Nctoolkit

This is minor release, which features some method enhancements and bug fixes.

It improves the abilities of temporal methods, giving users the ability to select how they want times in output to be aligned. For example, if you are calculating a rolling mean, you might want the output times to be the first, middle or final time in the temporal window. This release
will add that ability to nctoolkit's temporal methods. Previously nctoolkit used CDO's default methods, and did not allow users to do anything else. By default, output dates will be aligned to the middle time step.

The `match_points` methods were throwing an error when there were non-unique vertical values. This is now fixed.


Some improvements have been made to package internals.

A quick bug fix release.

Fixes an issue with imports that caused `match_points` to fail sometimes. Also, fixes `subset` so that it will allow * and ? wildcards for variables.

This release improves error handling when nctoolkit fails due to an error in Climate Data Operators. Datasets will now be reset to the starting point when this happens and a clear message will given to users.

This is a minor release. It includes method enhancements.

The `subset` method now allows negative time slicing.

The `set_missing` method is deprecated and replaced with a less ambiguously named `as_missing` method.

The `plot` method will no longer show a plot title by default to make things cleaner.

The `vertical_integration` method now works with multi-file datasets and will not calculate vertical integrations for the thickness variable.

Some improvements have been made to improve error messages, and the `check` method now checks for data type of time.

A new method ``as_type`` has been added for changing data type of individual variables and coordinates.

This release enhances a couple of methods.

The `subset` method now lets users subset vertical levels using `levels` or `depths`. This requires a two element list, and the subsetting will give you the levels between the two given. So, `ds.subset(levels = [0, 100])` would give you the top 100 metres in an oceanic dataset.

The `match_points` method now allows extrapolation to vertical depths, with the maximum distance extrapolated given by the `max_extrap` argument.

This release enhances the `subset` method. You can now subset levels in datasets.

Some improvements have also been made to error handling when CDO fails.