{
"cells": [
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"{'ATF_FILE': 'CTX_Athabasca_Middle_step0.atf',\n",
" 'GP_FILE': 'CTX_Athabasca_Middle.gpf',\n",
" 'IMAGE_IPF': ['P19_008344_1894_XN_09N203W.ipf',\n",
" 'P20_008845_1894_XN_09N203W.ipf',\n",
" 'P03_002371_1888_XI_08N204W.ipf',\n",
" 'P01_001540_1889_XI_08N204W.ipf',\n",
" 'P01_001606_1897_XI_09N203W.ipf',\n",
" 'P03_002226_1895_XI_09N203W.ipf'],\n",
" 'IMAGE_SUP': ['P19_008344_1894_XN_09N203W.sup',\n",
" 'P20_008845_1894_XN_09N203W.sup',\n",
" 'P03_002371_1888_XI_08N204W.sup',\n",
" 'P01_001540_1889_XI_08N204W.sup',\n",
" 'P01_001606_1897_XI_09N203W.sup',\n",
" 'P03_002226_1895_XI_09N203W.sup'],\n",
" 'PATH': '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet',\n",
" 'PROJECT': 'D:\\\\data\\\\CTX_Athabasca_Middle.prj'}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import os\n",
"import numpy as np\n",
"from plio.examples import get_path\n",
"\n",
"# Reads a .atf file and outputs all of the \n",
"# .ipf, .gpf, .sup, .prj, and path to locate the \n",
"# .apf file (should be the same as all others) \n",
"def read_atf(atf_file):\n",
" with open(get_path(atf_file)) as f:\n",
" \n",
" atf_file = get_path(atf_file);\n",
" \n",
" files = []\n",
" ipf = []\n",
" sup = []\n",
" files_dict = []\n",
" \n",
" # Grabs every PRJ, GPF, SUP, and IPF image from the ATF file\n",
" for line in f:\n",
" if line[-4:-1] == 'prj' or line[-4:-1] == 'gpf' or line[-4:-1] == 'sup' or line[-4:-1] == 'ipf' or line[-4:-1] == 'atf':\n",
" files.append(line)\n",
" \n",
" files = np.array(files)\n",
" \n",
" # Creates appropriate arrays for certain files in the right format\n",
" for file in files:\n",
" file = file.strip()\n",
" file = file.split(' ')\n",
"\n",
" # Grabs all the IPF files\n",
" if file[1].endswith('.ipf'):\n",
" ipf.append(file[1])\n",
"\n",
" # Grabs all the SUP files\n",
" if file[1].endswith('.sup'):\n",
" sup.append(file[1])\n",
"\n",
" files_dict.append(file)\n",
"\n",
" # Creates a dict out of file lists for GPF, PRJ, IPF, and ATF\n",
" files_dict = (dict(files_dict))\n",
" \n",
" # Sets the value of IMAGE_IPF to all IPF images\n",
" files_dict['IMAGE_IPF'] = ipf\n",
" \n",
" # Sets the value of IMAGE_SUP to all SUP images\n",
" files_dict['IMAGE_SUP'] = sup\n",
" \n",
" # Sets the value of PATH to the path of the ATF file\n",
" files_dict['PATH'] = os.path.dirname(os.path.abspath(atf_file))\n",
" \n",
" return files_dict\n",
" \n",
"read_atf('CTX_Athabasca_Middle_step0.atf')"
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import sys\n",
"import math\n",
"\n",
"sys.path.insert(0, os.path.abspath('/home/tthatcher/Desktop/Projects/Plio/plio'))\n",
"\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"from plio.examples import get_path\n",
"from plio.io.io_bae import read_gpf\n",
"from plio.io.io_gdal import GeoDataset\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def read_ipf(input_data):\n",
" \"\"\"\n",
" Read a socet ipf file into a pandas data frame\n",
"\n",
" Parameters\n",
" ----------\n",
" input_data : str\n",
" path to the an input data file\n",
"\n",
" Returns\n",
" -------\n",
" df : pd.DataFrame\n",
" containing the ipf data with appropriate column names and indices\n",
" \"\"\"\n",
"\n",
" # Check that the number of rows is matching the expected number\n",
" with open(input_data, 'r') as f:\n",
" for i, l in enumerate(f):\n",
" if i == 1:\n",
" cnt = int(l)\n",
" elif i == 2:\n",
" col = l\n",
" break\n",
"\n",
" # TODO: Add unicode conversion\n",
"\n",
