Venkat <dvr002 <at> gmail.com> writes:
Hi All,I am new to Numpy (also Scipy).I am trying to reshape my text data
which is in one single column (10,000 rows).I want the data to be in 100x100 array form.I have many files to convert like this. All of them are having file names like 0, 1, 2, ....500. with out any extension.
Actually, I renamed actual files so that I can import them in Matlab for batch
processing.Since Matlab also new for me, I thought I will try Numpy first. Can any body help me in writing the script to do this for making batch processing. Thanks in advance,Venkat
In [2]: dummy_data = np.random.randn(100,100)
In [3]: dummy_data.shape Out[3]: (100, 100)
In [4]: dummy_data.flatten().shape Out[4]: (10000,)
In [5]: np.savetxt('dummy_data.txt', dummy_data.flatten())
In [6]: !less dummy_data.txt 2.571031186906808100e-01 1.566790681796508500e+00 -6.846267829937818800e-01 3.271332705287631200e-01 -7.482409829656505600e-02 1.429095432454441600e-01 -6.888841694801869400e-01 -5.319842186383831900e-01 -4.047786844569442600e-01 -6.696045994533519300e-01 -4.895085917712171400e-01 6.969419814656118200e-01 6.656815445278644300e-01 7.455135053686292600e-01 ...
In [7]: data = np.loadtxt('dummy_data.txt')
In [8]: data.shape Out[8]: (10000,)
In [9]: data = data.reshape(100, 100)
In [10]: data.shape Out[10]: (100, 100)
In [11]: np.allclose(dummy_data, data) Out[11]: True
HTH, Dave