Tabular

class gspy.src.classes.data.Tabular.Tabular(xarray_obj)

Accessor to xarray.Dataset that handles Tabular data

See also

gspy.Spatial_ref: For Spatial reference instantiation.

static count_column_headers(columns)

Takes the header of a csv and counts repeated entries

A header “depth[0], depth[1], depth[2] will create an entry {‘depth’:3}

Parameters:: columns (list of str) – list of column names
Returns:: Dictionary with each unique column name and its count
Return type:: dict

get_fortran_format(key, default_f32='f10.3', default_f64='g16.6')

property is_netcdf

classmethod open_netcdf(filename, group='tabular', **kwargs)

Lazy loads a netCDF file but enforces CF convention when opening

Parameters:

filename (str) – NetCDF file
group (str, optional) – The NetCDF group containing Tabular data, by default ‘tabular’

Return type:

xarray.Dataset

classmethod read(filename, metadata_file=None, spatial_ref=None, **kwargs)

Instantiate a Tabular class from tabular data

When reading the metadata and data file, the following are established in order * User defined dimensions * User defined coordinates * Columns are read in and/or combined and added to the Dataset as variables

Parameters:

filename (str) – Filename to read from.
metadata_file (str, optional) – Json file name, by default None
spatial_ref (dict, gspy.Spatial_ref, or xarray.DataArray, optional) – Spatial ref object, by default None

Returns:

Dataset with all data read in.

Return type:

xarray.Dataset