" d = [line.split() for line in open(input_data, 'r')]\n",
" d = np.hstack(np.array(d[3:]))\n",
" d = d.reshape(-1, 12)\n",
"\n",
" assert int(cnt) == len(d), 'Dataframe length {} does not match point length {}.'.format(int(cnt), len(df))\n",
"\n",
" return d\n",
"\n",
"def read_ipfs(input_data_list):\n",
" \"\"\"\n",
" Read a socet ipf file into a pandas data frame\n",
"\n",
" Parameters\n",
" ----------\n",
" input_data_list : list\n",
" list of paths to the a set of input data files\n",
"\n",
" Returns\n",
" -------\n",
" df : pd.DataFrame\n",
" containing the ipf data with appropriate column names and indices\n",
" \"\"\"\n",
"\n",
" columns = np.genfromtxt(input_data_list[0], skip_header=2, dtype='unicode',\n",
" max_rows = 1, delimiter = ',')\n",
"\n",
" d_total = []\n",
"\n",
" for input_file in input_data_list:\n",
" d = read_ipf(input_file)\n",
" for point in d:\n",
" d_total.append(point)\n",
"\n",
" df = pd.DataFrame(d_total, columns=columns)\n",
"\n",
" # Soft conversion of numeric types to numerics, allows str in first col for point_id\n",
" df = df.apply(pd.to_numeric, errors='ignore')\n",
"\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P20_008845_1894_XN_09N203W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P03_002371_1888_XI_08N204W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P01_001540_1889_XI_08N204W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P01_001606_1897_XI_09N203W.ipf', '/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/SocetSet/P03_002226_1895_XI_09N203W.ipf']\n"
]
}
],
"source": [
"gpf_file = get_path('CTX_Athabasca_Middle.gpf');\n",
"\n",
"ipf_list = [get_path('P20_008845_1894_XN_09N203W.ipf'),\n",
" get_path('P03_002371_1888_XI_08N204W.ipf'),\n",
" get_path('P01_001540_1889_XI_08N204W.ipf'),\n",
" get_path('P01_001606_1897_XI_09N203W.ipf'),\n",
" get_path('P03_002226_1895_XI_09N203W.ipf'),]\n",
"\n",
"# ipf_list = [get_path('P20_008845_1894_XN_09N203W.ipf')]\n",
"\n",
"print(ipf_list)\n",
"gpf_df = read_gpf(gpf_file).set_index('point_id')\n",
"ipf_df = read_ipfs(ipf_list).set_index('pt_id')\n",
"# ipf_df.to_csv(\"/Users/adampaquette/repos/plio/plio/examples/SocetSet/P20_008845_1894_XN_09N203W.csv\")"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
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" <td>15.191825</td>\n",
" <td>22.094037</td>\n",
" <td>544.874936</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>809 rows × 22 columns</p>\n",
"</div>"
],
"text/plain": [
" val fid_val no_obs l. s. \\\n",
"10_8344_8845_4r 1 0 0 -4044.697510 1008.950928 \n",
"10_8344_8845_4r 1 0 0 1700.584473 -2390.001709 \n",
"10_8344_8845_4r 1 0 0 2006.141113 -2234.915283 \n",
"11_8344_8845_4r 1 0 0 -761.216064 2303.787109 \n",
"11_8344_8845_4r 1 0 0 4985.437988 -1070.364990 \n",
"11_8344_8845_4r 1 0 0 5293.700195 -993.390625 \n",
"12_8344_8845_4r 1 0 0 -889.364441 966.533997 \n",
"12_8344_8845_4r 1 0 0 4856.525391 -2439.154785 \n",
"12_8344_8845_4r 1 0 0 5158.205566 -2295.737549 \n",
"13_8344_8845_4r 1 0 0 -2559.871338 1777.522827 \n",
"13_8344_8845_4r 1 0 0 3186.063232 -1598.743530 \n",
"13_8344_8845_4r 1 0 0 3493.876221 -1493.029175 \n",
"14_8344_8845_4r 1 0 0 2385.278320 2476.032227 \n",
"14_8344_8845_4r 1 0 0 8131.361816 -902.645325 \n",
"14_8344_8845_4r 1 0 0 8437.115234 -842.309326 \n",
"15_8344_8845_4r_mt_z 1 0 0 2395.869385 1038.165405 \n",
"15_8344_8845_4r_mt_z 1 0 0 8142.054688 -2364.445557 \n",
"15_8344_8845_4r_mt_z 1 0 0 8440.085938 -2219.049805 \n",
"16_8344_8845_4r 1 0 0 756.099792 1785.494751 \n",
