Data Muxer

Data Muxer is a tool for interleaving (“muxing”) separate streams of data based on time. For example, readings taking asynchronously must be aligned – that is, assigned common bins in time – before they can be plotted against each other.

API reference

DataMuxer

DataMuxer()	This class provides a wrapper layer of signals and slots around a pandas DataFrame to make plugging stuff in for live view easier.
DataMuxer.bin_by_edges(bin_edges, bin_anchors)	Return data resampled into bins with the specified edges.
DataMuxer.bin_on(source_name[, ...])	Return data resampled to align with the data from a particular source.
DataMuxer.from_events(events[, verbose])	Create a DataMuxer from a list of Events.
DataMuxer.to_sparse_dataframe([...])	Obtain all measurements in a DataFrame, one row per Event time.

ColSpec

Named-tuple sub-class to validate the column specifications for the

Helpers

dataframe_to_dict(df)

Turn a DataFrame into a dict of lists.

Exceptions

BinningError	An exception to raise if there are insufficient sampling rules to upsampling or downsample a data column into specified bins.
BadDownsamplerError	An exception to raise if a downsampler produces unexpected output.