.'],
['sav', False, False], ['DM', False, 3]])
checked_args = extractor.extract_and_check_args(args, dataframe)
meas_file, sum_file, wig_file, samp_file, age_file, spc_file, res_file, fmt, meth, norm, depth, timescale, dir_path, pltLine, pltSus, pltDec, pltInc, pltMag, logit, depth_scale, symbol, input_dir, save, data_model_num = extractor.get_vars(
['f', 'fsum', 'fwig', 'fsa', 'fa', 'fsp', 'fres', 'fmt', 'LP', 'n', 'd', 'ts', 'WD', 'L', 'S', 'D', 'I', 'M', 'log', 'ds', 'sym', 'ID', 'sav', 'DM'], checked_args)
# format some variables
# format symbol/size
try:
sym, size = symbol.split()
size = int(size)
except:
print('you should provide -sym in this format: ro 5')
print('using defaults instead')
sym, size = 'ro', 5
# format result file, symbol, size
if res_file:
try:
res_file, res_sym, res_size = res_file.split()
except:
print('you must provide -fres in this format: -fres filename symbol size')
print(
'could not parse {}, defaulting to using no result file'.format(res_file))
res_file, res_sym, res_size = '', '', 0
else:
res_file, res_sym, res_size = '', '', 0
# format specimen file, symbol, size
if spc_file:
try:
spc_file, spc_sym, spc_size = spc_file.split()
except:
print('you must provide -fsp in this format: -fsp filename symbol size')
print(
'could not parse {}, defaulting to using no specimen file'.format(spc_file))
spc_file, spc_sym, spc_size = '', '', 0
else:
spc_file, spc_sym, spc_size = '', '', 0
# format min/max depth
try:
dmin, dmax = depth.split()
except:
print('you must provide -d in this format: -d dmin dmax')
print('could not parse {}, defaulting to plotting all depths'.format(depth))
dmin, dmax = -1, -1
# format timescale, min/max time
if timescale:
try:
timescale, amin, amax = timescale.split()
pltTime = True
except:
print(
'you must provide -ts in this format: -ts timescale minimum_age maximum_age')
print(
'could not parse {}, defaulting to using no timescale'.format(timescale))
timescale, amin, amax = None, -1, -1
pltTime = False
else:
timescale, amin, amax = None, -1, -1
pltTime = False
# format norm and wt_file
if norm and not isinstance(norm, bool):
wt_file = norm
norm = True
else:
norm = False
wt_file = ''
# format list of protcols and step
try:
method, step = meth.split()
except:
print(
'To use the -LP flag you must provide both the protocol and the step in this format:\n-LP [AF,T,ARM,IRM, X] step [in mT,C,mT,mT, mass/vol] to plot')
print('Defaulting to using no protocol')
method, step = 'LT-NO', 0
# list of varnames
#['f', 'fsum', 'fwig', 'fsa', 'fa', 'fsp', 'fres', 'fmt', 'LP', 'n', 'd', 'ts', 'WD', 'L', 'S', 'D', 'I', 'M', 'log', 'ds', 'sym' ]
#meas_file, sum_file, wig_file, samp_file, age_file, spc_file, res_file, fmt, meth, norm, depth, timescale, dir_path, pltLine, pltSus, pltDec, pltInc, pltMag, logit, depth_scale, symbol
fig, figname = ipmag.core_depthplot(input_dir, meas_file, spc_file, samp_file, age_file, sum_file, wt_file, depth_scale, dmin, dmax, sym, size,
spc_sym, spc_size, method, step, fmt, pltDec, pltInc, pltMag, pltLine, pltSus, logit, pltTime, timescale, amin, amax, norm, data_model_num)
if not pmagplotlib.isServer:
figname = figname.replace(':', '_')
if fig and save:
print('-I- Created plot: {}'.format(figname))
plt.savefig(figname)
return
app = wx.App(redirect=False)
if not fig:
pw.simple_warning(
'No plot was able to be created with the data you provided.\nMake sure you have given all the required information and try again')
return False
dpi = fig.get_dpi()
pixel_width = dpi * fig.get_figwidth()
pixel_height = dpi * fig.get_figheight()
figname = os.path.join(dir_path, figname)
plot_frame = pmag_menu_dialogs.PlotFrame((int(pixel_width), int(pixel_height + 50)),
fig, figname, standalone=True)
app.MainLoop()
def main():
"""
NAME
azdip_magic.py
DESCRIPTION
takes space delimited AzDip file and converts to MagIC formatted tables
