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|
NumPy
|
=====
|
|
Provides
|
1. An array object of arbitrary homogeneous items
|
2. Fast mathematical operations over arrays
|
3. Linear Algebra, Fourier Transforms, Random Number Generation
|
|
How to use the documentation
|
----------------------------
|
Documentation is available in two forms: docstrings provided
|
with the code, and a loose standing reference guide, available from
|
`the NumPy homepage <https://numpy.org>`_.
|
|
We recommend exploring the docstrings using
|
`IPython <https://ipython.org>`_, an advanced Python shell with
|
TAB-completion and introspection capabilities. See below for further
|
instructions.
|
|
The docstring examples assume that `numpy` has been imported as ``np``::
|
|
>>> import numpy as np
|
|
Code snippets are indicated by three greater-than signs::
|
|
>>> x = 42
|
>>> x = x + 1
|
|
Use the built-in ``help`` function to view a function's docstring::
|
|
>>> help(np.sort)
|
... # doctest: +SKIP
|
|
For some objects, ``np.info(obj)`` may provide additional help. This is
|
particularly true if you see the line "Help on ufunc object:" at the top
|
of the help() page. Ufuncs are implemented in C, not Python, for speed.
|
The native Python help() does not know how to view their help, but our
|
np.info() function does.
|
|
Available subpackages
|
---------------------
|
lib
|
Basic functions used by several sub-packages.
|
random
|
Core Random Tools
|
linalg
|
Core Linear Algebra Tools
|
fft
|
Core FFT routines
|
polynomial
|
Polynomial tools
|
testing
|
NumPy testing tools
|
distutils
|
Enhancements to distutils with support for
|
Fortran compilers support and more (for Python <= 3.11)
|
|
Utilities
|
---------
|
test
|
Run numpy unittests
|
show_config
|
Show numpy build configuration
|
__version__
|
NumPy version string
|
|
Viewing documentation using IPython
|
-----------------------------------
|
|
Start IPython and import `numpy` usually under the alias ``np``: `import
|
numpy as np`. Then, directly past or use the ``%cpaste`` magic to paste
|
examples into the shell. To see which functions are available in `numpy`,
|
type ``np.<TAB>`` (where ``<TAB>`` refers to the TAB key), or use
|
``np.*cos*?<ENTER>`` (where ``<ENTER>`` refers to the ENTER key) to narrow
|
down the list. To view the docstring for a function, use
|
``np.cos?<ENTER>`` (to view the docstring) and ``np.cos??<ENTER>`` (to view
|
the source code).
|
|
Copies vs. in-place operation
|
-----------------------------
|
Most of the functions in `numpy` return a copy of the array argument
|
(e.g., `np.sort`). In-place versions of these functions are often
|
available as array methods, i.e. ``x = np.array([1,2,3]); x.sort()``.
|
Exceptions to this rule are documented.
|
|
c ó" dd l } | j j | j j | j j | j j t « | j d« « x}« r | j |« y y )Né z
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|
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|
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|
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polynomiala module 'numpy' has no attribute '{n}'.
|
`np.{n}` was a deprecated alias for the builtin `{n}`. To avoid this error in existing code, use `{n}` by itself. Doing this will not modify any behavior and is safe. {extended_msg}
|
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
|
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|
There are some cases e.g. with wrong BLAS ABI that cause wrong
|
results under specific runtime conditions that are not necessarily
|
achieved during test suite runs, and it is useful to catch those early.
|
|
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|
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|
|
r" )r ç @gñhãµøä>zúThe current Numpy installation ({!r}) fails to pass simple sanity checks. This can be caused for example by incorrect BLAS library being linked in, or by mixing package managers (pip, conda, apt, ...). Search closed numpy issues for similar problems.N)r r r r ÚAssertionErrorÚ RuntimeErrorÚformatr
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)g @rL g ð?r r" é T)ry N)r5 rÕ rÈ rÄ Ú
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|
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Otherwise report this to the vendor that provided NumPy.
|
|
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a*
|
We usually use madvise hugepages support, but on some old kernels it
|
is slow and thus better avoided. Specifically kernel version 4.6
|
had a bug fix which probably fixed this:
|
https://github.com/torvalds/linux/commit/7cf91a98e607c2f935dbcc177d70011e95b8faff
|
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