diff --git a/README.md b/README.md index 4fb0f68..d0b2632 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # pyIGRF ## What is pyIGRF? -This is a package of IGRF-13 (International Geomagnetic Reference Field) about python version. +This is a package of IGRF-14 (International Geomagnetic Reference Field) about python version. We can calculate magnetic field intensity and transform coordinate between GeoGraphical and GeoMagnetic. It don't need any Fortran compiler. But it needs NumPy package. @@ -28,7 +28,7 @@ the response is 7 float number about magnetic filed which is: - F: total intensity *unit: degree or nT* -If you want to use IGRF-13 more flexibly, you can use module *calculate*. +If you want to use IGRF-14 more flexibly, you can use module *calculate*. There is two function which is closer to Fortran. You can change it for different coordination. >```from pyIGRF import calculate``` @@ -37,5 +37,5 @@ Another module *load_coeffs* can be used to get *g[m][n]* or *h[m][n]* same as t -## Model Introduction and igrf13-coeffs File Download -https://www.ngdc.noaa.gov/IAGA/vmod/igrf.html +## Model Introduction and igrf14-coeffs File Download +https://www.ncei.noaa.gov/products/international-geomagnetic-reference-field \ No newline at end of file diff --git a/pyIGRF.egg-info/PKG-INFO b/pyIGRF.egg-info/PKG-INFO index 8930331..360b6a3 100644 --- a/pyIGRF.egg-info/PKG-INFO +++ b/pyIGRF.egg-info/PKG-INFO @@ -1,14 +1,14 @@ Metadata-Version: 1.0 Name: pyIGRF Version: 0.3.3 -Summary: IGRF-13 Model by Python +Summary: IGRF-14 Model by Python Home-page: https://github.com/zzyztyy/pyIGRF Author: zzyztyy Author-email: 2375672032@qq.com License: MIT Description: # pyIGRF ## What is pyIGRF? - This is a package of IGRF-13 (International Geomagnetic Reference Field) about python version. + This is a package of IGRF-14 (International Geomagnetic Reference Field) about python version. We can calculate magnetic field intensity and transform coordinate between GeoGraphical and GeoMagnetic. It don't need any Fortran compiler. But it needs NumPy package. @@ -36,7 +36,7 @@ Description: # pyIGRF - F: total intensity *unit: degree or nT* - If you want to use IGRF-13 more flexibly, you can use module *calculate*. + If you want to use IGRF-14 more flexibly, you can use module *calculate*. There is two function which is closer to Fortran. You can change it for different coordination. >```from pyIGRF import calculate``` @@ -45,7 +45,7 @@ Description: # pyIGRF - ## Model Introduction and igrf13-coeffs File Download + ## Model Introduction and igrf14-coeffs