"16_8344_8845_4r 1 0 0 6502.070313 -1593.964233 \n",
"16_8344_8845_4r 1 0 0 6805.896973 -1493.774048 \n",
"17_8344_8845_2r_mt_z 1 0 0 -3138.269531 442.515503 \n",
"18_8344_8845_2r 1 0 0 -1773.864990 354.084259 \n",
"19_8344_8845_2r_mt_z 1 0 0 -92.482826 723.305237 \n",
"1_8344_8845_4r 1 0 0 -4058.982422 -2318.010742 \n",
"1_8344_8845_4r 1 0 0 -6144.898438 677.674805 \n",
"1_8344_8845_4r 1 0 0 -5284.357910 504.304413 \n",
"20_8344_8845_2r_mt_z 1 0 0 1434.079712 742.064026 \n",
"21_8344_8845_4r_xyz 1 0 0 -838.991028 -614.524109 \n",
"21_8344_8845_4r_xyz 1 0 0 -2919.093018 2467.773926 \n",
"... ... ... ... ... ... \n",
"P20_008845_1894_XN_09N203W_16 1 0 2 2865.000000 2024.000000 \n",
"P20_008845_1894_XN_09N203W_16 1 0 1 8611.724609 -1352.647949 \n",
"P20_008845_1894_XN_09N203W_16 1 0 1 8914.713867 -1261.989868 \n",
"P20_008845_1894_XN_09N203W_17 1 0 2 3175.000000 1974.000000 \n",
"P20_008845_1894_XN_09N203W_17 1 0 1 8921.941406 -1402.745361 \n",
"P20_008845_1894_XN_09N203W_17 1 0 1 9224.031250 -1309.074219 \n",
"P20_008845_1894_XN_09N203W_18 1 0 2 2872.000000 1565.000000 \n",
"P20_008845_1894_XN_09N203W_18 1 0 1 8617.777344 -1818.614380 \n",
"P20_008845_1894_XN_09N203W_18 1 0 1 8918.806641 -1701.755249 \n",
"P20_008845_1894_XN_09N203W_2 1 0 0 -3389.000000 -2155.000000 \n",
"P20_008845_1894_XN_09N203W_2 1 0 1 -5474.326660 842.207031 \n",
"P20_008845_1894_XN_09N203W_2 1 0 0 -4613.785645 643.217224 \n",
"P20_008845_1894_XN_09N203W_3 1 0 0 -2913.000000 -2000.000000 \n",
"P20_008845_1894_XN_09N203W_3 1 0 1 -4997.791504 1000.375854 \n",
"P20_008845_1894_XN_09N203W_3 1 0 0 -4137.536133 774.480347 \n",
"P20_008845_1894_XN_09N203W_4 1 0 1 -3226.000000 167.000000 \n",
"P20_008845_1894_XN_09N203W_5 1 0 1 -2934.000000 -6.000000 \n",
"P20_008845_1894_XN_09N203W_5 1 0 0 -4165.228516 2507.076660 \n",
"P20_008845_1894_XN_09N203W_6 1 0 3 -3378.000000 1532.000000 \n",
"P20_008845_1894_XN_09N203W_6 1 0 1 2367.587646 -1849.272095 \n",
"P20_008845_1894_XN_09N203W_6 1 0 1 2675.137207 -1730.558105 \n",
"P20_008845_1894_XN_09N203W_7 1 0 3 -3378.000000 1672.000000 \n",
"P20_008845_1894_XN_09N203W_7 1 0 1 2367.507813 -1706.241821 \n",
"P20_008845_1894_XN_09N203W_7 1 0 1 2675.892578 -1596.527100 \n",
"P20_008845_1894_XN_09N203W_8 1 0 3 -2793.000000 1837.000000 \n",
"P20_008845_1894_XN_09N203W_8 1 0 1 2953.094727 -1538.956543 \n",
"P20_008845_1894_XN_09N203W_8 1 0 1 3261.290039 -1439.873169 \n",
"P20_008845_1894_XN_09N203W_9 1 0 0 -780.000000 -1953.000000 \n",
"P20_008845_1894_XN_09N203W_9 1 0 0 -2866.689453 1031.006104 \n",
"P20_008845_1894_XN_09N203W_9 1 0 0 -2002.366211 824.604126 \n",
"\n",
" sig_l sig_s res_l res_s fid_x \\\n",
"10_8344_8845_4r 0.000000 0.000000 0.063678 0.661294 0.0 \n",
"10_8344_8845_4r 0.000000 0.000000 -0.063695 -1.055619 0.0 \n",
"10_8344_8845_4r 0.000000 0.000000 0.318779 -0.585138 0.0 \n",
"11_8344_8845_4r 0.000000 0.000000 -0.247307 -0.587299 0.0 \n",
"11_8344_8845_4r 0.000000 0.000000 0.239207 1.080801 0.0 \n",
"11_8344_8845_4r 0.000000 0.000000 0.672877 0.626316 0.0 \n",
"12_8344_8845_4r 0.000000 0.000000 -0.251753 0.008170 0.0 \n",
"12_8344_8845_4r 0.000000 0.000000 0.133406 0.068024 0.0 \n",
"12_8344_8845_4r 0.000000 0.000000 0.487209 0.036399 0.0 \n",
"13_8344_8845_4r 0.000000 0.000000 -0.131265 -0.305102 0.0 \n",
"13_8344_8845_4r 0.000000 0.000000 0.019201 0.485372 0.0 \n",
"13_8344_8845_4r 0.000000 0.000000 0.568393 0.146750 0.0 \n",
"14_8344_8845_4r 0.000000 0.000000 0.389532 -0.299258 0.0 \n",
"14_8344_8845_4r 0.000000 0.000000 -0.469784 0.023018 0.0 \n",
