This modules lets you parse XDI files into Pandas dataframes.
from xdi_pandas import parse
df = parse('file.chir')
print(df.metadata)
print(df.metadata['Version'])
print(df.metadata['Element']['symbol'])
print(df['fit'])
print(df['residual'])
df2 = parse('file2.lcf')XDI Pandas being developed primarily to help generate in batch graphs for Athena generated files, it supports several Athena extension fields.
Fields are defined and validated in [./xdi-pandas/xdi_types.py] following the spec.
List of supported fields :
$ python -c 'from xdi_pandas.xdi_types import xdi_fields; print("\n".join(xdi_fields.keys()))'
Beamline.collimation
Beamline.focusing
Beamline.harmonic_rejection
Beamline.name
Detector.i0
Detector.it
Detector.if
Detector.ir
Element.edge
Element.symbol
Element.reference
Element.ref_edge
Mono.d_spacing
Mono.name
Facility.current
Facility.energy
Athena.bkg_kweight
Athena.clamps
Athena.dk
Athena.dr
Athena.e0
Athena.edge_step
Athena.eshift
Athena.fixed_step
Athena.importance
Athena.k_range
Athena.kweight
Athena.normalization_range
Athena.phase_correction
Athena.plot_multiplier
Athena.post_edge_polynomial
Athena.pre_edge_line
Athena.pre_edge_range
Athena.r_range
Athena.rbkg
Athena.spline_range_energy
Athena.spline_range_k
Athena.standard
Athena.window
Athena.y_offset
Scan.start_time
Scan.end_time
Scan.edge_energy
Sample.name
Sample.id
Sample.stoichiometry
Sample.prep
Sample.experimenters
Sample.temperature
nosetest is used for the tests.
make test will run the tests
Thanks to Kenneth Reitz for is super useful python module directory structure.