Metadata-Version: 1.1
Name: natsort
Version: 3.1.1
Summary: Sort lists naturally
Home-page: https://github.com/SethMMorton/natsort
Author: Seth M. Morton
Author-email: drtuba78@gmail.com
License: MIT
Description: natsort
=======
Natural sorting for python. ``natsort`` requires python version 2.6 or greater
(this includes python 3.x). To run version 2.6, 3.1, or 3.2 the
`argparse `_ module is required.
``natsort`` comes with a shell script that is described below. You can
also execute ``natsort`` from the command line with ``python -m natsort``.
There exists another natural sorting package for python called
`naturalsort `_. You may prefer
this package if you wish to only sort version numbers.
Problem Statement
-----------------
When you try to sort a list of strings that contain numbers, the normal python
sort algorithm sorts lexicographically, so you might not get the results that you
expect::
>>> a = ['a2', 'a9', 'a1', 'a4', 'a10']
>>> sorted(a)
['a1', 'a10', 'a2', 'a4', 'a9']
Notice that it has the order ('1', '10', '2') - this is because the list is
being sorted in lexicographically order, which sorts numbers like you would
letters (i.e. 'a', 'at', 'b'). It would be better if you had a sorting
algorithm that recognized numbers as numbers and treated them like numbers,
not letters.
This is where ``natsort`` comes in: it provides a key that helps sort lists
"naturally". It provides support for ints and floats (including negatives and
exponential notation) that you can turn off to support sorting version numbers.
Synopsis
--------
Using ``natsort`` is simple::
>>> from natsort import natsorted
>>> a = ['a2', 'a9', 'a1', 'a4', 'a10']
>>> natsorted(a)
['a1', 'a2', 'a4', 'a9', 'a10']
``natsort`` identifies the numbers and sorts them separately from strings.
You can also mix and match ``int``, ``float``, and ``str`` (or ``unicode``) types
when you sort::
>>> a = ['4.5', 6, 2.3, '5']
>>> natsorted(a)
[2.3, '4.5', '5', 6]
>>> # On Python 2, sorted(a) would return [2.3, 6, '4.5', '5']
>>> # On Python 3, sorted(a) would raise an "unorderable types" TypeError
The natsort algorithm will recursively descend into lists of lists so you can sort by
the sublist contents::
>>> data = [['a1', 'a5'], ['a1', 'a40'], ['a10', 'a1'], ['a2', 'a5']]
>>> sorted(data)
[['a1', 'a40'], ['a1', 'a5'], ['a10', 'a1'], ['a2', 'a5']]
>>> natsorted(data)
[['a1', 'a5'], ['a1', 'a40'], ['a2', 'a5'], ['a10', 'a1']]
The Sorting Algorithms
''''''''''''''''''''''
Sometimes you want to sort by floats, sometimes by ints, and sometimes simply
by digits. ``natsort`` supports all three number types. They can be chosen
with the ``number_type`` argument to ``natsorted``.
Sort by floats
++++++++++++++
By default, ``natsort`` searches for floats (even in exponential
notation!). This means that it will look for things like negative
signs and decimal points when determining a number::
>>> a = ['a50', 'a51.', 'a50.4', 'a5.034e1', 'a50.300']
>>> sorted(a)
['a5.034e1', 'a50', 'a50.300', 'a50.4', 'a51.']
>>> natsorted(a, number_type=float)
['a50', 'a50.300', 'a5.034e1', 'a50.4', 'a51.']
>>> natsorted(a) # Float is the default behavior
['a50', 'a50.300', 'a5.034e1', 'a50.4', 'a51.']
