{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Everything in ``lasio`` is available from a basic import, so all you need to do is:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import lasio" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The ``read()`` function accepts a filename, string, URL, or file-like object" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "import os\n", "\n", "l = lasio.read(os.path.join(\"..\", \"tests\", \"examples\", \"6038187_v1.2_short.las\"))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "it returns a ``LASFile`` object" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "lasio.las.LASFile" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(l)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Curves are available as [numpy](http://www.numpy.org/) 1D arrays" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "['DEPT', 'CALI', 'DFAR', 'DNEAR', 'GAMN', 'NEUT', 'PR', 'SP', 'COND']" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.keys()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "so to see the NEUT data use:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "array([ 1152.01 , 1233.99 , 1212. , 1161.01 , 1080.02 , 1188.98 ,\n", " 1164. , 1169. , 1202. , 1168.01 , 1179. , 1146. ,\n", " 1169. , 1182. , 1156.01 , 1154. , 1142. , 1146. ,\n", " 1171. , 1119.01 , 1070.01 , 1150.99 , 1256.98 , 1291. ,\n", " 1301. , 1371.99 , 1358. , 1368. , 1482.99 , 1423.01 ,\n", " 1350.01 , 1156.02 , 1013.03 , 876.016, 798.016, 629.026,\n", " 618.001, 659.992, 689.997, 765.984, 753.002, 741.001,\n", " 734.001, 767.996, 730.008, 747.997, 762.999, 793.994,\n", " 776.002, 854.983, 827.004, 886.994, 869.003, 863.001,\n", " 869.999, 884.998, 919.997, 879.008, 909.996, 931.995,\n", " 954.996, 986.997, 970.003, 953.002, 925.006, 899.004,\n", " 952.995, 967.997, 926.005, 924. , 936.998, 968.997,\n", " 922.009, 934.999, 931.001, 945.998, 913.003, 903.002,\n", " 964.993, 937.006, 925.002, 909.001, 920.998, 924. ,\n", " 906.004, 980.989, 949.002, 908.008, 899.001, 934.992,\n", " 956.997, 969.999, 954.003, 933.002, 1023.98 , 950.011,\n", " 1002. , 1030.99 , 1074. , 1161.98 , 1113.01 , 1051. ,\n", " 1067. , 1167.99 , 1312.97 , 1478.97 , 1536. , 1584.99 ,\n", " 1592. , 1483.02 , 1557.99 , 1546. , 1604.99 , 1546.01 ,\n", " 1518.01 , 1469.01 , 1438. , 1403.01 , 1413. , 1316.02 ,\n", " 1347. ])" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l['NEUT']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also access curves by index (remembering that the first index is zero but the first curve is the reference curve, usually depth.