orsopy.fileio.orso

Implementation of the top level class for the ORSO header.

class orsopy.fileio.orso.Orso(data_source, reduction, columns, data_set=None, **user_data)[source]

Bases: Header

The Orso object collects the necessary metadata.

Parameters:

data_source (DataSource) – Information about the origin and ownership of the raw data.
reduction (Reduction) – Details of the data reduction that has been performed. The content of this section should contain enough information to rerun the reduction.
columns (List[Union[Column, ErrorColumn]]) – Information about the columns of data that will be contained in the file.
data_set (Union[int, str, None]) – An identifier for the data set, i.e. if there is more than one data set in the object.

data_source: DataSource

reduction: Reduction

columns: List[Union[Column, ErrorColumn]]

data_set: Union[int, str, None] = None

classmethod empty()[source]

Create an empty instance of the ORSO header with all non-optional attributes as None.

Return type:: Orso
Returns:: Empty Orso class, within minimum required columns

column_header()[source]

An information string that explains what each of the columns in a dataset corresponds to.

Return type:: str
Returns:: Explanatory string.

from_difference(other_dict)[source]

Constructs another Orso instance from self, and a dict containing updated header information.

Parameters:: other_dict (dict) – Contains updated header information.
Return type:: Orso
Returns:: A new Orso object constructed from self, and the updated header information.

to_difference(other)[source]

A dictionary containing the difference in header information between two Orso objects.

Parameters:: other (Orso) – Other header to diff with.
Return type:: dict
Returns:: Dictionary of the header information difference.

to_dict()[source]: Adds the user data to the returned dictionary.

comment: Optional[str] = None

class orsopy.fileio.orso.OrsoDataset(info, data)[source]

Bases: object

Parameters:

info (Orso) – The header information for the reflectivity measurement
data (Union[ndarray, Sequence[ndarray], Sequence[Sequence]]) – The numerical data associated with the reflectivity measurement. The data has shape (npnts, ncols).

Raises:

ValueError – When ncols != len(self.info.columns).

info: Orso

data: Union[ndarray, Sequence[ndarray], Sequence[Sequence]]

classmethod from_dict(data_dict)[source]

header()[source]

The header string for the ORSO file.

Return type:: str
Returns:: Header string.

diff_header(other)[source]

Return a header string that only contains changes to other OrsoDataset ensure that data_set is the first entry.

Parameters:: other (OrsoDataset) – Other OrsoDataset to compare against.
Return type:: str
Returns:: Header string with only changes.

save(fname)[source]

Save the OrsoDataset.

Parameters:: fname (Union[TextIO, str]) – The file name to save to.

orsopy.fileio.orso.save_orso(datasets, fname, comment=None, data_separator='')[source]

Saves an ORSO file. Each of the datasets must have a unique OrsoDataset.info.data_set attribute. If that attribute is not set, it is given an integer value corresponding to it’s position in the list.

Parameters:

datasets (List[OrsoDataset]) – List of OrsoDataset to save into the Orso file.
fname (Union[TextIO, str]) – The file name to save to.
comment (Optional[str]) – Comment to write at the top of Orso file.
data_separator (str) – Optional string of newline characters to separate multiple datasets.

Raises:

ValueError – If the OrsoDataset.info.data_set values are not unique.

Return type:

None

orsopy.fileio.orso.load_orso(fname)[source]

Parameters:: fname (Union[TextIO, str]) – The Orso file to load.
Return type:: List[OrsoDataset]
Returns:: OrsoDataset objects for each dataset contained within the ORT file.

orsopy.fileio.orso.load_nexus(fname)[source]

Return type:: List[OrsoDataset]

orsopy.fileio.orso.save_nexus(datasets, fname, comment=None)[source]

Return type:: BinaryIO