Function histogramdd

dask/array/routines.py:1182–1519

Blocked variant of :func:`numpy.histogramdd`. Chunking of the input data (``sample``) is only allowed along the 0th (row) axis (the axis corresponding to the total number of samples). Data chunked along the 1st axis (column) axis is not compatible with this function. If weights are

(sample, bins, range=None, normed=None, weights=None, density=None)

def histogramdd(sample, bins, range=None, normed=None, weights=None, density=None):
    """Blocked variant of :func:`numpy.histogramdd`.

    Chunking of the input data (``sample``) is only allowed along the
    0th (row) axis (the axis corresponding to the total number of
    samples). Data chunked along the 1st axis (column) axis is not
    compatible with this function. If weights are used, they must be
    chunked along the 0th axis identically to the input sample.

    An example setup for a three dimensional histogram, where the
    sample shape is ``(8, 3)`` and weights are shape ``(8,)``, sample
    chunks would be ``((4, 4), (3,))`` and the weights chunks would be
    ``((4, 4),)`` a table of the structure:

    +-------+-----------------------+-----------+
    |       |      sample (8 x 3)   |  weights  |
    +=======+=====+=====+=====+=====+=====+=====+
    | chunk | row | `x` | `y` | `z` | row | `w` |
    +-------+-----+-----+-----+-----+-----+-----+
    |       |   0 |   5 |   6 |   6 |   0 | 0.5 |
    |       +-----+-----+-----+-----+-----+-----+
    |       |   1 |   8 |   9 |   2 |   1 | 0.8 |
    |   0   +-----+-----+-----+-----+-----+-----+
    |       |   2 |   3 |   3 |   1 |   2 | 0.3 |
    |       +-----+-----+-----+-----+-----+-----+
    |       |   3 |   2 |   5 |   6 |   3 | 0.7 |
    +-------+-----+-----+-----+-----+-----+-----+
    |       |   4 |   3 |   1 |   1 |   4 | 0.3 |
    |       +-----+-----+-----+-----+-----+-----+
    |       |   5 |   3 |   2 |   9 |   5 | 1.3 |
    |   1   +-----+-----+-----+-----+-----+-----+
    |       |   6 |   8 |   1 |   5 |   6 | 0.8 |
    |       +-----+-----+-----+-----+-----+-----+
    |       |   7 |   3 |   5 |   3 |   7 | 0.7 |
    +-------+-----+-----+-----+-----+-----+-----+

    If the sample 0th dimension and weight 0th (row) dimension are
    chunked differently, a ``ValueError`` will be raised. If
    coordinate groupings ((x, y, z) trios) are separated by a chunk
    boundary, then a ``ValueError`` will be raised. We suggest that you
    rechunk your data if it is of that form.

    The chunks property of the data (and optional weights) are used to
    check for compatibility with the blocked algorithm (as described
    above); therefore, you must call `to_dask_array` on a collection
    from ``dask.dataframe``, i.e. :class:`dask.dataframe.Series` or
    :class:`dask.dataframe.DataFrame`.

    The function is also compatible with `x`, `y`, and `z` being
    individual 1D arrays with equal chunking. In that case, the data
    should be passed as a tuple: ``histogramdd((x, y, z), ...)``

    Parameters
    ----------
    sample : dask.array.Array (N, D) or sequence of dask.array.Array
        Multidimensional data to be histogrammed.

        Note the unusual interpretation of a sample when it is a