def get_data_offline():
try:
pmag_dir = find_pmag_dir.get_pmag_dir()
the_file = os.path.join(pmag_dir, 'pmagpy', 'data_model', "MagIC-data-model.txt")
# if using with py2app, the directory structure is flat,
# so check to see where the resource actually is
if not os.path.exists(the_file):
the_file = os.path.join(pmag_dir, 'data_model', 'MagIC-data-model.txt')
data = open(the_file, 'rU')
return data
except IOError:
print "can't access MagIC-data-model at the moment\nif you are working offline, make sure MagIC-data-model.txt is in your PmagPy directory (or download it from https://github.com/ltauxe/PmagPy and put it in your PmagPy directory)\notherwise, check your internet connection"
return False
def get_data_offline():
try:
pmag_dir = find_pmag_dir.get_pmag_dir()
the_file = os.path.join(pmag_dir, 'pmagpy', 'data_model', "MagIC-data-model.txt")
# if using with py2app, the directory structure is flat,
# so check to see where the resource actually is
if not os.path.exists(the_file):
the_file = os.path.join(pmag_dir, 'data_model', 'MagIC-data-model.txt')
data = open(the_file, 'rU')
return data
except IOError:
print "can't access MagIC-data-model at the moment\nif you are working offline, make sure MagIC-data-model.txt is in your PmagPy directory (or download it from https://github.com/ltauxe/PmagPy and put it in your PmagPy directory)\notherwise, check your internet connection"
return False
#!/usr/bin/env python
import pandas as pd
from pandas import Series, DataFrame
import urllib2
import httplib
import json
import os
#import backup_vocabulary as backup
import find_pmag_dir
import data_model3
pmag_dir = find_pmag_dir.get_pmag_dir()
data_model_dir = os.path.join(pmag_dir, 'pmagpy', 'data_model')
# if using with py2app, the directory structure is flat,
# so check to see where the resource actually is
if not os.path.exists(data_model_dir):
data_model_dir = os.path.join(pmag_dir, 'data_model')
class Vocabulary(object):
def __init__(self):
self.vocabularies = []
self.possible_vocabularies = []
self.all_codes = []
self.code_types = []
self.methods = []
self.age_methods = []
## Get method codes
def get_meth_codes(self):
try:
#!/usr/bin/env python
import pandas as pd
from pandas import Series
import json
import os
import find_pmag_dir
pmag_dir = find_pmag_dir.get_pmag_dir()
data_model_dir = os.path.join(pmag_dir, 'pmagpy', 'data_model')
# if using with py2app, the directory structure is flat,
# so check to see where the resource actually is
if not os.path.exists(data_model_dir):
data_model_dir = os.path.join(pmag_dir, 'data_model')
class Vocabulary(object):
def __init__(self):
self.vocabularies = []
self.possible_vocabularies = []
self.all_codes = []
self.code_types = []
self.er_methods = []
self.pmag_methods = []
self.age_methods = []
def get_one_meth_type(self, mtype, method_list):
"""
Get all codes of one type (i.e., 'anisotropy_estimation')
"""
cond = method_list['dtype'] == mtype
codes = method_list[cond]