What’s new¶

v1.5.2 (2021-07-06)
v1.5.1 (2021-07-01)
v1.5.0 (2021-06-27)
v1.4.0 (2021-04-26)
v1.3.0 (2021-03-22)
v1.2.1 (2021-03-08)
v1.2.0 (2021-03-08)
v1.1.1 (2021-02-22)
v1.1.0 (2021-02-16)
v1.0.0 (2021-02-13)
v0.4.0 (2021-02-07)
v0.3.0 (2021-02-05)
v0.2.0 (2021-01-18)
v0.1.0 (2021-01-10)

v1.5.2 (2021-07-06)¶

Bugfix: order-insensitive Key.dims broke get() in some circumstances (PR #46).

Bugfix: infer_keys() raises AttributeError under some circumstances (PR #45).

Adjust test_assign_coords() for xarray 0.18.2 (PR #43).
Make Key.dims order-insensitive so that Key("foo", "ab") == Key("foo", "ba") (PR #42); make corresponding changes to Computer (PR #44).
Fix “AttributeError: ‘COO’ object has no attribute ‘item’” on SparseDataArray.item() (PR #41).

plotnine.Plot.save() automatically converts inputs (specified with Plot.inputs) from Quantity to DataFrame, but others (e.g. basic Python types) are passed through unchanged (PR #40).
plotnine.Plot.save() generates no output file if generate() returns None/empty list.
Quote dict argument to Computer.aggregrate() (for grouped aggregation) to avoid collisions between its contents and other graph keys.

Bump minimum version of sparse from 0.10 to 0.12 and adjust to changes in this version (PR #39)
- Remove SparseDataArray.equals(), obviated by improvements in sparse.
Improve AttrSeries (PR #39)
- Implement drop_vars() and expand_dims().
- assign_coords() can relabel an entire dimension.
- sel() can accept DataArray indexers and rename/combine dimensions.

Provide abstract Quantity.to_series method for type checking in packages that depend on genno.

Quantity becomes an actual class, rather than a factory function; AttrSeries and SparseDataArray are subclasses (PR #37).
AttrSeries gains methods bfill(), cumprod(), ffill(), and shift() (PR #37)
computations.load_file() uses the skipinitialspace parameter to pandas.read_csv(); extra dimensions not mentioned in the dims parameter are preserved (PR #37).
AttrSeries.sel() accepts xarray.DataArray for xarray-style indexing (PR #37).

Computer.add_single() incorrectly calls check_keys() on iterables (e.g. pandas.DataFrame) that are not computations (PR #36).

computations.add() transforms compatible units, and raises an exception for incompatible units (PR #31).
Improve handling of scalar quantities (PR #31).
Plot is fault-tolerant: if any of the input quantities are missing, it becomes a no-op (PR #31).
Computer.configure() accepts a fail argument, allowing partial handling of configuration data/files, with errors logged but not raised (PR #31).
New computations.pow() (PR #31).

Adjust for usage by ixmp.reporting and message_ix.reporting (PR #28):
- Reduce minimum Python version to 3.6. This is lower than the minimum version for xarray (3.7), but matches ixmp, etc.
- Remove compat.ixmp; this code has been moved to ixmp.reporting, replacing what was there. Likewise, remove compat.message_ix.
- Simplify the form & parsing of iamc: section entries in configuration files:
  - Remove unused feature to add group_sum() to the chain of tasks.
  - Keys now conform more closely to the arguments of Computer.convert_pyam().
- Move argument-checking from as_pyam() to convert_pyam().
- Simplify semantics of genno.config.handles() decorator.
  Remove CALLBACKS feature, for now.
- Computer.get_comp() and require_compat() are now public methods.
- Expand tests.
Protect Computer configuration from dask.optimization.cull(); this prevents infinite recursion if the configuration contains strings matching keys in the graph. Add unquote() (#25, PR #26).
Simplify collect_units() and improve unit handling in ratio() (#25, PR #26).
Add file-based caching via Computer.cache() and genno.caching (#20, PR #24).

Add file-based configuration in genno.config and associated documentation (#8, PR #16).