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Utilities for parsing time strings

Project description

Utilities for parsing time strings in Python.

Building and installation

Before installing chronos you will have to generate some of its modules as it is explained in Chronos readme Then, you can simply run

pip install bigml-chronos


Python 2.7 and Python 3 are currently supported.

The basic third-party dependencies are isoweek and pytz. These libraries are automatically installed during the setup.

Running the tests

The tests will be run using nose, that is installed on setup. You can run the test suite simply by issuing

python nosetests

Basic methods

Chronos offers the following main functions:

  • With parse you can parse a date. You can specify a format name with format_name, a list of possible format names with format_names or not specify any format. In the last case, parse will try all the possible formats until it finds the correct one:

    from bigml_chronos import chronos
    chronos.parse("1969-W29-1", format_name="week-date")
    from bigml_chronos import chronos
    chronos.parse("1969-W29-1", format_names=["week-date", "week-date-time"])
    from bigml_chronos import chronos
    chronos.parse("7-14-1969 5:36 PM")
  • You can also find the format_name from a date with find_format:

    from bigml_chronos import parser

Instead of the name of the format, you can also pass a string containing some Joda-Time directives.

from bigml_chronos import chronos
chronos.parse("1969-01-29", format_name="YYYY-MM-dd")

If both format_name and format_names are passed, it will try all the possible formats in format_names and format_name.

You can find all the supported formats, and an example for each one of them inside the test file.

Project details

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