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convert-data.py
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convert-data.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from numpy import *
modelType = [
'IGRF', 'IGRF', 'IGRF', 'IGRF',
'IGRF', 'IGRF', 'IGRF', 'IGRF',
'IGRF', 'DGRF', 'DGRF', 'DGRF',
'DGRF', 'DGRF', 'DGRF', 'DGRF',
'DGRF', 'DGRF', 'DGRF', 'DGRF',
'DGRF', 'DGRF', 'DGRF', 'DGRF',
'IGRF', 'IGRF'
]
modelYear = [
'1900', '1905', '1910', '1915',
'1920', '1925', '1930', '1935',
'1940', '1945', '1950', '1955',
'1960', '1965', '1970', '1975',
'1980', '1985', '1990', '1995',
'2000', '2005', '2010', '2015',
'2020', '2020s'
]
names = ['g/h', 'n', 'm']
types = ['S1', 'i4', 'i4']
for mdl in modelYear:
names.append(mdl)
types.append('f4')
data = loadtxt(
fname = 'igrf13coeffs.txt',
dtype = {
'names': tuple(names),
'formats': tuple(types)
},
comments='#',
skiprows=4
)
maskGVals = data['g/h'] == 'g'
maskHVals = data['g/h'] == 'h'
for index in xrange(len(modelType)):
fullname = modelType[index].lower() + modelYear[index] + '.dat'
print(fullname)
gMatrix = zeros(shape=(14, 14))
hMatrix = zeros(shape=(14, 14))
maxNonZero = 14
yearData = data[modelYear[index]]
for curN in xrange(1, 13+1):
maskCurN = (data['n'] == curN)
for curM in xrange(0, curN+1):
maskCurM = (data['m'] == curM)
fullGMask = maskGVals * maskCurM * maskCurN
fullHMask = maskHVals * maskCurM * maskCurN
gValue = yearData[fullGMask]
hValue = yearData[fullHMask]
gMatrix[curN,curM] = gValue[0]
if len(hValue) != 0:
hMatrix[curN,curM] = hValue[0]
for curN in xrange(1, 13+1):
if len(gMatrix[gMatrix[curN] != 0.0]) == 0:
maxNonZero = curN
break
with open(fullname, 'w') as output:
output.write(
' {}\n'.format(
modelType[index].lower() + modelYear[index]
)
)
output.write(
' {} {} {}\n'.format(
maxNonZero-1, 6371.2, modelYear[index]
)
)
for curN in xrange(1, maxNonZero):
for curM in xrange(0, curN+1):
output.write(
'{} {} {} {}\n'.format(
curN, curM, round(gMatrix[curN,curM], 2), round(hMatrix[curN,curM], 2)
)
)