"14_8344_8845_4r 0.000000 0.000000 0.289877 -0.829150 0.0 \n",
"15_8344_8845_4r_mt_z 0.000000 0.000000 -0.170850 0.372485 0.0 \n",
"15_8344_8845_4r_mt_z 0.000000 0.000000 -0.072035 -0.832436 0.0 \n",
"15_8344_8845_4r_mt_z 0.000000 0.000000 0.274030 -0.850105 0.0 \n",
"16_8344_8845_4r 0.000000 0.000000 0.165338 -0.327408 0.0 \n",
"16_8344_8845_4r 0.000000 0.000000 -0.007916 0.463232 0.0 \n",
"16_8344_8845_4r 0.000000 0.000000 0.328896 0.019526 0.0 \n",
"17_8344_8845_2r_mt_z 0.000000 0.000000 -0.023370 -0.248643 0.0 \n",
"18_8344_8845_2r 0.000000 0.000000 -0.002223 -0.000684 0.0 \n",
"19_8344_8845_2r_mt_z 0.000000 0.000000 -0.214498 0.145192 0.0 \n",
"1_8344_8845_4r 0.000000 0.000000 -0.062556 -0.214713 0.0 \n",
"1_8344_8845_4r 0.000000 0.000000 -0.069161 0.311984 0.0 \n",
"1_8344_8845_4r 0.000000 0.000000 0.002209 0.194239 0.0 \n",
"20_8344_8845_2r_mt_z 0.000000 0.000000 -0.058132 -0.171782 0.0 \n",
"21_8344_8845_4r_xyz 0.000000 0.000000 -0.131313 0.997120 0.0 \n",
"21_8344_8845_4r_xyz 0.000000 0.000000 -0.469767 -0.745137 0.0 \n",
"... ... ... ... ... ... \n",
"P20_008845_1894_XN_09N203W_16 0.000000 0.000000 -0.053859 0.035981 0.0 \n",
"P20_008845_1894_XN_09N203W_16 0.015722 0.015722 -0.153906 -0.039881 0.0 \n",
"P20_008845_1894_XN_09N203W_16 0.023530 0.023530 0.691574 -0.075730 0.0 \n",
"P20_008845_1894_XN_09N203W_17 0.000000 0.000000 -0.064058 0.044374 0.0 \n",
"P20_008845_1894_XN_09N203W_17 0.017650 0.017650 -0.016220 -0.049595 0.0 \n",
"P20_008845_1894_XN_09N203W_17 0.030802 0.030802 0.567955 -0.078411 0.0 \n",
"P20_008845_1894_XN_09N203W_18 0.000000 0.000000 0.256228 0.218860 0.0 \n",
"P20_008845_1894_XN_09N203W_18 0.114295 0.114295 -0.500861 -0.252638 0.0 \n",
"P20_008845_1894_XN_09N203W_18 0.022017 0.022017 0.734173 -0.074947 0.0 \n",
"P20_008845_1894_XN_09N203W_2 0.000000 0.000000 -0.073150 -0.271173 0.0 \n",
"P20_008845_1894_XN_09N203W_2 0.275627 0.275627 0.164525 0.349547 0.0 \n",
"P20_008845_1894_XN_09N203W_2 0.091086 0.091086 0.132736 0.239899 0.0 \n",
"P20_008845_1894_XN_09N203W_3 0.000000 0.000000 -0.088180 -0.049593 0.0 \n",
"P20_008845_1894_XN_09N203W_3 0.132941 0.132941 0.257260 0.117777 0.0 \n",
"P20_008845_1894_XN_09N203W_3 0.185544 0.185544 0.199301 0.065777 0.0 \n",
"P20_008845_1894_XN_09N203W_4 0.000000 0.000000 -0.195774 -0.000066 0.0 \n",
"P20_008845_1894_XN_09N203W_5 0.000000 0.000000 -0.049005 0.437424 0.0 \n",
"P20_008845_1894_XN_09N203W_5 0.000000 0.000000 0.447100 -0.219764 0.0 \n",
"P20_008845_1894_XN_09N203W_6 0.000000 0.000000 0.026541 0.063346 0.0 \n",
"P20_008845_1894_XN_09N203W_6 0.025110 0.025110 -0.040890 -0.136247 0.0 \n",
"P20_008845_1894_XN_09N203W_6 0.064276 0.064276 0.546035 -0.185103 0.0 \n",
"P20_008845_1894_XN_09N203W_7 0.000000 0.000000 0.055623 0.013456 0.0 \n",
"P20_008845_1894_XN_09N203W_7 0.047435 0.047435 -0.157931 -0.042074 0.0 \n",
"P20_008845_1894_XN_09N203W_7 0.058218 0.058218 0.589561 -0.111421 0.0 \n",
"P20_008845_1894_XN_09N203W_8 0.000000 0.000000 -0.117483 -0.229337 0.0 \n",
"P20_008845_1894_XN_09N203W_8 0.023364 0.023364 0.177406 0.403161 0.0 \n",
"P20_008845_1894_XN_09N203W_8 0.023538 0.023538 0.575510 0.180705 0.0 \n",
"P20_008845_1894_XN_09N203W_9 0.000000 0.000000 0.298743 -0.045963 0.0 \n",
"P20_008845_1894_XN_09N203W_9 0.000000 0.000000 -0.038437 0.471309 0.0 \n",
"P20_008845_1894_XN_09N203W_9 0.397616 0.397616 -0.141172 0.105223 0.0 \n",
"\n",
" ... known lat_Y_North long_X_East \\\n",
"10_8344_8845_4r ... 0 0.159378 2.724649 \n",
"10_8344_8845_4r ... 0 0.159378 2.724649 \n",