Sort by ints
++++++++++++
In some cases you don't want ``natsort`` to identify your numbers as floats,
particularly if you are sorting version numbers. This is because you want the
version '1.10' to come after '1.2', not before. In that case, it is advantageous
to sort by ints, not floats::
>>> a = ['ver1.9.9a', 'ver1.11', 'ver1.9.9b', 'ver1.11.4', 'ver1.10.1']
>>> sorted(a)
['ver1.10.1', 'ver1.11', 'ver1.11.4', 'ver1.9.9a', 'ver1.9.9b']
>>> natsorted(a)
['ver1.10.1', 'ver1.11', 'ver1.11.4', 'ver1.9.9a', 'ver1.9.9b']
>>> natsorted(a, number_type=int)
['ver1.9.9a', 'ver1.9.9b', 'ver1.10.1', 'ver1.11', 'ver1.11.4']
Sort by digits (best for version numbers)
+++++++++++++++++++++++++++++++++++++++++
The only difference between sorting by ints and sorting by digits is that
sorting by ints may take into account a negative sign, and sorting by digits
will not. This may be an issue if you used a '-' as your separator before the
version numbers. Essentially this is a shortcut for a number type of ``int``
and the ``signed`` option of ``False``::
>>> a = ['ver-2.9.9a', 'ver-1.11', 'ver-2.9.9b', 'ver-1.11.4', 'ver-1.10.1']
>>> natsorted(a, number_type=int)
['ver-2.9.9a', 'ver-2.9.9b', 'ver-1.10.1', 'ver-1.11', 'ver-1.11.4']
>>> natsorted(a, number_type=None)
['ver-1.10.1', 'ver-1.11', 'ver-1.11.4', 'ver-2.9.9a', 'ver-2.9.9b']
Using a sorting key
'''''''''''''''''''
Like the built-in ``sorted`` function, ``natsorted`` can accept a key so that
you can sort based on a particular item of a list or by an attribute of a class::
>>> from operator import attrgetter, itemgetter
>>> a = [['num4', 'b'], ['num8', 'c'], ['num2', 'a']]
>>> natsorted(a, key=itemgetter(0))
[['num2', 'a'], ['num4', 'b'], ['num8', 'c']]
>>> class Foo:
... def __init__(self, bar):
... self.bar = bar
... def __repr__(self):
... return "Foo('{0}')".format(self.bar)
>>> b = [Foo('num3'), Foo('num5'), Foo('num2')]
>>> natsorted(b, key=attrgetter('bar'))
[Foo('num2'), Foo('num3'), Foo('num5')]
API
---
The ``natsort`` package provides three functions: ``natsort_key``,
``natsorted``, and ``index_natsorted``.
natsorted
'''''''''
``natsort.natsorted`` (*sequence*, *key* = ``lambda x: x``, *number_type* = ``float``, *signed* = ``True``, *exp* = ``True``)
sequence (*iterable*)
The sequence to sort.
key (*function*)
A key used to determine how to sort each element of the sequence.
number_type (``None``, ``float``, ``int``)
The types of number to sort by: ``float`` searches for floating point numbers,
``int`` searches for integers, and ``None`` searches for digits (like integers
but does not take into account negative sign). ``None`` is a shortcut for
``number_type = int`` and ``signed = False``.
signed (``True``, ``False``)
By default a '+' or '-' before a number is taken to be the sign of the number.
If ``signed`` is ``False``, any '+' or '-' will not be considered to be part
of the number, but as part of the string.
exp (``True``, ``False``)
This option only applies to ``number_type = float``. If ``exp = True``, a string
like ``"3.5e5"`` will be interpreted as ``350000``, i.e. the exponential part
is considered to be part of the number. If ``exp = False``, ``"3.5e5"`` is
interpreted as ``(3.5, "e", 5)``. The default behavior is ``exp = True``.
returns
The sorted sequence.
