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drvinceknight/Writing a latex table from python.ipynb

Created October 14, 2016 09:43
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Writing a latex table from python.ipynb
{
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{
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" ('C', 'D'): 0.3224603148813061,\n",
" ('D', 'C'): 0.4984408914907503,\n",
" ('D', 'D'): 0.4986465918650089},\n",
" (9, 9): {('C', 'C'): 0.6700681513152942,\n",
" ('C', 'D'): 0.2019913087994536,\n",
" ('D', 'C'): 0.6097706104167804,\n",
" ('D', 'D'): 0.21877309687215574},\n",
" (9, 10): {('C', 'C'): 0.340220315051032,\n",
" ('C', 'D'): 0.9625664632546818,\n",
" ('D', 'C'): 0.8990080380310076,\n",
" ('D', 'D'): 0.8181183809177941},\n",
" (10, 1): {('C', 'C'): 0.035468261876012264,\n",
" ('C', 'D'): 0.14836688246192975,\n",
" ('D', 'C'): 0.2568819120719038,\n",
" ('D', 'D'): 0.7841665681891542},\n",
" (10, 2): {('C', 'C'): 0.8423333270773672,\n",
" ('C', 'D'): 0.5829481802462215,\n",
" ('D', 'C'): 0.7181316517768294,\n",
" ('D', 'D'): 0.8070553799750758},\n",
" (10, 3): {('C', 'C'): 0.06635913103778524,\n",
" ('C', 'D'): 0.08464313683307012,\n",
" ('D', 'C'): 0.8688953140043785,\n",
" ('D', 'D'): 0.03941582937802879},\n",
" (10, 4): {('C', 'C'): 0.22509065367649606,\n",
" ('C', 'D'): 0.04063202664590093,\n",
" ('D', 'C'): 0.015285139969726802,\n",
" ('D', 'D'): 0.8439546856924078},\n",
" (10, 5): {('C', 'C'): 0.3305943672500803,\n",
" ('C', 'D'): 0.1606900602627206,\n",
" ('D', 'C'): 0.1488194902889095,\n",
" ('D', 'D'): 0.656083661770337},\n",
" (10, 6): {('C', 'C'): 0.9685982716927071,\n",
" ('C', 'D'): 0.5049996926056783,\n",
" ('D', 'C'): 0.9010904768840049,\n",
" ('D', 'D'): 0.5024285989524275},\n",
" (10, 7): {('C', 'C'): 0.5738724774915492,\n",
" ('C', 'D'): 0.6785713567893591,\n",
" ('D', 'C'): 0.805109989032137,\n",
" ('D', 'D'): 0.7578463822613826},\n",
" (10, 8): {('C', 'C'): 0.9905325627055622,\n",
" ('C', 'D'): 0.7469653891501328,\n",
" ('D', 'C'): 0.9057807233528663,\n",
" ('D', 'D'): 0.20610483206558328},\n",
" (10, 9): {('C', 'C'): 0.535416304328581,\n",
" ('C', 'D'): 0.5986142636674691,\n",
" ('D', 'C'): 0.8256966171603538,\n",
" ('D', 'D'): 0.4822135630659161},\n",
" (10, 10): {('C', 'C'): 0.7910402117090956,\n",
" ('C', 'D'): 0.3885688901501142,\n",
" ('D', 'C'): 0.5863884555814496,\n",
" ('D', 'D'): 0.8513166074810679}}"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# I'm creating some random data that I think is what your data looks like\n",
"\n",
"import random\n",
"random.seed(0)\n",
"data = {}\n",
"x_range = range(1, 11)\n",
"y_range = range(1, 11)\n",
"for x in x_range:\n",
" for y in y_range:\n",
" scores = {('C', 'C'): random.random(), ('C', 'D'): random.random(), \n",
" ('D', 'C'): random.random(), ('D', 'D'): random.random()}\n",
" data[(x, y)] = scores\n",
"data"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[[0.8444218515250481,\n",
" 0.0011428193144282783,\n",
" 0.898173121357879,\n",
" 0.5759529480315407,\n",
" 0.47162541509628797,\n",
" 0.44535218971882984,\n",
" 0.7923415311856522,\n",
" 0.47806466915102097,\n",
" 0.26091653544625626,\n",
" 0.035468261876012264],\n",
" [0.5112747213686085,\n",
" 0.32520436274739006,\n",
" 0.7052833998544062,\n",
" 0.036392037611485795,\n",
" 0.3114460010002068,\n",
" 0.48726560106903205,\n",
" 0.6507832381497373,\n",
" 0.5230502317000981,\n",
" 0.06385794894382868,\n",
" 0.8423333270773672],\n",
" [0.4765969541523558,\n",
" 0.23861592861522019,\n",
" 0.8950389674266752,\n",
" 0.12389516442443171,\n",
" 0.560600218853524,\n",
" 0.4945826703752868,\n",
" 0.01857432754559518,\n",
" 0.4147216089714424,\n",
" 0.4516117926868677,\n",
" 0.06635913103778524],\n",
" [0.28183784439970383,\n",
" 0.08044581855253541,\n",
" 0.4505631066311552,\n",
" 0.022782575668658378,\n",
" 0.04569649356841665,\n",
" 0.8750163314802711,\n",
" 0.946502554169996,\n",
" 0.8408483326276716,\n",
" 0.20723197341708288,\n",
" 0.22509065367649606],\n",
" [0.9097462559682401,\n",
" 0.10905784593110368,\n",
" 0.7933250841302242,\n",
" 0.22082927131631735,\n",
" 0.35222556151550743,\n",
" 0.6330887599183004,\n",
" 0.7491348233908631,\n",
" 0.6995952911506185,\n",
" 0.1463544898080057,\n",
" 0.3305943672500803],\n",
" [0.3101475693193326,\n",
" 0.814466863291336,\n",
" 0.6301473404114728,\n",