File Download https://www.ngdc.noaa.gov/IAGA/vmod/igrf.html Platform: UNKNOWN diff --git a/pyIGRF.egg-info/SOURCES.txt b/pyIGRF.egg-info/SOURCES.txt index de36b28..cbc4f94 100644 --- a/pyIGRF.egg-info/SOURCES.txt +++ b/pyIGRF.egg-info/SOURCES.txt @@ -10,4 +10,4 @@ pyIGRF.egg-info/SOURCES.txt pyIGRF.egg-info/dependency_links.txt pyIGRF.egg-info/requires.txt pyIGRF.egg-info/top_level.txt -pyIGRF/src/igrf13coeffs.txt \ No newline at end of file +pyIGRF/src/igrf14coeffs.txt \ No newline at end of file diff --git a/pyIGRF/calculate.py b/pyIGRF/calculate.py index c7bf2e1..8c468c6 100644 --- a/pyIGRF/calculate.py +++ b/pyIGRF/calculate.py @@ -44,8 +44,8 @@ def igrf12syn(date, itype, alt, lat, elong): definitive, otherwise they are non-definitive. INPUT date = year A.D. Must be greater than or equal to 1900.0 and - less than or equal to 2025.0. Warning message is given - for dates greater than 2020.0. Must be double precision. + less than or equal to 2030.0. Warning message is given + for dates greater than 2025.0. Must be double precision. itype = 1 if geodetic (spheroid) itype = 2 if geocentric (sphere) alt = height in km above sea level if itype = 1 @@ -78,10 +78,10 @@ def igrf12syn(date, itype, alt, lat, elong): p, q, cl, sl = [0.] * 105, [0.] * 105, [0.] * 13, [0.] * 13 x, y, z = 0., 0., 0. - if date < 1900.0 or date > 2025.0: + if date < 1900.0 or date > 2030.0: f = 1.0 print('This subroutine will not work with a date of ' + str(date)) - print('Date must be in the range 1900.0 <= date <= 2025.0') + print('Date must be in the range 1900.0 <= date <= 2030.0') print('On return f = 1.0, x = y = z = 0') return x, y, z, f diff --git a/pyIGRF/loadCoeffs.py b/pyIGRF/loadCoeffs.py index d0826a4..385ec33 100644 --- a/pyIGRF/loadCoeffs.py +++ b/pyIGRF/loadCoeffs.py @@ -33,7 +33,7 @@ def load_coeffs(filename): return gh -gh = load_coeffs(os.path.dirname(os.path.abspath(__file__)) + '/src/igrf13coeffs.txt') +gh = load_coeffs(os.path.dirname(os.path.abspath(__file__)) + '/src/igrf14coeffs.txt') def get_coeffs(date): @@ -47,19 +47,24 @@ def get_coeffs(date): print('Date must be in the range 1900.0 <= date <= 2030.0') print('On return [], []') return [], [] - elif date >= 2020.0: - if date > 2025.0: + elif date >= 2025.0: + if date > 2030.0: # not adapt for the model but can calculate - print('This version of the IGRF is intended for use up to 2025.0.') + print('This version of the IGRF is intended for use up to 2030.0.') print('values for ' + str(date) + ' will be computed but may be of reduced accuracy') - t = date - 2020.0 + t = date - 