Histogram.from_data (method)


def from_data(cls, data, bins=10, range=None, weights=None, label=None, label_latex=None, unit=None, wrap_at=None)

Create a Histogram distribution from data. Note that under-the-hood a linear interpolator is used between the bins for the pdf, cdf, and ppf functions (and for sampling).

This can also be created from a function at the top-level as:

See also:

Arguments

  • data (np.array object): 1D array of values.
  • bins (int or array, optional, default=10): number of bins or value of bin edges. Passed to np.histogram.
  • range (tuple, optional, default=None): passed to np.histogram.
  • weights (array, optional, default=None): passed to np.histogram.
  • unit (astropy.units object, optional): the units of the provided values.
  • label (string, optional): a label for the distribution. This is used for the x-label while plotting the distribution if label_latex is not provided, as well as a shorthand notation when creating a Composite distribution.
  • label_latex (string, optional): a latex label for the distribution. This is used for the x-label while plotting.
  • wrap_at (float, None, or False, optional, default=None): value to use for wrapping. If None and unit are angles, will default to 2*pi (or 360 degrees). If None and unit are cycles, will default to 1.0.

Returns