scipy.stats.nanmedian¶

scipy.stats.nanmedian(x, axis=0)[source]

Compute the median along the given axis ignoring nan values.

Parameters : x : array_like Input array. axis : int, optional Axis along which the median is computed. Default is 0, i.e. the first axis. m : float The median of x along axis.

See also

Examples

```>>> from scipy import stats
>>> a = np.array([0, 3, 1, 5, 5, np.nan])
>>> stats.nanmedian(a)
array(3.0)
```
```>>> b = np.array([0, 3, 1, 5, 5, np.nan, 5])
>>> stats.nanmedian(b)
array(4.0)
```

Example with axis:

```>>> c = np.arange(30.).reshape(5,6)
>>> idx = np.array([False, False, False, True, False] * 6).reshape(5,6)
>>> c[idx] = np.nan
>>> c
array([[  0.,   1.,   2.,  nan,   4.,   5.],
[  6.,   7.,  nan,   9.,  10.,  11.],
[ 12.,  nan,  14.,  15.,  16.,  17.],
[ nan,  19.,  20.,  21.,  22.,  nan],
[ 24.,  25.,  26.,  27.,  nan,  29.]])
>>> stats.nanmedian(c, axis=1)
array([  2. ,   9. ,  15. ,  20.5,  26. ])
```

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