savetxt(fname, X, fmt='%.18e', delimiter=' ', newline='\n', header='', footer='', comments='# ', encoding=None)

Notes

Further explanation of the :None:None:`fmt` parameter ( %[flag]width[.precision]specifier ):

Parameters

fname : filename or file handle

If the filename ends in .gz , the file is automatically saved in compressed gzip format. loadtxt understands gzipped files transparently.

X : 1D or 2D array_like

Data to be saved to a text file.

fmt : str or sequence of strs, optional

A single format (%10.5f), a sequence of formats, or a multi-format string, e.g. 'Iteration %d -- %10.5f', in which case :None:None:`delimiter` is ignored. For complex X, the legal options for :None:None:`fmt` are:

• a single specifier, :None:None:`fmt='%.4e'`, resulting in numbers formatted like :None:None:`' (%s+%sj)' % (fmt, fmt)`

• a full string specifying every real and imaginary part, e.g. :None:None:`' %.4e %+.4ej %.4e %+.4ej %.4e %+.4ej'` for 3 columns

• a list of specifiers, one per column - in this case, the real and imaginary part must have separate specifiers, e.g. :None:None:`['%.3e + %.3ej', '(%.15e%+.15ej)']` for 2 columns

delimiter : str, optional

String or character separating columns.

newline : str, optional

String or character separating lines.

versionadded

header : str, optional

String that will be written at the beginning of the file.

versionadded

footer : str, optional

String that will be written at the end of the file.

versionadded

comments : str, optional

String that will be prepended to the header and footer strings, to mark them as comments. Default: '# ', as expected by e.g. numpy.loadtxt .

versionadded

encoding : {None, str}, optional

Encoding used to encode the outputfile. Does not apply to output streams. If the encoding is something other than 'bytes' or 'latin1' you will not be able to load the file in NumPy versions < 1.14. Default is 'latin1'.

versionadded

Save an array to a text file.

See Also

save

Save an array to a binary file in NumPy .npy format

savez

Save several arrays into an uncompressed .npz archive

savez_compressed

Save several arrays into a compressed .npz archive

Examples

>>> x = y = z = np.arange(0.0,5.0,1.0)
... np.savetxt('test.out', x, delimiter=',')   # X is an array
... np.savetxt('test.out', (x,y,z))   # x,y,z equal sized 1D arrays
... np.savetxt('test.out', x, fmt='%1.4e')   # use exponential notation

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

numpy.savez numpy.save numpy.savez_compressed

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