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  1. POPython : How to load column from multiblock csv tables?
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    <p>I'm working on a fit program for SIP data right now. Unfortunately the data comes within a csv table with the following structure :</p> <pre><code> f; Abs(Zm); Std(Abs); Phi(Zm); Std(Phi); Re(Zm); Im(Zm); Time [s] 1.0000000e-001; 7712.6262; 0.0247; -0.003774; 0.000001; 7712.5713; -29.1074; 3418623040 2.0000000e-001; 7712.4351; 0.0030; -0.007543; 0.000001; 7712.2157; -58.1732; 3418623056 5.0000000e-001; 7710.8455; 0.0094; -0.018837; 0.000002; 7709.4775; -145.2434; 3418623063 1.0000000e+000; 7705.3763; 0.0098; -0.037637; 0.000000; 7699.9195; -289.9395; 3418623067 2.0000000e+000; 7683.8120; 0.0241; -0.075058; 0.000001; 7662.1778; -576.1935; 3418623069 5.0000000e+000; 7539.7945; 0.0080; -0.184724; 0.000002; 7411.5201; -1384.8720; 3418623071 1.0000000e+001; 7088.6894; 0.0060; -0.351521; 0.000001; 6655.2169; -2440.8206; 3418623072 f; Abs(Z12); Phi(Z12); Abs(Z34); Phi(Z34); Abs(Z14); Phi(Z14); Time [s] 1.0000000e-001; 1.7821; 3.139014; 0.2545; -3.141592; 7710.5896; -0.003774; 3418623040 2.0000000e-001; 1.7850; 3.133381; 0.2572; -3.126220; 7710.3930; -0.007543; 3418623056 5.0000000e-001; 1.7755; 3.121223; 0.2514; -3.133763; 7708.8186; -0.018838; 3418623063 1.0000000e+000; 1.7683; 3.100815; 0.2503; 3.139466; 7703.3580; -0.037638; 3418623067 2.0000000e+000; 1.8091; 3.058834; 0.2538; -3.123705; 7681.7502; -0.075060; 3418623069 5.0000000e+000; 1.5547; 2.943611; 0.2398; -3.136317; 7538.0045; -0.184727; 3418623071 </code></pre> <p>I'm using a numpy.loadtxt() routine to collect the data from the table like this :</p> <pre><code>def load_datafile(filename): try: x_data, y_data = numpy.loadtxt(filename , unpack=True, usecols=(0,1),) except IOError: print('There was an error opening the file: {0}'.format(filename)) x_data=[] y_data=[] return x_data, y_data </code></pre> <p>I know there is no further identifier for using a specific block from a table in the loadtxt() command. But is there a handy workaround? </p> <p>Otherwise is there a simple script which can do the rearranging of the csv-input file to single block colums?</p> <p>Thanks in advance! Greets, Gunnar</p>
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