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numpy.fromregex(file, regexp, dtype)
[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.
Returns: output : ndarray
The output array, containing the part of the content of
file
that was matched byregexp
.output
is always a structured array.Raises: TypeError
When
dtype
is not a valid dtype for a structured array.See also
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)
numpy.fromregex()
2017-01-10 18:14:09
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