SYNTAX
azdip_magic.py [command line options]
OPTIONS
-f FILE: specify input file
-Fsa FILE: specify output file, default is: er_samples.txt
-ncn NCON: specify naming convention: default is #1 below
-mcd: specify sampling method codes as a colon delimited string: [default is: FS-FD]
FS-FD field sampling done with a drill
FS-H field sampling done with hand samples
FS-LOC-GPS field location done with GPS
FS-LOC-MAP field location done with map
SO-POM a Pomeroy orientation device was used
SO-ASC an ASC orientation device was used
SO-MAG orientation with magnetic compass
-loc: location name, default="unknown"
-app appends to existing er_samples.txt file, default is to overwrite
INPUT FORMAT
Input files must be space delimited:
Samp Az Dip Strike Dip
Orientation convention:
Lab arrow azimuth = mag_azimuth; Lab arrow dip = 90-field_dip
e.g. field_dip is degrees from horizontal of drill direction
Magnetic declination convention:
Az is already corrected in file
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name same as sample
[6] site is entered under a separate column -- NOT CURRENTLY SUPPORTED
[7-Z] [XXXX]YYY: XXXX is site designation with Z characters with sample name XXXXYYYY
NB: all others you will have to customize your self
or e-mail [email protected] for help.
OUTPUT
output saved in er_samples.txt will overwrite any existing files
"""
args = sys.argv
if "-h" in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe([['f', False, 'orient.txt'], ['Fsa', False, 'er_samples.txt'], ['ncn', False, "1"], ['mcd', False, 'FS-FD'], ['loc', False, 'unknown'], ['app', False, False], ['WD', False, '.'], ['ID', False, '.']])
checked_args = extractor.extract_and_check_args(args, dataframe)
print('checked_args:', checked_args)
orient_file, samp_file, samp_con, method_codes, location_name, append, output_dir, input_dir = extractor.get_vars(['f', 'Fsa', 'ncn', 'mcd', 'loc', 'app', 'WD', 'ID'], checked_args)
if len(str(samp_con)) > 1:
samp_con, Z = samp_con.split('-')
Z = float(Z)
else:
Z = 1
ipmag.azdip_magic(orient_file, samp_file, samp_con, Z, method_codes, location_name, append, output_dir, input_dir)
def main():
"""
NAME
k15_magic.py
DESCRIPTION
converts .k15 format data to magic_measurements format.
assums Jelinek Kappabridge measurement scheme
SYNTAX
k15_magic.py [-h] [command line options]
OPTIONS
-h prints help message and quits
-f KFILE: specify .k15 format input file
-F MFILE: specify magic_measurements format output file
-Fsa SFILE, specify er_samples format file for output
-Fa AFILE, specify rmag_anisotropy format file for output
-Fr RFILE, specify rmag_results format file for output
-loc LOC: specify location name for study
#-ins INST: specify instrument that measurements were made on # not implemented
-spc NUM: specify number of digits for specimen ID, default is 0
-ncn NCOM: specify naming convention (default is #1)
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXXYYY: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file -- NOT CURRENTLY SUPPORTED
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
DEFAULTS
MFILE: k15_measurements.txt
SFILE: er_samples.txt
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
LOC: unknown
INST: unknown
INPUT
name [az,pl,strike,dip], followed by
3 rows of 5 measurements for each specimen
"""
args = sys.argv
if '-h' in args:
print(do_help())
sys.exit()
#def k15_magic(k15file, specnum=0, sample_naming_con='1', er_location_name="unknown", measfile='magic_measurements.txt', sampfile="er_samples.txt", aniso_outfile='rmag_anisotropy.txt', result_file="rmag_results.txt", input_dir_path='.', output_dir_path='.'):
dataframe = extractor.command_line_dataframe(
[['f', True, ''], ['F', False, 'magic_measurements.txt'],
['Fsa', False,
'er_samples.txt'], ['Fa', False, 'rmag_anisotropy.txt'],
