numpy.fromregex

numpy.fromregex(file, regexp, dtype, encoding=None) [source]

Construct an array from a text file, using regular expression parsing.

The returned array is always a structured array, and is constructed from all matches of the regular expression in the file. Groups in the regular expression are converted to fields of the structured array.

Parameters:	file : str or file File name or file object to read. regexp : str or regexp Regular expression used to parse the file. Groups in the regular expression correspond to fields in the dtype. dtype : dtype or list of dtypes Dtype for the structured array. encoding : str, optional Encoding used to decode the inputfile. Does not apply to input streams. New in version 1.14.0.
Returns:	output : ndarray The output array, containing the part of the content of file that was matched by regexp. output is always a structured array.
Raises:	TypeError When dtype is not a valid dtype for a structured array.

See also

fromstring, loadtxt

Notes

Dtypes for structured arrays can be specified in several forms, but all forms specify at least the data type and field name. For details see doc.structured_arrays.

Examples

>>> f = open('test.dat', 'w')
>>> f.write("1312 foo\n1534  bar\n444   qux")
>>> f.close()

>>> regexp = r"(\d+)\s+(...)"  # match [digits, whitespace, anything]
>>> output = np.fromregex('test.dat', regexp,
...                       [('num', np.int64), ('key', 'S3')])
>>> output
array([(1312L, 'foo'), (1534L, 'bar'), (444L, 'qux')],
      dtype=[('num', '<i8'), ('key', '|S3')])
>>> output['num']
array([1312, 1534,  444], dtype=int64)