on_common_axis (pyleoclim.utils.tsutils.on_common_axis)

pyleoclim.utils.tsutils.on_common_axis(x1, y1, x2, y2, method='interpolation', step=None, start=None, stop=None)[source]

Places two timeseries on a common axis

Note this function assumes that the time representation and units are the same (e.g., BP vs CE)

Parameters

  • x1 (array) – x-axis values of the first timeseries

  • y1 (array) – y-axis values of the first timeseries

  • x2 (array) – x-axis values of the second timeseries

  • y2 (array) – y-axis values of the second timeseries

  • method (str) – Which method to use to get the timeseries on the same x axis. Valid entries: ‘interpolation’ (default, linear interpolation), ‘bin’, ‘None’. ‘None’ only cuts the timeseries to the common period but does not attempt to generate a common time axis

  • step (float) – The interpolation step. Default is mean resolution of lowest resolution series

  • start (float) – where/when to start. Default is the maximum of the minima of the two timeseries

  • stop (float) – Where/when to stop. Default is the minimum of the maxima of the two timeseries

Returns

  • xi1, xi2 (array) – The interpolated x-axis

  • interp_values1, interp_values2 (array) – the interpolated y-values