['Fr', False, 'rmag_results.txt'], ['spc', False, 0],
['ncn', False, '1'], ['loc', False, 'unknown'], ['WD', False, '.'],
['ID', False, '.'], ['DM', False, 2]])
checked_args = extractor.extract_and_check_args(args, dataframe)
k15file, measfile, sampfile, aniso_outfile, result_file, specnum, sample_naming_con, location_name, output_dir_path, input_dir_path, data_model_num = extractor.get_vars(
['f', 'F', 'Fsa', 'Fa', 'Fr', 'spc', 'ncn', 'loc', 'WD', 'ID', 'DM'],
checked_args)
program_ran, error_message = ipmag.k15_magic(
k15file,
specnum=specnum,
sample_naming_con=sample_naming_con,
er_location_name=location_name,
measfile=measfile,
sampfile=sampfile,
aniso_outfile=aniso_outfile,
result_file=result_file,
input_dir_path=input_dir_path,
output_dir_path=output_dir_path,
data_model_num=data_model_num)
## assign values to variables based on their associated command-line flag
#fmt, size, plot = get_vars(['fmt', 's', 'sav'], checked_args)
#print "fmt:", fmt, "size:", size, "plot:", plot
"""
def main():
"""
NAME
sufar4-asc_magic.py
DESCRIPTION
converts ascii files generated by SUFAR ver.4.0 to MagIC formated
files for use with PmagPy plotting software
SYNTAX
sufar4-asc_magic.py -h [command line options]
OPTIONS
-h: prints the help message and quits
-f FILE: specify .asc input file name
-fsp SINFILE: specify er_specimens input file with location, sample, site, etc. information
-F MFILE: specify measurements output file
-Fa AFILE: specify rmag_anisotropy output file # MagIC 2 only
-Fsi SFILE: specify specimens output file
-usr USER: specify who made the measurements
-loc LOC: specify location name for study
-ins INST: specify instrument used
-spc SPEC: specify number of characters to specify specimen from sample
-ncn NCON: specify naming convention: default is #2 below
-k15 : specify static 15 position mode - default is spinning
-new : replace all existing magic files
-or_con : specify orientation convention (default is AGICO defaults)
DEFAULTS
AFILE: rmag_anisotropy.txt # MagIC 2 only
SFILE: default is to create new specimen file
USER: ""
LOC: "unknown"
INST: ""
SPEC: 0 sample name is same as site (if SPEC is 1, sample is all but last character)
appends to specimen/sample/site files
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXX[YYY]: YYY is sample designation with Z characters from site XXX
[5] site name same as sample
[6] site name entered in site_name column in the orient.txt format input file -- NOT CURRENTLY SUPPORTED
[7-Z] [XXXX]YYY: XXXX is site designation with Z characters with sample name XXXXYYYY
NB: all others you will have to customize your self
or e-mail [email protected] for help.
[8] This is a synthetic
[9] ODP naming convention
orientation conventions:
[1] Standard Pomeroy convention of azimuth and hade (degrees from vertical down)
of the drill direction (field arrow). lab arrow azimuth= sample_azimuth = mag_azimuth;
lab arrow dip = sample_dip =-field_dip. i.e. the lab arrow dip is minus the hade.
[2] Field arrow is the strike of the plane orthogonal to the drill direction,
Field dip is the hade of the drill direction. Lab arrow azimuth = mag_azimuth-90
Lab arrow dip = -field_dip
[3] Lab arrow is the same as the drill direction;
hade was measured in the field.
Lab arrow azimuth = mag_azimuth; Lab arrow dip = 90-field_dip
[4] lab azimuth and dip are same as mag_azimuth, field_dip : use this for unoriented samples too
[5] Same as AZDIP convention explained below -
azimuth and inclination of the drill direction are mag_azimuth and field_dip;
lab arrow is as in [1] above.
lab azimuth is same as mag_azimuth,lab arrow dip=field_dip-90
[6] Lab arrow azimuth = mag_azimuth-90; Lab arrow dip = 90-field_dip
[7] see http://earthref.org/PmagPy/cookbook/#field_info for more information. You can customize other format yourself, or email [email protected] for help.
