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Module « numpy »

Fonction isscalar - module numpy

Signature de la fonction isscalar

def isscalar(element) 

Description

help(numpy.isscalar)

Returns True if the type of `element` is a scalar type.

Parameters
----------
element : any
    Input argument, can be of any type and shape.

Returns
-------
val : bool
    True if `element` is a scalar type, False if it is not.

See Also
--------
ndim : Get the number of dimensions of an array

Notes
-----
If you need a stricter way to identify a *numerical* scalar, use
``isinstance(x, numbers.Number)``, as that returns ``False`` for most
non-numerical elements such as strings.

In most cases ``np.ndim(x) == 0`` should be used instead of this function,
as that will also return true for 0d arrays. This is how numpy overloads
functions in the style of the ``dx`` arguments to `gradient` and
the ``bins`` argument to `histogram`. Some key differences:

+------------------------------------+---------------+-------------------+
| x                                  |``isscalar(x)``|``np.ndim(x) == 0``|
+====================================+===============+===================+
| PEP 3141 numeric objects           | ``True``      | ``True``          |
| (including builtins)               |               |                   |
+------------------------------------+---------------+-------------------+
| builtin string and buffer objects  | ``True``      | ``True``          |
+------------------------------------+---------------+-------------------+
| other builtin objects, like        | ``False``     | ``True``          |
| `pathlib.Path`, `Exception`,       |               |                   |
| the result of `re.compile`         |               |                   |
+------------------------------------+---------------+-------------------+
| third-party objects like           | ``False``     | ``True``          |
| `matplotlib.figure.Figure`         |               |                   |
+------------------------------------+---------------+-------------------+
| zero-dimensional numpy arrays      | ``False``     | ``True``          |
+------------------------------------+---------------+-------------------+
| other numpy arrays                 | ``False``     | ``False``         |
+------------------------------------+---------------+-------------------+
| `list`, `tuple`, and other         | ``False``     | ``False``         |
| sequence objects                   |               |                   |
+------------------------------------+---------------+-------------------+

Examples
--------
>>> import numpy as np

>>> np.isscalar(3.1)
True

>>> np.isscalar(np.array(3.1))
False

>>> np.isscalar([3.1])
False

>>> np.isscalar(False)
True

>>> np.isscalar('numpy')
True

NumPy supports PEP 3141 numbers:

>>> from fractions import Fraction
>>> np.isscalar(Fraction(5, 17))
True
>>> from numbers import Number
>>> np.isscalar(Number())
True

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