# spacepy.seapy.Sea2d

class spacepy.seapy.Sea2d(data, times, epochs, window=3.0, delta=1.0, verbose=False, y=[])

  SeaPy 2D Superposed epoch analysis object

  Initialize object with data (n element vector), times(y*n array), epochs, window (half-width), delta (optional), and y (two-element vector with max and min of y;optional) ‘times’ and epochs should be in some useful format Includes method to perform superposed epoch analysis of input data series

  Parameters
    data array_like

      2-D array of data (0th dimension is quantity y, 1st dimension is time)

    times array_like

      list of datetime objects (or list of serial times)

    epochs array_like

      list of datetime objects (or serial times) for zero epochs in SEA

    window datetime.timedelta

      size of the half-window for the SEA (can also be given as serial time)

    delta datetime.timedelta

      resolution of the input data series, which must be uniform (can also be given as serial time)

  Notes

  Output can be nicely plotted with `plot()`, or for multiple objects use the `multisea()` function

  `sea`([storedata, quartiles, ci, mad, ...]) | Perform 2D superposed epoch analysis on data in object
  `plot`([xquan, yquan, xunits, yunits, zunits, ...]) | Method called to create basic plot of 2D superposed epoch analysis.

  sea(storedata=False, quartiles=True, ci=False, mad=False, ci_quan='median', nmask=1, **kwargs)

    Perform 2D superposed epoch analysis on data in object

    Uses object attributes obj.data, obj.times, obj.epochs, obj.delta, obj.window, all of which must be available on instantiation.

    Other Parameters
      storedata boolean

        saves matrix of epoch windows as obj.datacube (default = False)

      quartiles list

        calculates the inter-quartile range to show the spread (and is default);

      ci float

        will find the bootstrapped confidence interval (and requires ci_quan to be set)

      mad float

        will use the median absolute deviation for the spread;

      ci_quan string

        can be set to ‘median’ or ‘mean’

    Notes

    A basic plot can be raised with `plot()`

  plot(xquan='Time Since Epoch', yquan='', xunits='', yunits='', zunits='', epochline=True, usrlimy=[], show=True, zlog=True, figsize=None, dpi=300)

    Method called to create basic plot of 2D superposed epoch analysis.

    Uses object attributes created by `sea()`.

    Other Parameters
      x(y)quan str

        x(y)-axis label. (default = ‘Time since epoch’ (None))

      x(y/z)units str

        x(y/z)-axis units. (default = None (None))

      epochline boolean

        put vertical line at zero epoch. (default = True)

      usrlimy list

        override automatic y-limits on plot. (default = [])

      show boolean

        shows plot; set to false to output plot object to variable (default = True)

      figsize tuple

        (width, height) in inches

      dpi int

        figure resolution in dots per inch (default=300)

    Notes

    If both quan and units are supplied, axis label will read ‘Quantity Entered By User [Units]’