numpy.mintypecode
-
numpy.mintypecode(typechars, typeset='GDFgdf', default='d')
[source] -
Return the character for the minimum-size type to which given types can be safely cast.
The returned type character must represent the smallest size dtype such that an array of the returned type can handle the data from an array of all types in
typechars
(or iftypechars
is an array, then its dtype.char).Parameters: typechars : list of str or array_like
If a list of strings, each string should represent a dtype. If array_like, the character representation of the array dtype is used.
typeset : str or list of str, optional
The set of characters that the returned character is chosen from. The default set is ‘GDFgdf’.
default : str, optional
The default character, this is returned if none of the characters in
typechars
matches a character intypeset
.Returns: typechar : str
The character representing the minimum-size type that was found.
See also
dtype
,sctype2char
,maximum_sctype
Examples
>>> np.mintypecode(['d', 'f', 'S']) 'd' >>> x = np.array([1.1, 2-3.j]) >>> np.mintypecode(x) 'D'
>>> np.mintypecode('abceh', default='G') 'G'
© 2008–2017 NumPy Developers
Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.mintypecode.html