Array Creation Routines

The following tables show array creation routines provided by NLCPy.

Ones and Zeros

`nlcpy.empty`	Returns a new array of given shape and type, without initializing entries.
`nlcpy.empty_like`	Returns a new array with the same shape and type as a given array.
`nlcpy.eye`	Returns a 2-D array with ones on the diagonal and zeros elsewhere.
`nlcpy.identity`	Returns the identity array.
`nlcpy.ones`	Returns a new array of given shape and type, filled with ones.
`nlcpy.ones_like`	Returns an array of ones with the same shape and type as a given array.
`nlcpy.zeros`	Returns a new array of given shape and type, filled with zeros.
`nlcpy.zeros_like`	Returns an array of zeros with the same shape and type as a given array.
`nlcpy.full`	Returns a new array of given shape and type, filled with fill_value.
`nlcpy.full_like`	Returns a full array with the same shape and type as a given array.

`nlcpy.array`	Creates an array.
`nlcpy.asarray`	Converts the input to an array.
`nlcpy.asanyarray`	Converts the input to an array, but passes ndarray subclasses through.
`nlcpy.copy`	Returns an array copy of the given object.
`nlcpy.fromfile`	Constructs an array from data in a text or binary file.
`nlcpy.loadtxt`	Loads data from a text file.

`nlcpy.arange`	Returns evenly spaced values within a given interval.
`nlcpy.linspace`	Returns evenly spaced numbers over a specified interval.
`nlcpy.logspace`	Returns numbers spaced evenly on a log scale.
`nlcpy.meshgrid`	Returns coordinate matrices from coordinate vectors.

`nlcpy.diag`	Extracts a diagonal or constructs a diagonal array.
`nlcpy.diagflat`	Creates a two-dimensional array with the flattened input as a diagonal.
`nlcpy.tri`	An array with ones at and below the given diagonal and zeros elsewhere.
`nlcpy.tril`	Lower triangle of an array.
`nlcpy.triu`	Upper triangle of an array.