MVHistogram.from_data (method)


def from_data(cls, data, bins=10, range=None, weights=None, units=None, labels=None, labels_latex=None, wrap_ats=None)

Create a MVHistogram from data.

Arguments

  • data (array): input array of samples. Passed to np.histogramdd
  • bins (integer or array, optional, default=10): number of bins or bin edges. Passed to np.histogramdd
  • weights (array, optional, default=None): weights for each entry in data. Passed to np.histogramdd
  • units (list of astropy.units objects, optional): the units of the provided values.
  • labels (list of strings, optional): labels for each dimension in the distribution. This is used for the x-labels while plotting the distribution when labels_latex is not provided, as well as a shorthand notation when creating a Composite distribution.
  • labels_latex (list of strings, optional): latex labels for each dimension in the distribution. This is used for plotting the distribution.
  • wrap_ats (list of floats, None, or False, optional, default=None): values 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