Exporting data

The Loader().save() method accepts 3 arguments; path, which is the file path to save the file into, data, which is the Data1D or Data2D object, and, optionally, ext, a file extension. If an extension is passed to save, any file extension in the file path will be superseded. If no file extension is given in the filename or format, a ValueError will be thrown.

Save format options are limited to:
  • .xml: for the canSAS XML format

  • .h5: for the NXcanSAS format

  • .txt: for the multi-column ascii format

  • .csv: for a comma delimited text format

Save argument examples and associated data output

filename

format

saved file name

saved file format

‘mydata’

‘.csv’

mydata.csv

CSV format

‘mydata.xml’

None

mydata.xml

canSAS XML format

‘mydata.xml’

‘.csv’

mydata.xml.csv

CSV format

‘mydata’

None

N/A

raises ValueError

To export data using the scripting interface, ensure the python environment is correctly set up and activated.

(sasdata) $ python
>>> from sasdata.dataloader.loader import Loader
>>> loader_module = Loader()
>>> loaded_data_sets = loader_module.load(path="/path/to/imported/file.ext")
>>> loaded_data_set = loaded_data_sets[0]
>>> loader_module.save(path='/path/to/file/exported/filename.ext', data=loaded_data_set)

Please read more on the supported Data Formats.

For more information on the native data structure, please see the documentation for Data1D for 1-dimensional data and Data2D for 2-dimensional data.

Note

This help document was last modified by Jeff Krzywon, 29Sep2023