2025.0 tc = 1.0 # pointer for last coefficient in pen-ultimate set of MF coefficients... - ll = 3060+195 nmx = 13 nc = nmx * (nmx + 2) + ll = int(0.2 * (2025 - 1995.0)) + # 19 is the number of SH models that extend to degree 10 + ll = 120 * 19 + nc * ll + # ll = 3255+195 # + # nmx = 13 + # nc = nmx * (nmx + 2) else: - t = 0.2 * (date - 1900.0) + t = (date - 1900.0)/5 ll = int(t) t = t - ll # SH models before 1995.0 are only to degree 10 diff --git a/pyIGRF/src/igrf13coeffs.txt b/pyIGRF/src/igrf14coeffs.txt similarity index 88% rename from pyIGRF/src/igrf13coeffs.txt rename to pyIGRF/src/igrf14coeffs.txt index 9b362e0..13e7122 100644 --- a/pyIGRF/src/igrf13coeffs.txt +++ b/pyIGRF/src/igrf14coeffs.txt @@ -1,199 +1,199 @@ -# 13th Generation International Geomagnetic Reference Field Schmidt semi-normalised spherical harmonic coefficients, degree n=1,13 +# 14th Generation International Geomagnetic Reference Field Schmidt semi-normalised spherical harmonic coefficients, degree n=1,13 # in units nanoTesla for IGRF and definitive DGRF main-field models (degree n=1,8 nanoTesla/year for secular variation (SV)) -c/s deg ord 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 SV -g/h n m 1900.0 1905.0 1910.0 1915.0 1920.0 1925.0 1930.0 1935.0 1940.0 1945.0 1950.0 1955.0 1960.0 1965.0 1970.0 1975.0 1980.0 1985.0 1990.0 1995.0 2000.0 2005.0 2010.0 2015.0 2020.0 2020-25 -g 1 0 -31543 -31464 -31354 -31212 -31060 -30926 -30805 -30715 -30654 -30594 -30554 -30500 -30421 -30334 -30220 -30100 -29992 -29873 -29775 -29692 -29619.4 -29554.63 -29496.57 -29441.46 -29404.8 5.7 -g 1 1 -2298 -2298 -2297 -2306 -2317 -2318 -2316 -2306 -2292 -2285 -2250 -2215 -2169 -2119 -2068 -2013 -1956 -1905 -1848 -1784 -1728.2 -1669.05 -1586.42 -1501.77 -1450.9 7.4 -h 1 1 5922 5909 5898 5875 5845 5817 5808 5812 5821 5810 5815 5820 5791 5776 5737 5675 5604 5500 5406 5306 5186.1 5077.99 4944.26 4795.99 4652.5 -25.9 -g 2 0 -677 -728 -769 -802 -839 -893 -951 -1018 -1106 -1244 -1341 -1440 -1555 -1662 -1781 -1902 -1997 -2072 -2131 -2200 -2267.7 -2337.24 -2396.06 -2445.88 -2499.6 -11.0 -g 2 1 2905 2928 2948 2956 2959 2969 2980 2984 2981 2990 2998 3003 3002 2997 3000 3010 3027 3044 3059 3070 3068.4 3047.69 3026.34 3012.20 2982.0 -7.0 -h 2 1 -1061 -1086 -1128 -1191 -1259 -1334 -1424 -1520 -1614 -1702 -1810 -1898 -1967 -2016 -2047 -2067 -2129 -2197 -2279 -2366 -2481.6 -2594.50 -2708.54 -2845.41 -2991.6 -30.2 -g 2 2 924 1041 1176 1309 1407 1471 1517 1550 1566 1578 1576 1581 1590 1594 1611 1632 1663 1687 1686 1681 1670.9 1657.76 1668.17 1676.35 1677.0 -2.1 -h 2 2 1121 1065 1000 917 