\n", "\n", "So for example the first data curve in this file is CALI:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 101.78 , 101.738, 101.738, 101.858, 101.798, 101.756,\n", " 101.804, 101.798, 101.852, 101.87 , 101.906, 101.816,\n", " 101.714, 101.768, 101.816, 101.828, 101.696, 101.69 ,\n", " 101.744, 101.66 , 101.6 , 101.708, 101.78 , 101.792,\n", " 101.618, 101.576, 101.606, 101.504, 101.516, 101.54 ,\n", " 101.546, 101.45 , 101.612, 101.744, 101.762, 101.762,\n", " 101.792, 101.816, 101.696, 101.696, 101.666, 101.69 ,\n", " 101.858, 101.81 , 101.792, 101.828, 101.81 , 101.54 ,\n", " 101.54 , 101.516, 101.516, 101.498, 101.504, 101.54 ,\n", " 101.348, 101.366, 101.42 , 101.408, 101.36 , 101.318,\n", " 101.324, 101.348, 101.307, 101.283, 101.378, 101.295,\n", " 101.283, 101.396, 101.36 , 101.372, 101.348, 101.408,\n", " 101.402, 101.498, 101.432, 101.516, 101.594, 101.528,\n", " 101.534, 101.528, 101.528, 101.528, 101.66 , 101.732,\n", " 101.696, 101.714, 101.696, 101.66 , 101.666, 101.78 ,\n", " 101.72 , 101.624, 101.696, 101.696, 101.684, 101.708,\n", " 101.69 , 101.69 , 101.762, 101.84 , 101.636, 101.612,\n", " 101.576, 101.618, 101.492, 102.715, 101.157, 101.432,\n", " 101.636, 101.594, 101.474, 101.546, 101.366, 101.318,\n", " 101.384, 101.384, 101.295, 101.223, 101.241, 101.235, 101.259])" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l['CALI']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "which is the same as using the index 1:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([ 101.78 , 101.738, 101.738, 101.858, 101.798, 101.756,\n", " 101.804, 101.798, 101.852, 101.87 , 101.906, 101.816,\n", " 101.714, 101.768, 101.816, 101.828, 101.696, 101.69 ,\n", " 101.744, 101.66 , 101.6 , 101.708, 101.78 , 101.792,\n", " 101.618, 101.576, 101.606, 101.504, 101.516, 101.54 ,\n", " 101.546, 101.45 , 101.612, 101.744, 101.762, 101.762,\n", " 101.792, 101.816, 101.696, 101.696, 101.666, 101.69 ,\n", " 101.858, 101.81 , 101.792, 101.828, 101.81 , 101.54 ,\n", " 101.54 , 101.516, 101.516, 101.498, 101.504, 101.54 ,\n", " 101.348, 101.366, 101.42 , 101.408, 101.36 , 101.318,\n", " 101.324, 101.348, 101.307, 101.283, 101.378, 101.295,\n", " 101.283, 101.396, 101.36 , 101.372, 101.348, 101.408,\n", " 101.402, 101.498, 101.432, 101.516, 101.594, 101.528,\n", " 101.534, 101.528, 101.528, 101.528, 101.66 , 101.732,\n", " 101.696, 101.714, 101.696, 101.66 , 101.666, 101.78 ,\n", " 101.72 , 101.624, 101.696, 101.696, 101.684, 101.708,\n", " 101.69 , 101.69 , 101.762, 101.84 , 101.636, 101.612,\n", " 101.576, 101.618, 101.492, 102.715, 101.157, 101.432,\n", " 101.636, 101.594, 101.474, 101.546, 101.366, 101.318,\n", " 101.384, 101.384, 101.295, 101.223, 101.241, 101.235, 101.259])" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l[1]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "All the curves are stored as a two-dimensional ``ndarray`` under the ``data`` attribute:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "numpy.ndarray" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(l.data)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "(121, 9)" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.data.shape" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([[ 1.20000000e+01, 1.01780000e+02, 8.83000000e-01, ...,\n", " 5.04999000e+04, 1.00592000e+02, 8.22680000e+02],\n", " [ 1.20500000e+01, 1.01738000e+02, 8.83000000e-01, ...,\n", " 5.04999000e+04, 1.00510000e+02, 8.10824000e+02],\n", " [ 1.21000000e+01, 