Use ``natsorted`` just like the builtin ``sorted``::
>>> from natsort import natsorted
>>> a = ['num3', 'num5', 'num2']
>>> natsorted(a)
['num2', 'num3', 'num5']
natsort_key
'''''''''''
``natsort.natsort_key`` (value, *number_type* = ``float``, *signed* = ``True``, *exp* = ``True``)
value
The value used by the sorting algorithm
number_type (``None``, ``float``, ``int``)
The types of number to sort on: ``float`` searches for floating point numbers,
``int`` searches for integers, and ``None`` searches for digits (like integers
but does not take into account negative sign). ``None`` is a shortcut for
``number_type = int`` and ``signed = False``.
signed (``True``, ``False``)
By default a '+' or '-' before a number is taken to be the sign of the number.
If ``signed`` is ``False``, any '+' or '-' will not be considered to be part
of the number, but as part part of the string.
exp (``True``, ``False``)
This option only applies to ``number_type = float``. If ``exp = True``, a string
like ``"3.5e5"`` will be interpreted as ``350000``, i.e. the exponential part
is considered to be part of the number. If ``exp = False``, ``"3.5e5"`` is
interpreted as ``(3.5, "e", 5)``. The default behavior is ``exp = True``.
returns
The modified value with numbers extracted.
Using ``natsort_key`` is just like any other sorting key in python::
>>> from natsort import natsort_key
>>> a = ['num3', 'num5', 'num2']
>>> a.sort(key=natsort_key)
>>> a
['num2', 'num3', 'num5']
If you need to call ``natsort_key`` with the ``number_type`` argument, or get a special
attribute or item of each element of the sequence, the easiest way is to make a
``lambda`` expression that calls ``natsort_key``::
>>> from operator import itemgetter
>>> a = [['num4', 'b'], ['num8', 'c'], ['num2', 'a']]
>>> f = itemgetter(0)
>>> a.sort(key=lambda x: natsort_key(f(x), number_type=int))
>>> a
[['num2', 'a'], ['num4', 'b'], ['num8', 'c']]
index_natsorted
'''''''''''''''
``natsort.index_natsorted`` (*sequence*, *key* = ``lambda x: x``, *number_type* = ``float``, *signed* = ``True``, *exp* = ``True``)
sequence (*iterable*)
The sequence to sort.
key (*function*)
A key used to determine how to sort each element of the sequence.
number_type (``None``, ``float``, ``int``)
The types of number to sort on: ``float`` searches for floating point numbers,
``int`` searches for integers, and ``None`` searches for digits (like integers
but does not take into account negative sign). ``None`` is a shortcut for
``number_type = int`` and ``signed = False``.
signed (``True``, ``False``)
By default a '+' or '-' before a number is taken to be the sign of the number.
If ``signed`` is ``False``, any '+' or '-' will not be considered to be part
of the number, but as part part of the string.
exp (``True``, ``False``)
This option only applies to ``number_type = float``. If ``exp = True``, a string
like ``"3.5e5"`` will be interpreted as ``350000``, i.e. the exponential part
is considered to be part of the number. If ``exp = False``, ``"3.5e5"`` is
interpreted as ``(3.5, "e", 5)``. The default behavior is ``exp = True``.
returns
The ordered indexes of the sequence.
Use ``index_natsorted`` if you want to sort multiple lists by the sort order of
one list::
>>> from natsort import index_natsorted
>>> a = ['num3', 'num5', 'num2']
>>> b = ['foo', 'bar', 'baz']
>>> index = index_natsorted(a)
>>> index
[2, 0, 1]
>>> # Sort both lists by the sort order of a
>>> [a[i] for i in index]
['num2', 'num3', 'num5']
>>> [b[i] for i in index]
['baz', 'foo', 'bar']
Shell Script
------------
For your convenience, there is a ``natsort`` shell script supplied to you that
allows you to call ``natsort`` from the command-line. ``natsort`` was written to
aid in computational chemistry research so that it would be easy to analyze
large sets of output files named after the parameter used::
$ ls *.out
mode1000.35.out mode1243.34.out mode744.43.out mode943.54.out
(Obviously, in reality there would be more files, but you get the idea.) Notice
that the shell sorts in lexicographical order. This is the behavior of programs like
``find`` as well as ``ls``. The problem is in passing these files to an
analysis program that causes them not to appear in numerical order, which can lead
to bad analysis. To remedy this, use ``natsort``::
# This won't get you what you want
$ foo *.out
# This will sort naturally
$ natsort *.out
mode744.43.out
mode943.54.out
mode1000.35.out
mode1243.34.out
$ natsort *.out | xargs foo
You can also filter out numbers using the ``natsort`` command-line script::
$ natsort *.out -f 900 1100 # Select only numbers between 900-1100
mode943.54.out
mode1000.35.out
If needed, you can exclude specific numbers::
$ natsort *.out -e 1000.35 # Exclude 1000.35 from search
mode744.43.out
mode943.54.out
mode1243.34.out
For other options, use ``natsort --help``. In general, the other options mirror
the ``natsorted`` API.
