The strings are stripped of any non alphanumeric character, and spaces are replaced by '_'. During instantiation, the user can define a list of names to exclude, as well as a list of invalid characters. Names in the exclusion list are appended a '_' character.
Once an instance has been created, it can be called with a list of names, and a list of valid names will be created. The :None:None:`__call__` method accepts an optional keyword "default" that sets the default name in case of ambiguity. By default this is 'f', so that names will default to :None:None:`f0`, :None:None:`f1`, etc.
Calling an instance of NameValidator
is the same as calling its method validate
.
A list of names to exclude. This list is appended to the default list ['return', 'file', 'print']. Excluded names are appended an underscore: for example, :None:None:`file` becomes :None:None:`file_` if supplied.
A string combining invalid characters that must be deleted from the names.
If True, field names are case-sensitive.
If False or 'upper', field names are converted to upper case.
If 'lower', field names are converted to lower case.
The default value is True.
Character(s) used in replacement of white spaces.
Object to validate a list of strings to use as field names.
>>> validator = np.lib._iotools.NameValidator()
... validator(['file', 'field2', 'with space', 'CaSe']) ('file_', 'field2', 'with_space', 'CaSe')
>>> validator = np.lib._iotools.NameValidator(excludelist=['excl'],See :
... deletechars='q',
... case_sensitive=False)
... validator(['excl', 'field2', 'no_q', 'with space', 'CaSe']) ('EXCL', 'FIELD2', 'NO_Q', 'WITH_SPACE', 'CASE')
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.lib._iotools.NameValidator
numpy.lib._iotools.easy_dtype
numpy.lib._iotools.NameValidator.validate
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