# spacepy.seapy.sea_signif

`spacepy.seapy.``sea_signif`(obj1, obj2, test='KS', show=True, xquan='Time Since Epoch', yquan='', xunits='', yunits='', epochline=True, usrlimy=[])

  Test for similarity between distributions at each lag in two 1-D SEAs

  Parameters: | obj1 : Sea First instance for comparison obj2 : Sea Second instance for comparison
  Other Parameters:
  | test (default = ‘KS’) Test to apply at each lag: KS is 2-smaple Kolmogorov-Smirnov; U is Mann-Whitney U-test show (default = True) xquan (default = ‘Time since epoch’ (None)) - x-axis label. yquan (default = ‘Time since epoch’ (None)) - y-axis label. xunits (default = None (None)) - x-axis units. yunits (default = None (None)) - y-axis units. epochline (default = True) - put vertical line at zero epoch. usrlimy (default = []) - override automatic y-limits on plot.

  Examples

      >>> obj1 = seapy.Sea(data1, times1, epochs1)
      >>> obj2 = seapy.Sea(data2, times2, epochs2)
      >>> obj1.sea(storedata=True)
      >>> obj2.sea(storedata=True)
      >>> seapy.sea_signif(obj1, obj2)