datamuxer.DataMuxer.bin_by_edges¶

DataMuxer.bin_by_edges(bin_edges, bin_anchors, interpolation=None, agg=None, use_cols=None)[source]¶

Return data resampled into bins with the specified edges.

Parameters:	bin_edges (list) – list of two-element items like [(t1, t2), (t3, t4), ...] bin_anchors (list) – These are time points where interpolated values will be evaluated. Bin centers are usually a good choice. interpolation (dict, optional) – Override the default interpolation (upsampling) behavior of any data source by passing a dictionary of source names mapped onto one of the following interpolation methods. {None, ‘linear’, ‘nearest’, ‘zero’, ‘slinear’, ‘quadratic’, ‘cubic’} None means that each time bin must have at least one value. See scipy.interpolator for more on the other methods. agg (dict, optional) – Override the default reduction (downsampling) behavior of any data source by passing a dictionary of source names mapped onto any callable that reduces multiple data points (of whatever dimension) to a single data point. use_cols (list, optional) – List of columns to include in binning; use all columns by default.
Returns:	resampled_df
Return type:	pandas.DataFrame

References