1.01738000e+02, 8.73000000e-01, ...,\n", " 5.04999000e+04, 1.00580000e+02, 8.01439000e+02],\n", " ..., \n", " [ 1.79000000e+01, 1.01241000e+02, 1.41700000e+00, ...,\n", " 5.04999000e+04, 1.00537000e+02, 6.88347000e+01],\n", " [ 1.79500000e+01, 1.01235000e+02, 1.37800000e+00, ...,\n", " 5.04999000e+04, 1.00558000e+02, 6.93289000e+01],\n", " [ 1.80000000e+01, 1.01259000e+02, 1.38100000e+00, ...,\n", " 5.04999000e+04, 1.00562000e+02, 6.53776000e+01]])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "l.data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can always see the text of the original LAS file loaded here:" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "str" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(l._text)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "15307" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(l._text)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "#------------------------------------------------------------\n", "~VERSION INFORMATION\n", "VERS. 2.0 :CWLS LOG ASCII STANDARD - VERSION 2.0\n", "WRAP. NO :ONE LINE PER DEPTH STEP\n", "#------------------------------------------------------------\n", "~WELL INFORMATION\n", "STRT.M 0.0500000 :FIRST INDEX VALUE\n", "STOP.M 136.600 :LAST INDEX VALUE\n", "STEP.M 0.0500000 :STEP\n", "NULL. -99999 :NULL VALUE\n", "COMP. :COMP\n", "WELL. Scorpio E1 :WELL\n", "FLD. :\n", "LOC. Mt Eba :LOC\n", "SRVC. :\n", "CTRY. :\n", "STAT. SA :STAT\n", "CNTY. :\n", "DATE. 15/03/2015 :DATE\n", "UWI. 6038-187 :WUNT\n", "#------------------------------------------------------------\n", "~CURVE INFORMATION\n", "DEPT.M :DEPTH\n", "CALI.MM :CALI\n", "DFAR.G/CM3 :DFAR\n", "DNEAR.G/CM3 :DNEAR\n", "GAMN.GAPI :GAMN\n", "NEUT.CPS :NEUT\n", "PR.OHM/M :PR\n", "SP.MV :SP\n", "COND.MS/M :COND\n", "#------------------------------------------------------------\n", "~PARAMETER INFORMATION\n", "BS. 216 mm :BS\n", "JOBN. :JOBN\n", "WPMT. :WPMT\n", "AGL. :AGL\n", "PURP. Cased hole stratigraphy :PURP\n", "X. 0560160 :X\n", "CSGL. 0 m - 135 m :CSGL\n", "UNIT. :UNIT\n", "Y. 6686430 :Y\n", "TDL. 135.2 m :TDL\n", "PROD. :PROD\n", "MUD. Water :MUD\n", "CSGS. 100 mm :CSGS\n", "ENG. :ENG\n", "STEP. 5 cm :STEP\n", "FluidLevel. 54 m :FluidLevel\n", "CSGT. PVC :CSGT\n", "WIT. :WIT\n", "EREF. :EREF\n", "PROJ. :PROJ\n", "ZONE. 53J :ZONE\n", "DREF. GL :DREF\n", "TDD. 136 m :TDD\n", "#------------------------------------------------------------\n", "~OTHER\n", "#------------------------------------------------------------\n", "~A DEPT[M] CALI DFAR DNEAR GAMN NEUT PR SP COND\n", " 12.0000 101.780 0.883000 0.814000 65.0846 1152.01 50499.9 100.592 822.680\n", " 12.0500 101.738 0.883000 0.843000 65.0800 1233.99 50499.9 100.510 810.824\n", " 12.1000 101.738 0.873000 0.808001 53.4612 1212.00 50499.9 100.580 801.439\n", " 12.1500 101.858 0.878000 0.813000 79.0231 1161.01 50499.9 100.555 796.745\n", " 12.2000 101.798 0.878000 0.787000 41.8448 1080.02 50499.9 100.552 785.137\n", " 12.2500 101.756 0.869000 0.765000 81.3450 1188.98 50499.9 100.537 772.293\n", " 