823 728 644 586 528 477 381 291 206 114 25 -68 -200 -306 -373 -413 -458.0 -515.43 -575.73 -642.17 -734.6 -22.4 -g 3 0 1022 1037 1058 1084 1111 1140 1172 1206 1240 1282 1297 1302 1302 1297 1287 1276 1281 1296 1314 1335 1339.6 1336.30 1339.85 1350.33 1363.2 2.2 -g 3 1 -1469 -1494 -1524 -1559 -1600 -1645 -1692 -1740 -1790 -1834 -1889 -1944 -1992 -2038 -2091 -2144 -2180 -2208 -2239 -2267 -2288.0 -2305.83 -2326.54 -2352.26 -2381.2 -5.9 -h 3 1 -330 -357 -389 -421 -445 -462 -480 -494 -499 -499 -476 -462 -414 -404 -366 -333 -336 -310 -284 -262 -227.6 -198.86 -160.40 -115.29 -82.1 6.0 -g 3 2 1256 1239 1223 1212 1205 1202 1205 1215 1232 1255 1274 1288 1289 1292 1278 1260 1251 1247 1248 1249 1252.1 1246.39 1232.10 1225.85 1236.2 3.1 -h 3 2 3 34 62 84 103 119 133 146 163 186 206 216 224 240 251 262 271 284 293 302 293.4 269.72 251.75 245.04 241.9 -1.1 -g 3 3 572 635 705 778 839 881 907 918 916 913 896 882 878 856 838 830 833 829 802 759 714.5 672.51 633.73 581.69 525.7 -12.0 -h 3 3 523 480 425 360 293 229 166 101 43 -11 -46 -83 -130 -165 -196 -223 -252 -297 -352 -427 -491.1 -524.72 -537.03 -538.70 -543.4 0.5 -g 4 0 876 880 884 887 889 891 896 903 914 944 954 958 957 957 952 946 938 936 939 940 932.3 920.55 912.66 907.42 903.0 -1.2 -g 4 1 628 643 660 678 695 711 727 744 762 776 792 796 800 804 800 791 782 780 780 780 786.8 797.96 808.97 813.68 809.5 -1.6 -h 4 1 195 203 211 218 220 216 205 188 169 144 136 133 135 148 167 191 212 232 247 262 272.6 282.07 286.48 283.54 281.9 -0.1 -g 4 2 660 653 644 631 616 601 584 565 550 544 528 510 504 479 461 438 398 361 325 290 250.0 210.65 166.58 120.49 86.3 -5.9 -h 4 2 -69 -77 -90 -109 -134 -163 -195 -226 -252 -276 -278 -274 -278 -269 -266 -265 -257 -249 -240 -236 -231.9 -225.23 -211.03 -188.43 -158.4 6.5 -g 4 3 -361 -380 -400 -416 -424 -426 -422 -415 -405 -421 -408 -397 -394 -390 -395 -405 -419 -424 -423 -418 -403.0 -379.86 -356.83 -334.85 -309.4 5.2 -h 4 3 -210 -201 -189 -173 -153 -130 -109 -90 -72 -55 -37 -23 3 13 26 39 53 69 84 97 119.8 145.15 164.46 180.95 199.7 3.6 -g 4 4 134 146 160 178 199 217 234 249 265 304 303 290 269 252 234 216 199 170 141 122 111.3 100.00 89.40 70.38 48.0 -5.1 -h 4 4 -75 -65 -55 -51 -57 -70 -90 -114 -141 -178 -210 -230 -255 -269 -279 -288 -297 -297 -299 -306 -303.8 -305.36 -309.72 -329.23 -349.7 -5.0 -g 5 0 -184 -192 -201 -211 -221 -230 -237 -241 -241 -253 -240 -229 -222 -219 -216 -218 -218 -214 -214 -214 -218.8 -227.00 -230.87 -232.91 -234.3 -0.3 -g 5 1 328 328 327 327 326 326 327 329 334 346 349 360 362 358 359 356 357 355 353 352 351.4 354.41 357.29 360.14 363.2 0.5 -h 5 1 -210 -193 -172 -148 -122 -96 -72 -51 -33 -12 3 15 16 19 26 31 46 47 46 46 43.8 42.72 44.58 46.98 47.7 0.0 -g 5 2 264 259 253 245 236 226 218 211 208 194 211 230 242 254 262 264 261 253 245 235 222.3 208.95 200.26 192.35 187.8 -0.6 -h 5 2 53 56 57 58 58 58 60 64 71 95 103 110 125 128 139 148 150 150 154 165 171.9 180.25 189.01 196.98 208.3 2.5 -g 5 3 5 -1 -9 -16 -23 -28 -32 -33 -33 -20 -20 -23 -26 -31 -42 -59 -74 -93 -109 -118 -130.4 -136.54 -141.05 -140.94 -140.7 0.2 -h 5 3 -33 -32 -33 -34 -38 -44 -53 -64 -75 -67 -87 -98 -117 -126 -139 -152 -151 -154 -153 -143 -133.1 -123.45 -118.06 -119.14 -121.2 -0.6 -g 5 4 -86 -93 -102 -111 -119 -125 -131 -136 -141 -142 -147 -152 -156 -157 -160 -159 -162 -164 -165 -166 -168.6 -168.05 -163.17 -157.40 -151.2 1.3 -h 5 4 -124 -125 -126 -126 -125 -122 -118 -115 -113 -119 -122 -121 -114 -97 -91 -83 -78 -75 -69 -55 -39.3 -19.57 -0.01 15.98 32.3 3.0 -g 5 5 -16 -26 -38 -51 -62 -69 -74 -76 -76 -82 -76 -69 -63 -62 -56 -49 -48 -46 -36 -17 -12.9 -13.55 -8.03 4.30 13.5 0.9 -h 5 5 3 11 21 32 43 51 58 64 69 82 80 78 81 81 83 88 92 95 97 107 106.3 103.85 101.04 100.12 98.9 0.3 -g 6 0 63 62 62 61 61 61 60 59 57 59 54 47 46 45 43 45 48 53 61 68 72.3 73.60 72.78 69.55 66.0 -0.5 -g 6 1 61 60 58 57 55 54 53 53 54 57 57 57 58 61 64 66 66 65 65 67 68.2 69.56 68.69 67.57 65.5 -0.3 -h 6 1 -9 -7 -5 -2 0 3 4 4 4 6 -1 -9 -10 -11 -12 -13 -15 -16 -16 -17 -17.4 -20.33 -20.90 -20.61 -19.1 0.0 -g 6 2 -11 -11 -11 -10 -10 -9 -9 -8 -7 6 4 3 1 8 15 28 42 51 59 68 74.2 76.74 75.92 72.79 72.9 0.4 -h 6 2 83 86 89 93 96 99 102 104 105 100 99 96 99 100 100 99 93 88 82 72 63.7 54.75 44.18 33.30 25.1 -1.6 -g 6 3 -217 -221 -224 -228 -233 -238 -242 -246 -249 -246 -247 -247 -237 -228 -212 -198 -192 -185 -178 -170 -160.9 -151.34 -141.40 -129.85 -121.5 1.3 -h 6 3 2 4 5 8 11 14 19 25 33 16 33 48 60 68 72 75 71 69 69 67 65.1 63.63 61.54 58.74 52.8 -1.3 -g 6 4 -58 -57 -54 -51 -46 -40 -32 -25 -18 -25 -16 -8 -1 4 2 1 4 4 3 -1 -5.9 -14.58 -22.83 -28.93 -36.2 -1.4 -h 6 4 -35 -32 -29 -26 -22 -18 -16 -15 -15 -9 -12 -16 -20 -32 -37 -41 -43 -48 -52 -58 -61.2 -63.53 -66.26 -66.64 -64.5 0.8 -g 6 5 59 57 54 49 44 39 32 25 18 21 12 7 -2 1 3 6 14 16 18 19 16.9 14.58 13.10 13.14 13.5 0.0 -h 6 5 36 32 28 23 18 13 8 4 0 -16 -12 -12 -11 -8 -6 -4 -2 -1 1 1 0.7 0.24 3.02 7.35 8.9 0.0 -g 6 6 -90 -92 -95 -98 -101 -103 -104 -106 -107 -104 -105 -107 -113 -111 -112 -111 -108 -102 -96 -93 -90.4 -86.36 -78.09 -70.85 -64.7 0.9 -h 6 6 -69 -67 -65 -62 -57 -52 -46 -40 -33 -39 -30 -24 -17 -7 1 11 17 21 24 36 43.8 50.94 55.40 62.41 68.1 1.0 -g 7 0 70 70 71 72 73 73 