"10_8344_8845_4r ... 0 0.159378 2.724649 \n",
"11_8344_8845_4r ... 0 0.164905 2.721815 \n",
"11_8344_8845_4r ... 0 0.164905 2.721815 \n",
"11_8344_8845_4r ... 0 0.164905 2.721815 \n",
"12_8344_8845_4r ... 0 0.164949 2.724076 \n",
"12_8344_8845_4r ... 0 0.164949 2.724076 \n",
"12_8344_8845_4r ... 0 0.164949 2.724076 \n",
"13_8344_8845_4r ... 0 0.161840 2.723059 \n",
"13_8344_8845_4r ... 0 0.161840 2.723059 \n",
"13_8344_8845_4r ... 0 0.161840 2.723059 \n",
"14_8344_8845_4r ... 0 0.170415 2.720880 \n",
"14_8344_8845_4r ... 0 0.170415 2.720880 \n",
"14_8344_8845_4r ... 0 0.170415 2.720880 \n",
"15_8344_8845_4r_mt_z ... 1 0.170723 2.723266 \n",
"15_8344_8845_4r_mt_z ... 1 0.170723 2.723266 \n",
"15_8344_8845_4r_mt_z ... 1 0.170723 2.723266 \n",
"16_8344_8845_4r ... 0 0.167682 2.722359 \n",
"16_8344_8845_4r ... 0 0.167682 2.722359 \n",
"16_8344_8845_4r ... 0 0.167682 2.722359 \n",
"17_8344_8845_2r_mt_z ... 1 0.161092 2.725426 \n",
"18_8344_8845_2r ... 0 0.163515 2.725299 \n",
"19_8344_8845_2r_mt_z ... 1 0.166403 2.724323 \n",
"1_8344_8845_4r ... 0 0.160037 2.730339 \n",
"1_8344_8845_4r ... 0 0.160037 2.730339 \n",
"1_8344_8845_4r ... 0 0.160037 2.730339 \n",
"20_8344_8845_2r_mt_z ... 1 0.169088 2.723969 \n",
"21_8344_8845_4r_xyz ... 3 0.165360 2.726740 \n",
"21_8344_8845_4r_xyz ... 3 0.165360 2.726740 \n",
"... ... ... ... ... \n",
"P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519 \n",
"P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519 \n",
"P20_008845_1894_XN_09N203W_16 ... 0 0.171351 2.721519 \n",
"P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537 \n",
"P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537 \n",
"P20_008845_1894_XN_09N203W_17 ... 0 0.171907 2.721537 \n",
"P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281 \n",
"P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281 \n",
"P20_008845_1894_XN_09N203W_18 ... 0 0.171455 2.722281 \n",
"P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925 \n",
"P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925 \n",
"P20_008845_1894_XN_09N203W_2 ... 0 0.161184 2.729925 \n",
"P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563 \n",
"P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563 \n",
"P20_008845_1894_XN_09N203W_3 ... 0 0.161992 2.729563 \n",
"P20_008845_1894_XN_09N203W_4 ... 0 0.160994 2.725912 \n",
"P20_008845_1894_XN_09N203W_5 ... 0 0.161544 2.726149 \n",
"P20_008845_1894_XN_09N203W_5 ... 0 0.161544 2.726149 \n",
"P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639 \n",
"P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639 \n",
"P20_008845_1894_XN_09N203W_6 ... 0 0.160447 2.723639 \n",
"P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407 \n",
"P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407 \n",
"P20_008845_1894_XN_09N203W_7 ... 0 0.160419 2.723407 \n",
"P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012 \n",
"P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012 \n",
"P20_008845_1894_XN_09N203W_8 ... 0 0.161417 2.723012 \n",
"P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053 \n",
"P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053 \n",
"P20_008845_1894_XN_09N203W_9 ... 0 0.165741 2.729053 \n",
"\n",
" ht sigma0 sigma1 sigma2 \\\n",
"10_8344_8845_4r -2523.828227 0.0 0.0 25.000000 \n",
"10_8344_8845_4r -2523.828227 0.0 0.0 25.000000 \n",
"10_8344_8845_4r -2523.828227 0.0 0.0 25.000000 \n",
"11_8344_8845_4r -2445.237027 0.0 0.0 30.000000 \n",
"11_8344_8845_4r -2445.237027 0.0 0.0 30.000000 \n",
