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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176
|
.. _code_style:
{{ header }}
=======================
pandas code style guide
=======================
.. contents:: Table of contents:
:local:
*pandas* follows the `PEP8 <https://www.python.org/dev/peps/pep-0008/>`_
standard and uses `Black <https://black.readthedocs.io/en/stable/>`_
and `Flake8 <https://flake8.pycqa.org/en/latest/>`_ to ensure a
consistent code format throughout the project. For details see the
:ref:`contributing guide to pandas<contributing.code-formatting>`.
Patterns
========
Using foo.__class__
-------------------
pandas uses 'type(foo)' instead 'foo.__class__' as it is making the code more
readable.
For example:
**Good:**
.. code-block:: python
foo = "bar"
type(foo)
**Bad:**
.. code-block:: python
foo = "bar"
foo.__class__
String formatting
=================
Concatenated strings
--------------------
Using f-strings
~~~~~~~~~~~~~~~
pandas uses f-strings formatting instead of '%' and '.format()' string formatters.
The convention of using f-strings on a string that is concatenated over several lines,
is to prefix only the lines containing values which need to be interpreted.
For example:
**Good:**
.. code-block:: python
foo = "old_function"
bar = "new_function"
my_warning_message = (
f"Warning, {foo} is deprecated, "
"please use the new and way better "
f"{bar}"
)
**Bad:**
.. code-block:: python
foo = "old_function"
bar = "new_function"
my_warning_message = (
f"Warning, {foo} is deprecated, "
f"please use the new and way better "
f"{bar}"
)
White spaces
~~~~~~~~~~~~
Only put white space at the end of the previous line, so
there is no whitespace at the beginning of the concatenated string.
For example:
**Good:**
.. code-block:: python
example_string = (
"Some long concatenated string, "
"with good placement of the "
"whitespaces"
)
**Bad:**
.. code-block:: python
example_string = (
"Some long concatenated string,"
" with bad placement of the"
" whitespaces"
)
Representation function (aka 'repr()')
--------------------------------------
pandas uses 'repr()' instead of '%r' and '!r'.
The use of 'repr()' will only happen when the value is not an obvious string.
For example:
**Good:**
.. code-block:: python
value = str
f"Unknown received value, got: {repr(value)}"
**Good:**
.. code-block:: python
value = str
f"Unknown received type, got: '{type(value).__name__}'"
Imports (aim for absolute)
==========================
In Python 3, absolute imports are recommended. Using absolute imports, doing something
like ``import string`` will import the string module rather than ``string.py``
in the same directory. As much as possible, you should try to write out
absolute imports that show the whole import chain from top-level pandas.
Explicit relative imports are also supported in Python 3 but it is not
recommended to use them. Implicit relative imports should never be used
and are removed in Python 3.
For example:
::
# preferred
import pandas.core.common as com
# not preferred
from .common import test_base
# wrong
from common import test_base
Miscellaneous
=============
Reading from a url
------------------
**Good:**
.. code-block:: python
from pandas.io.common import urlopen
with urlopen('http://www.google.com') as url:
raw_text = url.read()
|