pyhande.utils¶

Utility procedures for manipulating HANDE data.

pyhande.utils.groupby_beta_loops(data, name='iterations')¶

Group a HANDE DMQMC data table by beta loop.

Parameters:	data (`pandas.DataFrame`) – DMQMC data table (e.g. obtained by `pyhande.extract.extract_data()`.
Returns:	grouped – GroupBy object with data table grouped by beta loop.
Return type:	`pandas.DataFrameGroupBy`

pyhande.utils.groupby_iterations(data)¶

Group a HANDE QMC data table by blocks of iterations.

Parameters:	data (`pandas.DataFrame`) – QMC data table (e.g. obtained by `pyhande.extract.extract_data()`.
Returns:	grouped – GroupBy object with data table grouped into blocks within which the iteration count increases monotonically.
Return type:	`pandas.DataFrameGroupBy`