pyinterp.core.Histogram2DFloat32

class pyinterp.core.Histogram2DFloat32

Bases: pybind11_object

Histogram2DFloat32(self, x: pyinterp.core.Axis, y: pyinterp.core.Axis, bins: int | None = None)Group continuous values into bins located on a grid.

Group a number of more or less continuous values into a smaller number of “bins” located on a grid.

Parameters:

  • x – Definition of the bin centers for the X axis of the grid.

  • y – Definition of the bin centers for the Y axis of the grid.

  • bins – Maximum number of bins per pixel to use to calculate the histogram. Default is None, which means that the number of bins is computed automatically.

Attributes

x

Get the bin centers for the X Axis of the grid.

y

Get the bin centers for the Y Axis of the grid.

Public Methods

clear(self)

Reset the statistics.

count(self)

Compute the count of points within each bin.

histograms(self)

Compute the histograms for each bin.

kurtosis(self)

Compute the kurtosis of values for points within each bin.

max(self)

Compute the maximum of values for points within each bin.

mean(self)

Compute the mean of values for points within each bin.

min(self)

Compute the minimum of values for points within each bin.

push(self, x, y, z)

Push new samples into the defined bins.

quantile(self[, q])

Compute the quantile of points within each bin.

skewness(self)

Compute the skewness of values for points within each bin.

sum_of_weights(self)

Compute the sum of weights for points within each bin.

variance(self)

Compute the variance of values for points within each bin.

Special Methods

__copy__(self)

Implement the shallow copy operation.

__getstate__(self, /)

__iadd__(self, other)

Override the default behavior of the += operator.

__setstate__(self, arg0)