0.5.0

This is a minor release with the following changes:

• The function validate_datetime() is deprecated and replaced by the functions
  validate_date() and validate_timestamp(). The new functions validates
  values of types datetime.date and pandas.Timestamp, respectively.
• Type conversion is no longer carried out by the functions validate_numeric()
  and validate_string(). It will be up to the user to ensure that the data types
  are correct before the validation.
• Documentation has been updated with two new quickstart examples.

0.4.0

This is a minor release with the following changes:

• Non-NumPy numeric dtypes should now be supported.
• The ValidationWarning is now issued att stack level 2. This makes it possible to
  trace the line of code that called the function that raised the warning.

0.3.2

This is a patch release that fixes an issue with validating numbers with min_value=0
or max_value=0.

0.3.1

This is a patch release with a few fixes to the documentation.

0.3.0

This minor release contains the following changes:

• The validation functions now have a return_type argument that gives
  the user control over the output. This replaces the return_values argument.
• When returning values, the validation functions now filter out all invalid
  values.
• A few tests have been added to test_pandasvalidation.py.
• Documentation up to date
• Removed use of the deprecated pandas.tslib

Released: 2018-01-03

0.2.0

This is a minor release with the following changes:

• Function not_convertible() renamed mask_nonconvertible()
• Updated text in README.rst
• Updated instructions in release-checklist.rst
• Small fixes to the documentation

0.1.1

This is a patch release with the following changes:

• Updated text in the README file.
• Updated instructions for Travis-CI.
• Added a release checklist.
• Removed test libraries from requirements file.

0.1.0

Initial production release