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You can have a regular Python module, say config.py, like this: truck = dict( color = 'blue', brand = 'ford', ) city = 'new york' cabriolet = dict( color = 'black', engine = dict( cylinders = 8, placement = 'mid', ), doors = 2, ) and use it like this: import config print(config.truck['color'])
In your python code you can then load the config params into a dictionary by doing this: import yaml with open('your_config_name.yml') as stream: config = yaml.safe_load(stream) You then access e.g. path1 like this from your dictionary config: config['path1']
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For example: In the example above, ConfigParser with interpolation set to BasicInterpolation() would resolve %(home_dir)s to the value of home_dir (/Users in this case). %(my_dir)s in effect would resolve to /Users/lumberjack. All interpolations are done on demand so keys used in the chain of references do not have to be specified in any specific o...
With interpolation set to None, the parser would simply return %(my_dir)s/Pictures as the value of my_pictures and %(home_dir)s/lumberjack as the value of my_dir.
This method transforms option names on every read, get, or set operation. The default converts the name to lowercase. This also means that when a configuration file gets written, all keys will be lowercase. Override this method if thats unsuitable. For example:
A compiled regular expression used to parse section headers. The default matches [section] to the name \"section\". Whitespace is considered part of the section name, thus [ larch ] will be read as a section of name \" larch \". Override this attribute if thats unsuitable. For example: The main configuration parser. When defaults is given, it is in...
Interpolation behaviour may be customized by providing a custom handler through the interpolation argument. None can be used to turn off interpolation completely, ExtendedInterpolation() provides a more advanced variant inspired by zc.buildout. More on the subject in the dedicated documentation section.
When converters is given, it should be a dictionary where each key represents the name of a type converter and each value is a callable implementing the conversion from string to the desired datatype. Every converter gets its own corresponding get*() method on the parser object and section proxies.
Legacy variant of the ConfigParser. It has interpolation disabled by default and allows for non-string section names, option names, and values via its unsafe add_section and set methods, as well as the legacy defaults= keyword argument handling.
Feb 27, 2024 · Python provides the config parser module in the standard library to work with configuration files. This module allows you to read and write configuration files in the INI format. Here, we will use this module to write a configuration file in Python.
Nov 2, 2022 · Config files store key-value pairs that are read by your application at startup and used as part of its logic. ConfigParser is a Python module that allows to create configuration files in a simple way. With ConfigParser you can also read or update the content of a configuration file.
Apr 15, 2021 · In this article, we will cover what config files are before introducing the Python module configparser.py. We’ll then use some examples to help you to understand, create, read, and update config files of your own.
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Aug 26, 2022 · A simple guide on how to use Python library "configparser" to create, read, parse, and modify config files (Generally ending with .conf, .ini, etc) in Python. Apart from basics, tutorial covers how to add/remove sections, create configuration from Python dictionary or strings and specify section details as formatted Python strings.
