transfer data copy function */

transfer data free function */

Alias to mask.

Extend DataSource method to prepend baseurl to ``path``.

Helper function used to implement the ``<type>fit`` functions. Parameters ---------- vander_f : function(array_like, int) -> ndarray

Helper function used to implement the ``<type>fromroots`` functions. Parameters ---------- line_f : function(float, float) -> ndarra

Returns the underlying data, as a view of the masked array. If the underlying data is a subclass of :class:`numpy.ndarray`, it is

* This function tells whether NumPy attempts to call `madvise` with * `MADV_HUGEPAGE`. `madvise` is only ever used on linux, so the value * of `_ma

Checks safety of getfield for object arrays. As in _view_is_safe, we need to check that memory containing objects is not reinterpreted as a

Helper function used to implement the ``<type>grid<n>d`` functions. Parameters ---------- val_f : function(array_like, array_like, t

Histogram bin estimator that uses the minimum width of the Freedman-Diaconis and Sturges estimators if the FD bin width is non-zero. If t

Doane's histogram bin estimator. Improved version of Sturges' formula which works better for non-normal data. See stats.stackexchang

Rice histogram bin estimator. Another simple estimator with no normality assumption. It has better performance for large data than Sturg

Scott histogram bin estimator. The binwidth is proportional to the standard deviation of the data and inversely proportional to the cube

Square root histogram bin estimator. Bin width is inversely proportional to the data size. Used by many programs for its simplicity.

Histogram bin estimator based on minimizing the estimated integrated squared error (ISE). The number of bins is chosen by minimizing the est

Replace a type-alias with a concrete ``NBitBase`` subclass.