12.3000 101.804 0.882000 0.811000 67.4063 1164.00 50499.9 100.580 757.966\n", " 12.3500 101.798 0.880000 0.823000 74.3767 1169.00 50499.9 100.543 757.965\n", " 12.4000 101.852 0.877000 0.823000 62.7573 1202.00 50499.9 100.543 735.738\n", " 12.4500 101.870 0.878000 0.826000 58.1080 1168.01 50499.9 100.586 716.967\n", " 12.5000 101.906 0.870000 0.850000 60.4316 1179.00 50499.9 100.540 715.481\n", " 12.5500 101.816 0.883000 0.862000 69.7281 1146.00 50499.9 100.510 713.999\n", " 12.6000 101.714 0.864001 0.815002 53.4621 1169.00 50499.9 100.549 730.545\n", " 12.6500 101.768 0.863000 0.802000 81.3478 1182.00 50499.9 100.519 738.698\n", " 12.7000 101.816 0.869000 0.808000 51.1413 1156.01 50499.9 100.537 757.467\n", " 12.7500 101.828 0.875000 0.797000 83.6700 1154.00 50499.9 100.540 775.746\n", " 12.8000 101.696 0.865000 0.907000 58.1094 1142.00 50499.9 100.543 790.321\n", " 12.8500 101.690 0.867000 0.808004 65.0787 1146.00 50499.9 100.516 790.322\n", " 12.9000 101.744 0.851000 0.826000 72.0522 1171.00 50499.9 100.494 806.869\n", " 12.9500 101.660 0.851000 0.796000 53.4629 1119.01 50499.9 100.528 816.749\n", " 13.0000 101.600 0.837000 0.815000 67.4029 1070.01 50499.9 100.531 826.383\n", " 13.0500 101.708 0.839000 0.813000 74.3773 1150.99 50499.9 100.519 835.522\n", " 13.1000 101.780 0.838000 0.827999 81.3497 1256.98 50499.9 100.531 848.858\n", " 13.1500 101.792 0.837000 0.809000 79.0263 1291.00 50499.9 100.513 861.210\n", " 13.2000 101.618 0.847000 0.761000 97.6171 1301.00 50499.9 100.531 861.211\n", " 13.2500 101.576 0.846000 0.797000 65.0850 1371.99 50499.9 100.543 881.462\n", " 13.3000 101.606 0.845000 0.767000 85.9970 1358.00 50499.9 100.528 885.417\n", " 13.3500 101.504 0.822001 0.838997 65.0840 1368.00 50499.9 100.482 885.911\n", " 13.4000 101.516 0.793000 0.876000 85.9966 1482.99 50499.9 100.540 889.616\n", " 13.4500 101.540 0.726000 0.896000 65.0844 1423.01 50499.9 100.519 895.296\n", " 13.5000 101.546 0.725000 0.897000 111.559 1350.01 50499.9 100.510 900.730\n", " 13.5500 101.450 0.725000 0.894000 74.3815 1156.02 50499.9 100.543 905.671\n", " 13.6000 101.612 0.762999 0.899000 90.6449 1013.03 50499.9 100.485 906.659\n", " 13.6500 101.744 0.755000 0.835000 81.3521 876.016 50499.9 100.473 894.804\n", " 13.7000 101.762 0.793000 0.809000 58.1119 798.016 50499.9 100.497 883.196\n", " 13.7500 101.762 0.836000 0.783000 62.7553 629.026 50499.9 100.476 915.546\n", " 13.8000 101.792 0.959000 0.683000 69.7283 618.001 50499.9 100.476 945.188\n", " 13.8500 101.816 1.04500 0.657001 76.7007 659.992 50499.9 100.470 945.932\n", " 13.9000 101.696 1.13300 0.800000 58.1091 689.997 50499.9 100.476 922.717\n", " 13.9500 101.696 1.23100 1.11100 79.0216 765.984 50499.9 100.491 757.012\n", " 14.0000 101.666 1.34000 1.43400 60.4348 753.002 50499.9 100.433 941.705\n", " 14.0500 101.690 1.38600 1.46300 67.4043 741.001 50499.9 100.424 1071.64\n", " 14.1000 101.858 1.35800 1.46200 74.3767 734.001 50499.9 100.400 1215.13\n", " 14.1500 101.810 1.35700 1.47100 53.4614 767.996 50499.9 100.381 863.968\n", " 14.2000 101.792 1.35400 