Created
October 20, 2019 16:50
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"#new_factor.dat\n", | |
"\n", | |
"# 0.11378502991970402\n", | |
"# 0.18244134223217345\n", | |
"# 0.12910302678224894\n", | |
"# 0.1101382051786099\n", | |
"# 0.13694262193756285\n", | |
"# 0.1342356170801441\n", | |
"# 0.1310174302733097\n", | |
"# 0.11768323960497845\n", | |
"# 0.1371792964087734\n", | |
"# 0.12023687438053227\n", | |
"# 0.11537224241228489\n", | |
"# 0.14050615108710385\n", | |
"# 0.0708270361521699\n", | |
"# 0.06860739334483085\n", | |
"# 0.11378522516278938\n", | |
"# 0.07478336530042679\n", | |
"# 0.12597270998905774\n", | |
"# 0.09706562348848446\n", | |
"# 0.1586132977248872\n", | |
"# 0.15236043436904328\n", | |
"# 0.16176872404683895\n", | |
"# 0.13933029580606687\n", | |
"# 0.18106238924179524\n", | |
"# 0.10913720855687514\n", | |
"# 0.1399938796473275\n", | |
"# 0.1366054681680272\n", | |
"# 0.12773431219135156" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import numpy as np\n", | |
"from array import array\n", | |
"from decimal import Decimal\n", | |
"\n", | |
"fp = \"new_factor.dat\" # fp means \"file pass\" " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.1138\n", | |
"0.1824\n", | |
"0.1291\n", | |
"0.1101\n", | |
"0.1369\n", | |
"0.1342\n", | |
"0.1310\n", | |
"0.1177\n", | |
"0.1372\n", | |
"0.1202\n", | |
"0.1154\n", | |
"0.1405\n", | |
"0.0708\n", | |
"0.0686\n", | |
"0.1138\n", | |
"0.0748\n", | |
"0.1260\n", | |
"0.0971\n", | |
"0.1586\n", | |
"0.1524\n", | |
"0.1618\n", | |
"0.1393\n", | |
"0.1811\n", | |
"0.1091\n", | |
"0.1400\n", | |
"0.1366\n", | |
"0.1277\n", | |
"\n", | |
"\n", | |
"new_fact = array('d', [0.1138, 0.1824, 0.1291, 0.1101, 0.1369, 0.1342, 0.131, 0.1177, 0.1372, 0.1202, 0.1154, 0.1405, 0.0708, 0.0686, 0.1138, 0.0748, 0.126, 0.0971, 0.1586, 0.1524, 0.1618, 0.1393, 0.1811, 0.1091, 0.14, 0.1366, 0.1277])\n" | |
] | |
} | |
], | |
"source": [ | |
"data = np.loadtxt(fp, comments = \"#\") \n", | |
"\n", | |
"new_fact = array('d')\n", | |
"\n", | |
"for l in data:\n", | |
" \n", | |
" value = Decimal(l)\n", | |
" V = value.quantize(Decimal('0.0001'))\n", | |
" new_fact.append(V)\n", | |
" \n", | |
" print (V)\n", | |
"\n", | |
"print (\"\\n\")\n", | |
"print (\"new_fact = \", new_fact )\n" | |
] | |
} | |
], | |
"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": "3.6.0" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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