"11_8344_8845_4r -2445.237027 0.0 0.0 30.000000 \n",
"12_8344_8845_4r -2606.935163 0.0 0.0 100.000000 \n",
"12_8344_8845_4r -2606.935163 0.0 0.0 100.000000 \n",
"12_8344_8845_4r -2606.935163 0.0 0.0 100.000000 \n",
"13_8344_8845_4r -2551.901554 0.0 0.0 4.536068 \n",
"13_8344_8845_4r -2551.901554 0.0 0.0 4.536068 \n",
"13_8344_8845_4r -2551.901554 0.0 0.0 4.536068 \n",
"14_8344_8845_4r -2505.953426 0.0 0.0 5.000000 \n",
"14_8344_8845_4r -2505.953426 0.0 0.0 5.000000 \n",
"14_8344_8845_4r -2505.953426 0.0 0.0 5.000000 \n",
"15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000 \n",
"15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000 \n",
"15_8344_8845_4r_mt_z -2502.470000 0.0 0.0 5.000000 \n",
"16_8344_8845_4r -2558.312931 0.0 0.0 1.707214 \n",
"16_8344_8845_4r -2558.312931 0.0 0.0 1.707214 \n",
"16_8344_8845_4r -2558.312931 0.0 0.0 1.707214 \n",
"17_8344_8845_2r_mt_z -2590.130000 0.0 0.0 2.000000 \n",
"18_8344_8845_2r -2608.227033 0.0 0.0 1.000000 \n",
"19_8344_8845_2r_mt_z -2597.460000 0.0 0.0 2.000000 \n",
"1_8344_8845_4r -2539.150747 0.0 0.0 4.000000 \n",
"1_8344_8845_4r -2539.150747 0.0 0.0 4.000000 \n",
"1_8344_8845_4r -2539.150747 0.0 0.0 4.000000 \n",
"20_8344_8845_2r_mt_z -2522.470000 0.0 0.0 2.000000 \n",
"21_8344_8845_4r_xyz -2209.490000 2.0 2.0 1.000000 \n",
"21_8344_8845_4r_xyz -2209.490000 2.0 2.0 1.000000 \n",
"... ... ... ... ... \n",
"P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_16 -2499.843797 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_17 -2504.618390 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_18 -2514.431453 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_2 -2535.712262 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_3 -2525.215515 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_4 -2562.446851 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_5 -2560.812028 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_5 -2560.812028 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_6 -2605.266130 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_7 -2619.498291 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_8 -2608.028730 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000 \n",
"P20_008845_1894_XN_09N203W_9 -2586.686862 0.0 0.0 0.000000 \n",
"\n",
" res0 res1 res2 \n",
"10_8344_8845_4r 18.301328 44.206259 416.201741 \n",
"10_8344_8845_4r 18.301328 44.206259 416.201741 \n",
"10_8344_8845_4r 18.301328 44.206259 416.201741 \n",
"11_8344_8845_4r -22.046575 103.403228 173.210013 \n",
"11_8344_8845_4r -22.046575 103.403228 173.210013 \n",
"11_8344_8845_4r -22.046575 103.403228 173.210013 \n",
"12_8344_8845_4r -7.549561 93.170584 180.058858 \n",
"12_8344_8845_4r -7.549561 93.170584 180.058858 \n",
"12_8344_8845_4r -7.549561 93.170584 180.058858 \n",
"13_8344_8845_4r -1.643694 74.244153 319.554535 \n",
"13_8344_8845_4r -1.643694 74.244153 319.554535 \n",
"13_8344_8845_4r -1.643694 74.244153 319.554535 \n",
"14_8344_8845_4r -50.069808 144.316524 -164.540707 \n",
"14_8344_8845_4r -50.069808 144.316524 -164.540707 \n",
"14_8344_8845_4r -50.069808 144.316524 -164.540707 \n",
"15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023 \n",
"15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023 \n",
"15_8344_8845_4r_mt_z -34.817656 145.864550 0.214023 \n",
"16_8344_8845_4r -29.465246 121.908506 19.874949 \n",
"16_8344_8845_4r -29.465246 121.908506 19.874949 \n",
"16_8344_8845_4r -29.465246 121.908506 19.874949 \n",
"17_8344_8845_2r_mt_z -10.779830 38.761214 0.236077 \n",
