File: install.rst

package info (click to toggle)
photutils 2.3.0-2
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid
  • size: 4,016 kB
  • sloc: python: 29,584; makefile: 115
file content (151 lines) | stat: -rw-r--r-- 4,790 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
************
Installation
************

Requirements
============

Photutils has the following strict requirements:

* `Python <https://www.python.org/>`_ 3.11 or later

* `NumPy <https://numpy.org/>`_ 1.25 or later

* `Astropy`_ 5.3 or later

* `SciPy <https://scipy.org/>`_ 1.11.1 or later

Photutils also optionally depends on other packages for some features:

* `Matplotlib <https://matplotlib.org/>`_ 3.8 or later: Used to power a
  variety of plotting features (e.g., plotting apertures).

* `Regions <https://astropy-regions.readthedocs.io/>`_ 0.9 or
  later: Required to perform aperture photometry using region objects.

* `scikit-image <https://scikit-image.org/>`_ 0.21 or later: Required
  to deblend segmented sources.

* `GWCS <https://gwcs.readthedocs.io/en/stable/>`_ 0.20 or later:
  Required in `~photutils.datasets.make_gwcs` to create a simple celestial
  gwcs object.

* `Bottleneck <https://github.com/pydata/bottleneck>`_: 1.3.6 or later:
  Improves the performance of sigma clipping and other functionality that
  may require computing statistics on arrays with NaN values.

* `tqdm <https://tqdm.github.io/>`_: 4.65 or later: Required to display
  optional progress bars.

* `Rasterio <https://rasterio.readthedocs.io/en/stable/>`_: 1.3.7 or
  later: Required to convert source segments into polygon objects.

* `Shapely <https://shapely.readthedocs.io/en/stable/>`_: 2.0.0 or
  later: Required to convert source segments into polygon objects.


Installing the latest released version
======================================

Using pip
---------

To install Photutils with `pip`_, run::

    pip install photutils

If you want to install Photutils along with all of its optional
dependencies, you can instead run::

    pip install "photutils[all]"

In most cases, this will install a pre-compiled version (called a wheel)
of Photutils, but if you are using a very recent version of Python
or if you are installing Photutils on a platform that is not common,
Photutils will be installed from a source file. In this case you will
need a C compiler (e.g., ``gcc`` or ``clang``) to be installed for the
installation to succeed (see :ref:`building_source` prerequisites).


Using conda
-----------

Photutils can also be installed using the ``conda`` package manager.
There are several methods for installing ``conda`` and many different
ways to set up your Python environment, but that is beyond the
scope of this documentation. We recommend installing `miniforge
<https://github.com/conda-forge/miniforge>`__.

Once you have installed ``conda``, you can install Photutils using the
``conda-forge`` channel::

    conda install -c conda-forge photutils


.. _building_source:

Building from Source
====================

Prerequisites
-------------

You will need a compiler suite and the development headers for Python
and Numpy in order to build Photutils from the source distribution. You
do not need to install any other specific build dependencies (such as
Cython) since these will be automatically installed into a temporary
build environment by `pip`_.

On Linux, using the package manager for your distribution will usually be
the easiest route.

On macOS you will need the `XCode`_ command-line tools, which can be
installed using::

    xcode-select --install

Follow the onscreen instructions to install the command-line tools
required.  Note that you do not need to install the full `XCode`_
distribution (assuming you are using MacOS X 10.9 or later).


Installing the development version
----------------------------------

Photutils is being developed on `GitHub`_.  The latest development
version of the Photutils source code can be retrieved using git::

    git clone https://github.com/astropy/photutils.git

Then to build and install Photutils (with all of its optional
dependencies), run::

    cd photutils
    pip install ".[all]"

Alternatively, `pip`_ can be used to retrieve and install the latest
development wheel (with all optional dependencies)::

    pip install --upgrade --extra-index-url https://pypi.anaconda.org/astropy/simple "photutils[all]" --pre


Testing an installed Photutils
==============================

To test your installed version of Photutils, you can run the test suite
using the `pytest`_ command. Running the test suite requires installing
the `pytest-astropy <https://github.com/astropy/pytest-astropy>`_ (0.11
or later) package.

To run the test suite, use the following command::

    pytest --pyargs photutils

Any test failures can be reported to the `Photutils issue tracker
<https://github.com/astropy/photutils/issues>`_.


.. _pip: https://pip.pypa.io/en/latest/
.. _GitHub: https://github.com/astropy/photutils
.. _Xcode: https://developer.apple.com/xcode/
.. _pytest: https://docs.pytest.org/en/latest/