### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Statistical functions for masked arrays (`scipy.stats.mstats`) »

# scipy.stats.mstats.count_tied_groups

`scipy.stats.mstats.``count_tied_groups`(x, use_missing=False)

  Counts the number of tied values.

  Parameters : | x : sequence Sequence of data on which to counts the ties use_missing : boolean Whether to consider missing values as tied.
  Returns : | count_tied_groups : dict Returns a dictionary (nb of ties: nb of groups).

  Examples

      >>> z = [0, 0, 0, 2, 2, 2, 3, 3, 4, 5, 6]
      >>> count_tied_groups(z)
      >>> {2:1, 3:2}
      >>> # The ties were 0 (3x), 2 (3x) and 3 (2x)
      >>> z = ma.array([0, 0, 1, 2, 2, 2, 3, 3, 4, 5, 6])
      >>> count_tied_groups(z)
      >>> {2:2, 3:1}
      >>> # The ties were 0 (2x), 2 (3x) and 3 (2x)
      >>> z[[1,-1]] = masked
      >>> count_tied_groups(z, use_missing=True)
      >>> {2:2, 3:1}
      >>> # The ties were 2 (3x), 3 (2x) and masked (2x)

### Navigation

- index
- modules |
- modules |
- next |
- previous |
- SciPy v0.12 Reference Guide (DRAFT) »
- Statistical functions for masked arrays (`scipy.stats.mstats`) »