74 74 74 70 65 65 67 75 72 71 72 74 77 77 79.0 79.88 80.44 81.29 80.6 -0.1 -g 7 1 -55 -54 -54 -54 -54 -54 -54 -53 -53 -40 -55 -56 -56 -57 -57 -56 -59 -62 -64 -72 -74.0 -74.46 -75.00 -75.99 -76.7 -0.2 -h 7 1 -45 -46 -47 -48 -49 -50 -51 -52 -52 -45 -35 -50 -55 -61 -70 -77 -82 -83 -80 -69 -64.6 -61.14 -57.80 -54.27 -51.5 0.6 -g 7 2 0 0 1 2 2 3 4 4 4 0 2 2 5 4 1 1 2 3 2 1 0.0 -1.65 -4.55 -6.79 -8.2 0.0 -h 7 2 -13 -14 -14 -14 -14 -14 -15 -17 -18 -18 -17 -24 -28 -27 -27 -26 -27 -27 -26 -25 -24.2 -22.57 -21.20 -19.53 -16.9 0.6 -g 7 3 34 33 32 31 29 27 25 23 20 0 1 10 15 13 14 16 21 24 26 28 33.3 38.73 45.24 51.82 56.5 0.7 -h 7 3 -10 -11 -12 -12 -13 -14 -14 -14 -14 2 0 -4 -6 -2 -4 -5 -5 -2 0 4 6.2 6.82 6.54 5.59 2.2 -0.8 -g 7 4 -41 -41 -40 -38 -37 -35 -34 -33 -31 -29 -40 -32 -32 -26 -22 -14 -12 -6 -1 5 9.1 12.30 14.00 15.07 15.8 0.1 -h 7 4 -1 0 1 2 4 5 6 7 7 6 10 8 7 6 8 10 16 20 21 24 24.0 25.35 24.96 24.45 23.5 -0.2 -g 7 5 -21 -20 -19 -18 -16 -14 -12 -11 -9 -10 -7 -11 -7 -6 -2 0 1 4 5 4 6.9 9.37 10.46 9.32 6.4 -0.5 -h 7 5 28 28 28 28 28 29 29 29 29 28 36 28 23 26 23 22 18 17 17 17 14.8 10.93 7.03 3.27 -2.2 -1.1 -g 7 6 18 18 18 19 19 19 18 18 17 15 5 9 17 13 13 12 11 10 9 8 7.3 5.42 1.64 -2.88 -7.2 -0.8 -h 7 6 -12 -12 -13 -15 -16 -17 -18 -19 -20 -17 -18 -20 -18 -23 -23 -23 -23 -23 -23 -24 -25.4 -26.32 -27.61 -27.50 -27.2 0.1 -g 7 7 6 6 6 6 6 6 6 6 5 29 19 18 8 1 -2 -5 -2 0 0 -2 -1.2 1.94 4.92 6.61 9.8 0.8 -h 7 7 -22 -22 -22 -22 -22 -21 -20 -19 -19 -22 -16 -18 -17 -12 -11 -12 -10 -7 -4 -6 -5.8 -4.64 -3.28 -2.32 -1.8 0.3 -g 8 0 11 11 11 11 11 11 11 11 11 13 22 11 15 13 14 14 18 21 23 25 24.4 24.80 24.41 23.98 23.7 0.0 -g 8 1 8 8 8 8 7 7 7 7 7 7 15 9 6 5 6 6 6 6 5 6 6.6 7.62 8.21 8.89 9.7 0.1 -h 8 1 8 8 8 8 8 8 8 8 8 12 5 10 11 7 7 6 7 8 10 11 11.9 11.20 10.84 10.04 8.4 -0.2 -g 8 2 -4 -4 -4 -4 -3 -3 -3 -3 -3 -8 -4 -6 -4 -4 -2 -1 0 0 -1 -6 -9.2 -11.73 -14.50 -16.78 -17.6 -0.1 -h 8 2 -14 -15 -15 -15 -15 -15 -15 -15 -14 -21 -22 -15 -14 -12 -15 -16 -18 -19 -19 -21 -21.5 -20.88 -20.03 -18.26 -15.3 0.6 -g 8 3 -9 -9 -9 -9 -9 -9 -9 -9 -10 -5 -1 -14 -11 -14 -13 -12 -11 -11 -10 -9 -7.9 -6.88 -5.59 -3.16 -0.5 0.4 -h 8 3 7 7 6 6 6 6 5 5 5 -12 0 5 7 9 6 4 4 5 6 8 8.5 9.83 11.83 13.18 12.8 -0.2 -g 8 4 1 1 1 2 2 2 2 1 1 9 11 6 2 0 -3 -8 -7 -9 -12 -14 -16.6 -18.11 -19.34 -20.56 -21.1 -0.1 -h 8 4 -13 -13 -13 -13 -14 -14 -14 -15 -15 -7 -21 -23 -18 -16 -17 -19 -22 -23 -22 -23 -21.5 -19.71 -17.41 -14.60 -11.7 0.5 -g 8 5 2 2 2 3 4 4 5 6 6 7 15 10 10 8 5 4 4 4 3 9 9.1 10.17 11.61 13.33 15.3 0.4 -h 8 5 5 5 5 5 5 5 5 5 5 2 -8 3 4 4 6 6 9 11 12 15 15.5 16.22 