" 0.5036365052098872,\n",
" 0.6337478522492526,\n",
" 0.40181682221254356,\n",
" 0.9027101506193307,\n",
" 0.8943997782145745,\n",
" 0.15133436847289106,\n",
" 0.9685982716927071],\n",
" [0.47214271545271336,\n",
" 0.5876170641754364,\n",
" 0.11713429320851798,\n",
" 0.19935579046706298,\n",
" 0.4144179882772473,\n",
" 0.7173241433110372,\n",
" 0.20784410369082473,\n",
" 0.9745605214796941,\n",
" 0.4059068831679489,\n",
" 0.5738724774915492],\n",
" [0.9130110532378982,\n",
" 0.5756510141648885,\n",
" 0.8159130965336595,\n",
" 0.9184820619953314,\n",
" 0.3344016906625016,\n",
" 0.09778434180065931,\n",
" 0.3334083880298664,\n",
" 0.749869571783086,\n",
" 0.9170466727598151,\n",
" 0.9905325627055622],\n",
" [0.2604923103919594,\n",
" 0.6127731798686067,\n",
" 0.04523406786561235,\n",
" 0.05805094382649867,\n",
" 0.8754233917130172,\n",
" 0.27998274332687256,\n",
" 0.6205381083165517,\n",
" 0.5190037287013293,\n",
" 0.6700681513152942,\n",
" 0.535416304328581],\n",
" [0.7197046864039541,\n",
" 0.7576039219664368,\n",
" 0.6805891325622565,\n",
" 0.25068733928511167,\n",
" 0.7018296239336754,\n",
" 0.39669617733090445,\n",
" 0.28953085363586695,\n",
" 0.6793025673721249,\n",
" 0.340220315051032,\n",
" 0.7910402117090956]]"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Build a table for ('C', 'C')\n",
"# I'm just pulling out the data\n",
"\n",
"data_to_write = [[data[(x, y)][('C', 'C')] for x in x_range] for y in y_range]\n",
"data_to_write"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Building the string rep of the latex table\n",
"\n",
"table = \"\"\n",
"for row in data_to_write:\n",
" table += \" & \".join(map(str, row))\n",
" table += \"\\\\\\\\\""
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Writing the table to a tex file\n",
"\n",
"with open(\"CC_table.tex\", 'w') as f:\n",
" f.write(table)"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.8444218515250481 & 0.0011428193144282783 & 0.898173121357879 & 0.5759529480315407 & 0.47162541509628797 & 0.44535218971882984 & 0.7923415311856522 & 0.47806466915102097 & 0.26091653544625626 & 0.035468261876012264\\\\0.5112747213686085 & 0.32520436274739006 & 0.7052833998544062 & 0.036392037611485795 & 0.3114460010002068 & 0.48726560106903205 & 0.6507832381497373 & 0.5230502317000981 & 0.06385794894382868 & 0.8423333270773672\\\\0.4765969541523558 & 0.23861592861522019 & 0.8950389674266752 & 0.12389516442443171 & 0.560600218853524 & 0.4945826703752868 & 0.01857432754559518 & 0.4147216089714424 & 0.4516117926868677 & 0.06635913103778524\\\\0.28183784439970383 & 0.08044581855253541 & 0.4505631066311552 & 0.022782575668658378 & 0.04569649356841665 & 0.8750163314802711 & 0.946502554169996 & 0.8408483326276716 & 0.20723197341708288 & 0.22509065367649606\\\\0.9097462559682401 & 0.10905784593110368 & 0.7933250841302242 & 0.22082927131631735 & 0.35222556151550743 & 0.6330887599183004 & 0.7491348233908631 & 0.6995952911506185 & 0.1463544898080057 & 0.3305943672500803\\\\0.3101475693193326 & 0.814466863291336 & 0.6301473404114728 & 0.5036365052098872 & 0.6337478522492526 & 0.40181682221254356 & 0.9027101506193307 & 0.8943997782145745 & 0.15133436847289106 & 0.9685982716927071\\\\0.47214271545271336 & 0.5876170641754364 & 0.11713429320851798 & 0.19935579046706298 & 0.4144179882772473 & 0.7173241433110372 & 0.20784410369082473 & 0.9745605214796941 & 0.4059068831679489 & 0.5738724774915492\\\\0.9130110532378982 & 0.5756510141648885 & 0.8159130965336595 & 0.9184820619953314 & 0.3344016906625016 & 0.09778434180065931 & 0.3334083880298664 & 0.749869571783086 & 0.9170466727598151 & 0.9905325627055622\\\\0.2604923103919594 & 0.6127731798686067 & 0.04523406786561235 & 0.05805094382649867 & 0.8754233917130172 & 0.27998274332687256 & 0.6205381083165517 & 0.5190037287013293 & 0.6700681513152942 & 0.535416304328581\\\\0.7197046864039541 & 0.7576039219664368 & 0.6805891325622565 & 0.25068733928511167 & 0.7018296239336754 & 0.39669617733090445 & 0.28953085363586695 & 0.6793025673721249 & 0.340220315051032 & 0.7910402117090956\\\\"
]
}
],
"source": [
"# Taking a look at it\n",
"\n",
"!cat CC_table.tex"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [Root]",
"language": "python",
"name": "Python [Root]"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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