pandas.DataFrame.as_matrix

Pandas DataFrame.as_matrix 方法详解

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本文详细介绍了 Pandas 库中 DataFrame 类的 as_matrix 方法，该方法用于将 DataFrame 转换为 Numpy 数组形式。文章解释了方法的工作原理、参数设置以及返回值类型，并对比了与其他类似方法的区别。

from:http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.as_matrix.html

DataFrame. as_matrix ( columns=None ) [source]

Convert the frame to its Numpy-array representation.

Parameters:

Parameters:	columns: list, optional, default:None If None, return all columns, otherwise, returns specified columns.
Returns:	values : ndarray If the caller is heterogeneous and contains booleans or objects, the result will be of dtype=object. See Notes.

columns: list, optional, default:None

If None, return all columns, otherwise, returns specified columns.

Returns:

values : ndarray

If the caller is heterogeneous and contains booleans or objects, the result will be of dtype=object. See Notes.

See also

pandas.DataFrame.values

Notes

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’.