larray.from_series¶
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larray.
from_series
(s, sort_rows=False, fill_value=nan, meta=None, **kwargs)[source]¶ Converts Pandas Series into Array.
Parameters: - s : Pandas Series
Input Pandas Series.
- sort_rows : bool, optional
Whether or not to sort the rows alphabetically. Defaults to False.
- fill_value : scalar, optional
Value used to fill cells corresponding to label combinations which are not present in the input Series. Defaults to NaN.
- meta : list of pairs or dict or OrderedDict or Metadata, optional
Metadata (title, description, author, creation_date, …) associated with the array. Keys must be strings. Values must be of type string, int, float, date, time or datetime.
Returns: - Array
See also
Examples
>>> from larray import ndtest >>> s = ndtest((2, 2, 2), dtype=float).to_series() >>> s # doctest: +NORMALIZE_WHITESPACE a b c a0 b0 c0 0.0 c1 1.0 b1 c0 2.0 c1 3.0 a1 b0 c0 4.0 c1 5.0 b1 c0 6.0 c1 7.0 dtype: float64 >>> from_series(s) a b\c c0 c1 a0 b0 0.0 1.0 a0 b1 2.0 3.0 a1 b0 4.0 5.0 a1 b1 6.0 7.0