API

Top-level API

open_dataset(filename_or_obj[, group, ...])	Open and decode a dataset from a file or file-like object.
ureg	Unit registry class.

• primap2.pm2io module
  • convert_long_dataframe_if()
  • convert_wide_dataframe_if()
  • from_interchange_format()
  • nir_add_unit_information()
  • nir_convert_df_to_long()
  • read_interchange_format()
  • read_long_csv_file_if()
  • read_wide_csv_file_if()
  • write_interchange_format()

DataArray

Attributes

DataArray.pr.loc	Attribute for location-based indexing like xr.DataArray.loc, but also supports short aliases like area and translates them into the long names including the corresponding category-set.
DataArray.pr.gwp_context	The pint conversion context for this DataArray, directly usable for conversions.

Methods

DataArray.pr.quantify(**kwargs)	Attaches units to the DataArray.
DataArray.pr.dequantify()	Removes units from the DataArray and its coordinates.
DataArray.pr.convert_to_gwp(gwp_context, units)	Convert to a global warming potential
DataArray.pr.convert_to_gwp_like(like)	Convert to a global warming potential in the units of a reference array using the gwp_context of the reference array.
DataArray.pr.convert_to_mass([gwp_context, ...])	Convert a global warming potential of a greenhouse gas to a mass.
DataArray.pr.fill_all_na(dim[, value])	Fill NA values only where all values along the specified dimension(s) are NA.
DataArray.pr.sum([dim, reduce_to_dim, ...])	Reduce this DataArray's data by applying sum along some dimension(s).
DataArray.pr.count([dim, reduce_to_dim, ...])	Reduce this array by counting along some dimension(s).
DataArray.pr.downscale_timeseries(*, dim, ...)	Downscale timeseries along a dimension using a basket defined on a broader timeseries.
DataArray.pr.__getitem__(item)	Like da[], but translates short aliases like "area" into the long names including the corresponding category-set.
DataArray.pr.set(dim, key, value, *[, ...])	Set values, optionally expanding the given dimension as necessary.
DataArray.pr.coverage(*dims)	Summarize how many data points exist for a dimension combination.
DataArray.pr.to_df([name])	Convert this array into an unstacked (i.e.

Dataset

Attributes

Dataset.pr.loc	Attribute for location-based indexing like xr.Dataset.loc, but also supports short aliases like area and translates them into the long names including the corresponding category-set.
Dataset.pr.references	citable reference(s) describing the data
Dataset.pr.rights	license or other usage restrictions of the data
Dataset.pr.contact	who can answer questions about the data
Dataset.pr.title	a succinct description
Dataset.pr.comment	longer form description
Dataset.pr.institution	where the data originates
Dataset.pr.history	processing steps done on the data

Methods

Dataset.pr.ensure_valid()	Ensure this is a valid primap2 data set.
Dataset.pr.to_netcdf(path[, mode, group, ...])	Write dataset contents to a netCDF file.
Dataset.pr.to_df([name])	Convert this dataset into a pandas.DataFrame.
Dataset.pr.to_interchange_format([time_format])	Convert dataset to the interchange format.
Dataset.pr.quantify([units])	Attaches units to each variable in the Dataset.
Dataset.pr.dequantify()	Removes units from the Dataset and its coordinates.
Dataset.pr.fill_all_na(dim[, value])	Fill NA values only where all values along the specified dimension(s) are NA.
Dataset.pr.sum([dim, reduce_to_dim, skipna, ...])	Reduce this Dataset's data by applying sum along some dimension(s).
Dataset.pr.count([dim, reduce_to_dim, ...])	Reduce this Dataset by counting along some dimension(s).
Dataset.pr.gas_basket_contents_sum(*, ...[, ...])	The sum of gas basket contents converted using the global warming potential of the gas basket.
Dataset.pr.fill_na_gas_basket_from_contents(*, ...)	Fill NA values in a gas basket using the sum of its contents.
Dataset.pr.downscale_timeseries(*, dim, ...)	Downscale timeseries along a dimension using a basket defined on a broader timeseries.
Dataset.pr.downscale_gas_timeseries(*, ...)	Downscale a gas basket defined on a broader timeseries to its contents known on fewer time points.
Dataset.pr.__getitem__(item)	Like ds[], but translates short aliases like "area" into the long names including the corresponding category-set.
Dataset.pr.set(dim, key, value, *[, ...])	Set values, optionally expanding the given dimension as necessary.
Dataset.pr.coverage(*dims)	Summarize how many data points exist for a dimension combination.