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# scipy.stats.ks_2samp

`scipy.stats.``ks_2samp`(data1, data2)

  Computes the Kolmogorov-Smirnof statistic on 2 samples.

  This is a two-sided test for the null hypothesis that 2 independent samples are drawn from the same continuous distribution.

  Parameters: | a, b : sequence of 1-D ndarrays two arrays of sample observations assumed to be drawn from a continuous distribution, sample sizes can be different
  Returns: | D : float KS statistic p-value : float two-tailed p-value

  Notes

  This tests whether 2 samples are drawn from the same distribution. Note that, like in the case of the one-sample K-S test, the distribution is assumed to be continuous.

  This is the two-sided test, one-sided tests are not implemented. The test uses the two-sided asymptotic Kolmogorov-Smirnov distribution.

  If the K-S statistic is small or the p-value is high, then we cannot reject the hypothesis that the distributions of the two samples are the same.

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