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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
filethat was matched byregexp.outputis always a structured array.Raises: TypeError
When
dtypeis 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
123>>> f=open('test.dat','w')>>> f.write("1312 foo\n1534 bar\n444 qux")>>> f.close()12345678>>> regexp=r"(\d+)\s+(...)"# match [digits, whitespace, anything]>>> output=np.fromregex('test.dat', regexp,... [('num', np.int64), ('key','S3')])>>> outputarray([(1312L,'foo'), (1534L,'bar'), (444L,'qux')],dtype=[('num','<i8'), ('key','|S3')])>>> output['num']array([1312,1534,444], dtype=int64)
numpy.fromregex()
2025-01-10 15:47:30
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