"18_8344_8845_2r -22.636068 54.092590 524.603661 \n",
"19_8344_8845_2r_mt_z -42.271359 76.834077 -0.138177 \n",
"1_8344_8845_4r 49.937532 -24.131687 639.699743 \n",
"1_8344_8845_4r 49.937532 -24.131687 639.699743 \n",
"1_8344_8845_4r 49.937532 -24.131687 639.699743 \n",
"20_8344_8845_2r_mt_z -56.910236 91.282891 0.161681 \n",
"21_8344_8845_4r_xyz -0.780598 -3.284978 -0.443885 \n",
"21_8344_8845_4r_xyz -0.780598 -3.284978 -0.443885 \n",
"... ... ... ... \n",
"P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834 \n",
"P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834 \n",
"P20_008845_1894_XN_09N203W_16 -43.211361 193.404135 -393.931834 \n",
"P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606 \n",
"P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606 \n",
"P20_008845_1894_XN_09N203W_17 -44.880108 199.649337 -441.559606 \n",
"P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238 \n",
"P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238 \n",
"P20_008845_1894_XN_09N203W_18 -38.388316 195.050373 -391.289238 \n",
"P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625 \n",
"P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625 \n",
"P20_008845_1894_XN_09N203W_2 42.067289 -12.658160 627.742625 \n",
"P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181 \n",
"P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181 \n",
"P20_008845_1894_XN_09N203W_3 36.033823 -4.170818 616.480181 \n",
"P20_008845_1894_XN_09N203W_4 -7.233876 33.324946 574.887719 \n",
"P20_008845_1894_XN_09N203W_5 7.498790 33.109007 581.149470 \n",
"P20_008845_1894_XN_09N203W_5 7.498790 33.109007 581.149470 \n",
"P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663 \n",
"P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663 \n",
"P20_008845_1894_XN_09N203W_6 7.687475 59.859663 375.680663 \n",
"P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988 \n",
"P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988 \n",
"P20_008845_1894_XN_09N203W_7 6.358447 61.278242 375.840988 \n",
"P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684 \n",
"P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684 \n",
"P20_008845_1894_XN_09N203W_8 -0.219662 71.414267 336.409684 \n",
"P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936 \n",
"P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936 \n",
"P20_008845_1894_XN_09N203W_9 15.191825 22.094037 544.874936 \n",
"\n",
"[809 rows x 22 columns]"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"new_df = ipf_df.merge(gpf_df, left_index=True, right_index=True)\n",
"# print(new_df.columns)\n",
"new_df.index('')"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"P20_008845_1894_XN_09N203W_7\n"
]
},
{
"ename": "IndexError",
"evalue": "only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-52-9c95896b4ea2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0msup_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mfiles\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mfiles_dict\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.sup'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 7\u001b[0m \u001b[0msup_dict\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.sup'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mfiles\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'.sup'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;32m~/anaconda3/envs/autocnet/lib/python3.6/site-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1741\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1742\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1743\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mgetitem\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1744\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1745\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mIndexError\u001b[0m: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices"
