Series.as_matrix(columns=None)
[source]
Convert the frame to its Numpy-array representation.
Deprecated since version 0.23.0: Use DataFrame.values()
instead.
Parameters: |
columns: list, optional, default:None If None, return all columns, otherwise, returns specified columns. |
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Returns: |
values : ndarray If the caller is heterogeneous and contains booleans or objects, the result will be of dtype=object. See Notes. |
See also
Return is NOT a Numpy-matrix, rather, a Numpy-array.
The dtype will be a lower-common-denominator dtype (implicit upcasting); that is to say if the dtypes (even of numeric types) are mixed, the one that accommodates all will be chosen. Use this with care if you are not dealing with the blocks.
e.g. If the dtypes are float16 and float32, dtype will be upcast to float32. If dtypes are int32 and uint8, dtype will be upcase to int32. By numpy.find_common_type convention, mixing int64 and uint64 will result in a flot64 dtype.
This method is provided for backwards compatibility. Generally, it is recommended to use ‘.values’.
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.as_matrix.html