[8] Lab arrow azimuth = mag_azimuth-180; Lab arrow dip = 90-field_dip
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe(
[['WD', False, '.'], ['ID', False, ''], ['usr', False, ''],
['ncn', False, '1'], ['k15', False, False], ['ins', False, ''],
['f', True, ''], ['F', False, 'measurements.txt'],
['Fa', False, 'rmag_anisotropy.txt'], ['Fsi', False, 'specimens.txt'],
['loc', False, 'unknown'], ['spc', False, 0], ['fsi', False, None],
['DM', False, 3], ['or_con', False, None]])
#'WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi', 'loc', 'spc',
checked_args = extractor.extract_and_check_args(args, dataframe)
output_dir_path, input_dir_path, user, sample_naming_con, static_15_position_mode, instrument, ascfile, meas_output, aniso_output, spec_outfile, locname, specnum, spec_infile, data_model_num, or_con = extractor.get_vars(
[
'WD', 'ID', 'usr', 'ncn', 'k15', 'ins', 'f', 'F', 'Fa', 'Fsi',
'loc', 'spc', 'fsi', 'DM', 'or_con'
], checked_args)
convert.sufar4(ascfile,
meas_output,
aniso_output,
spec_infile,
spec_outfile,
specnum=specnum,
sample_naming_con=sample_naming_con,
user=user,
locname=locname,
instrument=instrument,
static_15_position_mode=static_15_position_mode,
dir_path=output_dir_path,
input_dir_path=input_dir_path,
data_model_num=data_model_num,
or_con=or_con)
def main():
"""
NAME
kly4s_magic.py
DESCRIPTION
converts files generated by SIO kly4S labview program to MagIC formated
files for use with PmagPy plotting software
SYNTAX
kly4s_magic.py -h [command line options]
OPTIONS
-h: prints the help message and quits
-f FILE: specify .ams input file name
-fad AZDIP: specify AZDIP file with orientations, will create er_samples.txt file
-fsa SFILE: specify existing er_samples.txt file with orientation information
-fsp SPFILE: specify existing er_specimens.txt file for appending
-F MFILE: specify magic_measurements output file
-Fa AFILE: specify rmag_anisotropy output file
-ocn ORCON: specify orientation convention: default is #3 below -only with AZDIP file
-usr USER: specify who made the measurements
-loc LOC: specify location name for study
-ins INST: specify instrument used
-spc SPEC: specify number of characters to specify specimen from sample
-ncn NCON: specify naming convention: default is #1 below
DEFAULTS
MFILE: magic_measurements.txt
AFILE: rmag_anisotropy.txt
SPFILE: create new er_specimens.txt file
USER: ""
LOC: "unknown"
INST: "SIO-KLY4S"
SPEC: 1 specimen name is same as sample (if SPEC is 1, sample is all but last character)
NOTES:
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXXYYY: YYY is sample designation with Z characters from site XXX
[5] site name = sample name
[6] site name entered in site_name column in the orient.txt format input file -- NOT CURRENTLY SUPPORTED
[7-Z] [XXX]YYY: XXX is site designation with Z characters from samples XXXYYY
NB: all others you will have to either customize your
self or e-mail [email protected] for help.
Orientation convention:
[1] Lab arrow azimuth= azimuth; Lab arrow dip=-dip
i.e., dip is degrees from vertical down - the hade [default]
[2] Lab arrow azimuth = azimuth-90; Lab arrow dip = -dip
i.e., azimuth is strike and dip is hade
[3] Lab arrow azimuth = azimuth; Lab arrow dip = dip-90
e.g. dip is degrees from horizontal of drill direction
[4] Lab arrow azimuth = azimuth; Lab arrow dip = dip
[5] Lab arrow azimuth = azimuth; Lab arrow dip = 90-dip
[6] all others you will have to either customize your
self or e-mail [email protected] for help.
