v0.6.7

• Add respect leap years option for climatology calculation.

v0.6.6

• Compatible with Python 3.6
• Updated build process to also build wheels for Python 3.6

v0.6.5

• Add additonal functions for working with dekads.

v0.6.4

• Refactor resampling routine to be more modular and better usable outside of pytesmo.

v0.6.3

• temporal matching performance improvement of approx. 50%
• Add functions for handling dekadal dates. See pytesmo.timedate.dekad.

v0.6.2

• Fix metadata for new version of pypi.

v0.6.1

v0.6.1, 2017-01-13

• Add return_clim keyword to anomaly calculation. Useful for getting both
  anomaly and climatology in one pandas.DataFrame. Also used in time series
  anomaly plot.
• Fix bug in julian2date which led to negative microseconds in some edge cases.

Bye Bye ASCAT readers and small bugfixes.

• Moved the ASCAT readers to the ascat package. The functionality is the same, just replace
  import pytesmo.io.sat.ascat by import ascat and everything should work the same as before.
• The H07 reader now returns also ssm mean as a value between 0 and 100. Before
  it was between 0 and 1 and inconsistent with the other ssm values.
• Fix small bug in julian date calculation and add tests for it.
• Add hamming window to resample module

Version 0.5.2 - Bugfix and performance improvements

• Fix bugs when the validation framework encountered empty datasets for various reasons.
• Add dataset adapters for masking and anomaly calculation.
• Improve performance of moving average calculation and ISMN readers.
• ISMN readers are approx. an order of magnitude faster now.

Small Bugfixes, and refactoring

• Fix bug in jobs argument passing to Validation class.
• Add support to use a pre initialized DataManager instance in the Validation class.
• Add support for per dataset reading method names in the DataManager. This
  relaxes the assumption that every dataset has a read_ts method.