1.55800 55.7825 730.008 50499.9 100.342 699.707\n", " 14.2500 101.828 1.37800 1.66600 67.4032 747.997 50499.9 100.360 333.181\n", " 14.3000 101.810 1.37200 1.74200 62.7564 762.999 50499.9 100.296 36.2593\n", " 14.3500 101.540 1.42300 1.77800 62.7560 793.994 50499.9 100.314 26.8468\n", " 14.4000 101.540 1.42500 1.66700 53.4601 776.002 50499.9 100.275 24.3753\n", " 14.4500 101.516 1.41700 1.60800 74.3736 854.983 50499.9 100.299 89.3224\n", " 14.5000 101.516 1.41600 1.54200 46.4903 827.004 50499.9 100.214 479.289\n", " 14.5500 101.498 1.41200 1.55700 60.4307 886.994 50499.9 100.214 282.756\n", " 14.6000 101.504 1.44800 1.67200 60.4320 869.003 50499.9 100.375 398.805\n", " 14.6500 101.540 1.43000 1.59000 69.7279 863.001 50499.9 100.555 411.670\n", " 14.7000 101.348 1.41300 1.57800 32.5478 869.999 50499.9 100.607 697.637\n", " 14.7500 101.366 1.43600 1.58100 88.3145 884.998 50499.9 100.610 1003.44\n", " 14.8000 101.420 1.38200 1.51400 85.9992 919.997 50499.9 100.598 1050.16\n", " 14.8500 101.408 1.39100 1.54300 92.9707 879.008 50499.9 100.601 944.470\n", " 14.9000 101.360 1.40900 1.50600 81.3523 909.996 50499.9 100.562 819.729\n", " 14.9500 101.318 1.38400 1.51600 60.4364 931.995 50499.9 100.562 805.886\n", " 15.0000 101.324 1.38200 1.43900 72.0512 954.996 50499.9 100.568 758.219\n", " 15.0500 101.348 1.39000 1.51000 76.7016 986.997 50499.9 100.562 733.761\n", " 15.1000 101.307 1.39800 1.50000 123.179 970.003 50499.9 100.574 685.356\n", " 15.1500 101.283 1.42300 1.52900 60.4392 953.002 50499.9 100.549 647.066\n", " 15.2000 101.378 1.42700 1.53800 67.4035 925.006 50499.9 100.592 631.504\n", " 15.2500 101.295 1.41800 1.54000 106.912 899.004 50499.9 100.574 613.226\n", " 15.3000 101.283 1.40900 1.46800 83.6772 952.995 50499.9 100.562 589.513\n", " 15.3500 101.396 1.39800 1.47900 85.9986 967.997 50499.9 100.662 570.743\n", " 15.4000 101.360 1.43800 1.47100 74.3793 926.005 50499.9 100.604 560.366\n", " 15.4500 101.372 1.43700 1.55000 58.1104 924.000 50499.9 100.616 544.560\n", " 15.5000 101.348 1.42900 1.54300 95.2903 936.998 50499.9 100.610 528.504\n", " 15.5500 101.408 1.42000 1.53700 69.7314 968.997 50499.9 100.632 525.291\n", " 15.6000 101.402 1.43700 1.55300 76.7007 922.009 50499.9 100.601 510.721\n", " 15.6500 101.498 1.44800 1.51100 97.6186 934.999 50499.9 100.586 505.038\n", " 15.7000 101.432 1.46600 1.55000 81.3544 931.001 50499.9 100.595 504.049\n", " 15.7500 101.516 1.43700 1.48500 72.0544 945.998 50499.9 100.598 495.405\n", " 15.8000 101.594 1.43700 1.48100 69.7292 913.003 50499.9 100.613 492.193\n", " 15.8500 101.528 1.43100 1.50900 76.7007 903.002 50499.9 100.571 481.327\n", " 15.9000 101.534 1.45200 1.52400 72.0535 964.993 50499.9 100.586 478.855\n", " 15.9500 101.528 1.44000 1.53900 67.4060 937.006 50499.9 100.607 471.940\n", " 16.0000 101.528 1.46300 1.56800 69.7286 925.002 50499.9 100.601 466.259\n", " 16.0500 101.528 1.47800 1.55900 65.0804 909.001 50499.9 100.616 465.023\n", " 16.1000 101.660 1.49200 1.55600 69.7281 920.998 50499.9 100.629 453.663\n", " 16.1500 101.732 1.48700 1.56800 85.9971 