"""
args = sys.argv
if '-h' in args:
print(main.__doc__)
sys.exit()
dataframe = extractor.command_line_dataframe(
[['f', True, ''], ['fad', False, ''], ['fsa', False, ''],
['fsp', False, ''], ['Fsp', False, 'specimens.txt'],
['F', False, 'measurements.txt'],
['Fa', False, 'rmag_anisotropy.txt'], ['ocn', False, '3'],
['usr', False, ''], ['loc', False, ''], ['ins', False, 'SIO-KLY4S'],
['spc', False, 0], ['ncn', False, '1'], ['WD', False, '.'],
['ID', False, '.'], ['DM', False, 3]])
checked_args = extractor.extract_and_check_args(args, dataframe)
infile, azdip_infile, samp_infile, spec_infile, spec_outfile, measfile, aniso_outfile, or_con, user, locname, inst, specnum, samp_con, output_dir_path, input_dir_path, data_model_num = extractor.get_vars(
[
'f', 'fad', 'fsa', 'fsp', 'Fsp', 'F', 'Fa', 'ocn', 'usr', 'loc',
'ins', 'spc', 'ncn', 'WD', 'ID', 'DM'
], checked_args)
convert.kly4s(infile,
specnum=specnum,
locname=locname,
inst=inst,
user=user,
measfile=measfile,
or_con=or_con,
samp_con=samp_con,
aniso_outfile=aniso_outfile,
samp_infile=samp_infile,
spec_infile=spec_infile,
spec_outfile=spec_outfile,
azdip_infile=azdip_infile,
dir_path=output_dir_path,
input_dir_path=input_dir_path,
data_model_num=data_model_num)
def main():
"""
NAME
k15_magic.py
DESCRIPTION
converts .k15 format data to magic_measurements format.
assums Jelinek Kappabridge measurement scheme
SYNTAX
k15_magic.py [-h] [command line options]
OPTIONS
-h prints help message and quits
-f KFILE: specify .k15 format input file
-F MFILE: specify magic_measurements format output file
-Fsa SFILE, specify er_samples format file for output
-Fa AFILE, specify rmag_anisotropy format file for output
-Fr RFILE, specify rmag_results format file for output
-loc LOC: specify location name for study
#-ins INST: specify instrument that measurements were made on # not implemented
-spc NUM: specify number of digits for specimen ID, default is 0
-ncn NCOM: specify naming convention (default is #1)
Sample naming convention:
[1] XXXXY: where XXXX is an arbitrary length site designation and Y
is the single character sample designation. e.g., TG001a is the
first sample from site TG001. [default]
[2] XXXX-YY: YY sample from site XXXX (XXX, YY of arbitary length)
[3] XXXX.YY: YY sample from site XXXX (XXX, YY of arbitary length)
[4-Z] XXXXYYY: YYY is sample designation with Z characters from site XXX
[5] sample = site
[6] sample, site, location info in er_samples.txt
[7] all others you will have to either customize your
DEFAULTS
MFILE: k15_measurements.txt
SFILE: er_samples.txt
AFILE: rmag_anisotropy.txt
RFILE: rmag_results.txt
LOC: unknown
INST: unknown
INPUT
name [az,pl,strike,dip], followed by
3 rows of 5 measurements for each specimen
"""
args = sys.argv
if '-h' in args:
print do_help()
sys.exit()
#def k15_magic(k15file, specnum=0, sample_naming_con='1', er_location_name="unknown", measfile='magic_measurements.txt', sampfile="er_samples.txt", aniso_outfile='rmag_anisotropy.txt', result_file="rmag_results.txt", input_dir_path='.', output_dir_path='.'):
dataframe = extractor.command_line_dataframe([['f', True, ''], ['F', False, 'magic_measurements.txt'], ['Fsa', False, 'er_samples.txt'], ['Fa', False, 'rmag_anisotropy.txt'], ['Fr', False, 'rmag_results.txt'], ['spc', False, 0], ['ncn', False, '1'], ['loc', False, 'unknown'], ['WD', False, '.'], ['ID', False, '.']])
checked_args = extractor.extract_and_check_args(args, dataframe)
k15file, measfile, sampfile, aniso_outfile, result_file, specnum, sample_naming_con, location_name, output_dir_path, input_dir_path = extractor.get_vars(['f', 'F', 'Fsa', 'Fa', 'Fr', 'spc', 'ncn', 'loc', 'WD', 'ID'], checked_args)
program_ran, error_message = ipmag.k15_magic(k15file, specnum=specnum, sample_naming_con=sample_naming_con, er_location_name=location_name, measfile=measfile, sampfile=sampfile, aniso_outfile=aniso_outfile, result_file=result_file, input_dir_path=input_dir_path, output_dir_path=output_dir_path)
## assign values to variables based on their associated command-line flag
#fmt, size, plot = get_vars(['fmt', 's', 'sav'], checked_args)
#print "fmt:", fmt, "size:", size, "plot:", plot
"""