histogram2d(x, y, bins=10, range=None, normed=None, weights=None, density=None)
An array containing the x-coordinates of the points to be histogrammed.
An array containing the y-coordinates of the points to be histogrammed.
The bin specification. See the :None:None:`bins` argument description for histogramdd
for a complete description of all possible bin configurations (this function is a 2D specific version of histogramdd).
The leftmost and rightmost edges of the bins along each dimension when integers are passed to :None:None:`bins`; of the form: ((xmin, xmax), (ymin, ymax)).
An alias for the density argument that behaves identically. To avoid confusion with the broken argument in the histogram
function, :None:None:`density` should be preferred.
An array of values weighing each sample in the input data. The chunks of the weights must be identical to the chunking along the 0th (row) axis of the data sample.
If False (the default) return the number of samples in each bin. If True, the returned array represents the probability density function at each bin.
The values of the histogram.
The edges along the x-dimension.
The edges along the y-dimension.
Blocked variant of numpy.histogram2d
.
>>> import dask.array as daThis example is valid syntax, but we were not able to check execution
... x = da.array([2, 4, 2, 4, 2, 4])
... y = da.array([2, 2, 4, 4, 2, 4])
... bins = 2
... range = ((0, 6), (0, 6))
... h, xedges, yedges = da.histogram2d(x, y, bins=bins, range=range)
... h dask.array<sum-aggregate, shape=(2, 2), dtype=float64, chunksize=(2, 2), chunktype=numpy.ndarray>
>>> xedges dask.array<array, shape=(3,), dtype=float64, chunksize=(3,), chunktype=numpy.ndarray>This example is valid syntax, but we were not able to check execution
>>> h.compute() array([[2., 1.], [1., 2.]])See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.routines.histogram2d
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