924.000 50499.9 100.629 449.709\n", " 16.2000 101.696 1.47100 1.60600 95.2939 906.004 50499.9 100.641 448.968\n", " 16.2500 101.714 1.49700 1.58000 113.888 980.989 50499.9 100.632 448.968\n", " 16.3000 101.696 1.48700 1.60000 74.3810 949.002 50499.9 100.632 444.275\n", " 16.3500 101.660 1.47800 1.58700 90.6449 908.008 50499.9 100.613 437.854\n", " 16.4000 101.666 1.50300 1.58500 88.3233 899.001 50499.9 100.616 433.901\n", " 16.4500 101.780 1.48700 1.55700 83.6761 934.992 50499.9 100.616 432.913\n", " 16.5000 101.720 1.48800 1.56800 60.4355 956.997 50499.9 100.604 423.528\n", " 16.5500 101.624 1.49100 1.57600 104.590 969.999 50499.9 100.629 413.648\n", " 16.6000 101.696 1.48600 1.57200 123.184 954.003 50499.9 100.653 399.571\n", " 16.6500 101.696 1.50100 1.59800 88.3270 933.002 50499.9 100.641 386.478\n", " 16.7000 101.684 1.49500 1.54700 51.1435 1023.98 50499.9 100.598 381.538\n", " 16.7500 101.708 1.49300 1.58200 79.0217 950.011 50499.9 100.632 374.128\n", " 16.8000 101.690 1.48300 1.53000 58.1086 1002.00 50499.9 100.626 362.766\n", " 16.8500 101.690 1.49000 1.53400 74.3749 1030.99 50499.9 100.601 349.430\n", " 16.9000 101.762 1.47400 1.52500 67.4058 1074.00 50499.9 100.595 345.475\n", " 16.9500 101.840 1.50500 1.54300 120.852 1161.98 50499.9 100.616 334.609\n", " 17.0000 101.636 1.48200 1.56200 69.7368 1113.01 50499.9 100.604 328.927\n", " 17.0500 101.612 1.48900 1.52700 69.7290 1051.00 50499.9 100.629 303.487\n", " 17.1000 101.576 1.47600 1.52400 99.9392 1067.00 50499.9 100.620 270.887\n", " 17.1500 101.618 1.45500 1.52200 55.7881 1167.99 50499.9 100.607 256.557\n", " 17.2000 101.492 1.48200 1.53200 83.6686 1312.97 50499.9 100.595 221.489\n", " 17.2500 102.715 1.48700 1.49900 109.238 1478.97 50499.9 100.531 227.902\n", " 17.3000 101.157 1.47700 1.45600 76.7045 1536.00 50499.9 100.555 199.253\n", " 17.3500 101.432 1.45500 1.54800 83.6737 1584.99 50499.9 100.531 168.876\n", " 17.4000 101.636 1.44400 1.53000 69.7306 1592.00 50499.9 100.519 128.614\n", " 17.4500 101.594 1.45500 1.48000 62.7576 1483.02 50499.9 100.562 125.646\n", " 17.5000 101.474 1.46000 1.46000 76.6999 1557.99 50499.9 100.519 108.852\n", " 17.5500 101.546 1.41800 1.48700 76.7020 1546.00 50499.9 100.543 101.934\n", " 17.6000 101.366 1.42900 1.48900 81.3501 1604.99 50499.9 100.549 98.2287\n", " 17.6500 101.318 1.37400 1.49000 85.9985 1546.01 50499.9 100.537 85.1385\n", " 17.7000 101.384 1.40100 1.47700 90.6469 1518.01 50499.9 100.549 76.2470\n", " 17.7500 101.384 1.39100 1.46600 81.3524 1469.01 50499.9 100.565 78.4677\n", " 17.8000 101.295 1.37400 1.49000 104.591 1438.00 50499.9 100.555 65.1310\n", " 17.8500 101.223 1.38200 1.46500 88.3261 1403.01 50499.9 100.555 66.1178\n", " 17.9000 101.241 1.41700 1.48200 90.6477 1413.00 50499.9 100.537 68.8347\n", " 17.9500 101.235 1.37800 1.45100 95.2949 1316.02 50499.9 100.558 69.3289\n", " 18.0000 101.259 1.38100 1.42600 88.3241 1347.00 50499.9 100.562 65.3776\n" ] } ], "source": [ "print(l._text)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.11" } }, "nbformat": 4, "nbformat_minor": 0 }