]
}
],
"source": [
"files_dict = read_atf('CTX_Athabasca_Middle_step0.atf')['IMAGE_SUP']\n",
"\n",
"lines_samples_dict = {}\n",
"for key in files_dict:\n",
" with open(key) as f:\n",
" if f[0:5] == 'LINES':\n",
" lines_samples_dict[]\n",
" if f[0:7] == 'SAMPLES':\n",
" lines_samples_dict\n",
"print(new_df.index[800])\n",
"sup_dict = {}\n",
"for index in new_df['l.']:\n",
" if index in files_dict:\n",
" new_df['l.'] = \n",
"\n",
"print(sup_dict)\n",
" \n",
" atf_file = get_path(atf_file);\n",
" \n",
" files = []\n",
" ipf = []\n",
" sup = []\n",
" files_dict = []\n",
" \n",
" # Grabs every PRJ, GPF, SUP, and IPF image from the ATF file\n",
" for line in f:\n",
" if line[-4:-1] == 'prj' or line[-4:-1] == 'gpf' or line[-4:-1] == 'sup' or line[-4:-1] == 'ipf' or line[-4:-1] == 'atf':\n",
" files.append(line)\n",
" \n",
" files = np.array(files)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"diff = ipf_df.index.difference(pd.unique(gpf_df.index))\n",
"\n",
"total_similar = 0\n",
"for i in gpf_df.index:\n",
" for j in pd.unique(ipf_df.index):\n",
" if i == j:\n",
" total_similar += 1\n",
"diff"
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"GEOGCS[\"unnamed ellipse\",\n",
" DATUM[\"unknown\",\n",
" SPHEROID[\"Unknown\",1737400,0]],\n",
" PRIMEM[\"Greenwich\",0],\n",
" UNIT[\"Degree\",0.017453292519943295]]\n",
"GEOGCS[\"unnamed ellipse\",\n",
" DATUM[\"unknown\",\n",
" SPHEROID[\"Unknown\",1737400,0]],\n",
" PRIMEM[\"Greenwich\",0],\n",
" UNIT[\"Degree\",0.017453292519943295]]\n"
]
}
],
"source": [
"\n",
"# double ToPlanetocentric3(const double lattitude, double eRadius, double pRadius)\n",
"# {\n",
"\n",
"# double mylat = (lattitude-90.0)*DegToRad;\n",
"# if(fabs(mylat)<90.0)\n",
"# {\n",
"# mylat = atan((tan(mylat) * (pRadius/eRadius) * (pRadius/eRadius)) );\n",
"# }\n",
"# return (mylat*RadToDeg)+90.0;\n",
"# }\n",
"\n",
"\n",
"\n",
"# double ToPlanetocentric4(const double lattitude, double eRadius, double pRadius)\n",
"# {\n",
"\n",
"# double mylat = (lattitude-90.0)*DegToRad;\n",
"# if(fabs(mylat)<90.0)\n",
"# {\n",
"# double oe = acos(pRadius/eRadius);\n",
"# double csqrd = cos(oe)*cos(oe);\n",
"# mylat = atan(csqrd*tan(mylat));\n",
"# }\n",
"# return (mylat*RadToDeg)+90.0;\n",
"# }\n",
"\n",
"\n",
"test = GeoDataset('/home/tthatcher/Desktop/Projects/Plio/plio/plio/examples/Apollo15/AS15-M-0295_SML_geo.tif')\n",
"\n",
"print(test.spatial_reference)\n",
"print(test.geospatial_coordinate_system)\n",
"def ToPlanetocentric3(lat, eRadius, pRadius):\n",
" mylat = math.radians(lat - 90.0)\n",
" \n",
" if(math.fabs(mylat) < 90.0):\n",
" mylat = math.atan(math.tan(mylat) * (pRadius/eRadius) * (pRadius/eRadius))\n",
" \n",
" return math.degrees(mylat) + 90.0\n",
"\n",
"def ToPlanetocentric4(lat, eRadius, pRadius):\n",
" mylat = math.radians(lat - 90.0)\n",
" \n",
" if(math.fabs(mylat) < 90.0):\n",
" oe = math.acos(pRadius/eRadius)\n",
" cos_squared = math.cos(oe)**2\n",
" mylat = math.atan(cos_squared*(math.tan(mylat)))\n",
" \n",
" return math.degrees(mylat) + 90.0"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
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