classmethod MultiIndex.from_arrays(arrays, sortorder=None, names=None) Convert arrays to MultiIndex
| Parameters: |
arrays : list / sequence of array-likes Each array-like gives one level’s value for each data point. len(arrays) is the number of levels. sortorder : int or None Level of sortedness (must be lexicographically sorted by that level) |
|---|---|
| Returns: |
index : MultiIndex |
See also
MultiIndex.from_tuples
MultiIndex.from_product
>>> arrays = [[1, 1, 2, 2], ['red', 'blue', 'red', 'blue']]
>>> MultiIndex.from_arrays(arrays, names=('number', 'color'))
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http://pandas.pydata.org/pandas-docs/version/0.18.1/generated/pandas.MultiIndex.from_arrays.html