scipy.stats.mstats.argstoarray#

scipy.stats.mstats.argstoarray(*args)[source]#

Constructs a 2D array from a group of sequences.

Sequences are filled with missing values to match the length of the longest sequence.

Parameters:

*argssequences: Group of sequences.

Returns:

argstoarrayMaskedArray: A ( m x n ) masked array, where m is the number of arguments and n the length of the longest argument.

Notes

numpy.ma.vstack has identical behavior, but is called with a sequence of sequences.

Examples

A 2D masked array constructed from a group of sequences is returned.

>>> from scipy.stats.mstats import argstoarray
>>> argstoarray([1, 2, 3], [4, 5, 6])
masked_array(
 data=[[1.0, 2.0, 3.0],
       [4.0, 5.0, 6.0]],
 mask=[[False, False, False],
       [False, False, False]],
 fill_value=1e+20)

The returned masked array filled with missing values when the lengths of sequences are different.

>>> argstoarray([1, 3], [4, 5, 6])
masked_array(
 data=[[1.0, 3.0, --],
       [4.0, 5.0, 6.0]],
 mask=[[False, False,  True],
       [False, False, False]],
 fill_value=1e+20)