16.71 16.16 14.9 -0.3 -g 8 6 -9 -8 -8 -8 -7 -7 -6 -6 -5 -10 -13 -7 -5 -1 0 0 3 4 4 6 7.0 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0.0 -0.10 -0.26 -0.35 -0.46 -0.5 0.0 +h 13 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.5 -0.57 -0.53 -0.43 -0.36 -0.3 0.0 +g 13 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.1 -0.18 -0.26 -0.36 -0.40 -0.4 0.0 +h 13 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 -0.9 -0.82 -0.79 -0.71 -0.60 -0.5 0.0 diff --git a/setup.py b/setup.py index 36cc2ae..500748a 100644 --- a/setup.py +++ b/setup.py @@ -7,10 +7,10 @@ setup( name="pyIGRF", - version="0.3.3", + version="0.3.4", author="zzyztyy", author_email="2375672032@qq.com", - description="IGRF-13 Model by Python", + description="IGRF-14 Model by Python", long_description=open("README.md").read(), license="MIT", url="https://github.com/zzyztyy/pyIGRF", @@ -18,5 +18,5 @@ install_requires=[ "NumPy" ], - package_data={'': ['src/igrf13coeffs.txt']} + package_data={'': ['src/igrf14coeffs.txt']} ) diff --git a/test/test.py b/test/test.py new file mode 100644 index 0000000..c49b879 --- /dev/null +++ b/test/test.py @@ -0,0 +1,86 @@ +import numpy as np +import pyIGRF +import datetime as dt + +ref0={ + 'year': 2025.03288, + 'lat': 0, + 'lon': 0, + 'alt': 500, + 'D': -4.47021, + 'I': -26.58303, + 'H': 21616, + 'X': 21550.0, + 'Y': -1684.8, + 'Z': -10816.4, + 'F': 24171.0, +} +D0,I0,H0,X0,Y0,Z0,F0=pyIGRF.igrf_value( + lat=ref0['lat'], + lon=ref0['lon'], + alt=ref0['alt'], + year=ref0['year'] + ) +print(D0-ref0['D']) +print(I0-ref0['I']) +print(H0-ref0['H']) +print(X0-ref0['X']) +print(Y0-ref0['Y']) +print(Z0-ref0['Z']) +print(F0-ref0['F']) + + +ref1={ + 'year': 2025.03288, + 'lat': 0, + 'lon': 0, + 'alt': 0, + 'D': -4.00974, + 'I': -30.1659, + 'H': 27523.0, + 'X': 27455.6, + 'Y': -1924.6, + 'Z': -15996.8, + 'F': 31834.1 +} +D1,I1,H1,X1,Y1,Z1,F1=pyIGRF.igrf_value( + lat=ref1['lat'], + lon=ref1['lon'], + alt=ref1['alt'], + year=ref1['year'] + ) +print(D1-ref1['D']) +print(I1-ref1['I']) +print(H1-ref1['H']) +print(X1-ref1['X']) +print(Y1-ref1['Y']) +print(Z1-ref1['Z']) +print(F1-ref1['F']) + +ref3={ + 'year': 2020.0, + 'lat': 0, + 'lon': 0, + 'alt': 500, + 'D': -5.09983, + 'I': -26.52093, + 'H': 21697.7, + 'X': 21611.8, + 'Y': -1928.7, + 'Z': -10828.0, + 'F': 24249.4 +} +D3,I3,H3,X3,Y3,Z3,F3=pyIGRF.igrf_value( + lat=ref3['lat'], + lon=ref3['lon'], + alt=ref3['alt'], + year=ref3['year'] + ) +print(D3-ref3['D']) +print(I3-ref3['I']) +print(H3-ref3['H']) +print(X3-ref3['X']) +print(Y3-ref3['Y']) +print(Z3-ref3['Z']) +print(F3-ref3['F']) +