It is also helpful to note that ``natsort`` accepts pipes.
Note to users of the ``natsort`` shell script from < v. 3.1.0
'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
The ``natsort`` shell script options and implementation for version 3.1.0 has
changed slightly. Options relating to interpreting input as file or directory
paths have been removed, and internally the input is no longer treated as file
paths. In most situations, this should not give different results, but in
some unique cases it may. Feel free to contact me if this ruins your work flow.
Author
------
Seth M. Morton
History
-------
03-01-2014 v. 3.1.1
'''''''''''''''''''
- Added ability to sort lists of lists
- Cleaned up import statements
01-20-2014 v. 3.1.0
'''''''''''''''''''
- Added the ``signed`` and ``exp`` options to allow finer tuning of the sorting
- Entire codebase now works for both Python 2 and Python 3 without needing to run
``2to3``.
- Updated all doctests.
- Further simplified the ``natsort`` base code by removing unneeded functions.
- Simplified documentation where possible.
- Improved the shell script code
- Made the documentation less "path"-centric to make it clear it is not just
for sorting file paths.
- Removed the filesystem-based options because these can be achieved better
though a pipeline.
- Added doctests.
- Added new options that correspond to ``signed`` and ``exp``.
- The user can now specify multiple numbers to exclude or multiple ranges
to filter by.
10-01-2013 v. 3.0.2
'''''''''''''''''''
- Made float, int, and digit searching algorithms all share the same base function
- Fixed some outdated comments
- Made the ``__version__`` variable available when importing the module
8-15-2013 v. 3.0.1
''''''''''''''''''
- Added support for unicode strings.
- Removed extraneous ``string2int`` function.
- Fixed empty string removal function.
7-13-2013 v. 3.0.0
''''''''''''''''''
- Added a ``number_type`` argument to the sorting functions to specify how
liberal to be when deciding what a number is.
- Reworked the documentation.
6-25-2013 v. 2.2.0
''''''''''''''''''
- Added ``key`` attribute to ``natsorted`` and ``index_natsorted`` so that
it mimics the functionality of the built-in ``sorted``
- Added tests to reflect the new functionality, as well as tests demonstrating
how to get similar functionality using ``natsort_key``.
12-5-2012 v. 2.1.0
''''''''''''''''''
- Reorganized package
- Now using a platform independent shell script generator (entry_points
from distribute)
- Can now execute natsort from command line with ``python -m natsort``
as well
11-30-2012 v. 2.0.2
'''''''''''''''''''
- Added the use_2to3 option to setup.py
- Added distribute_setup.py to the distribution
- Added dependency to the argparse module (for python2.6)
11-21-2012 v. 2.0.1
'''''''''''''''''''
- Reorganized directory structure
- Added tests into the natsort.py file iteself
11-16-2012, v. 2.0.0
''''''''''''''''''''
- Updated sorting algorithm to support floats (including exponentials) and
basic version number support
- Added better README documentation
- Added doctests
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Information Technology
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Utilities