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Array creation routines — NumPy v2.5 Manual

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Array creation routines#

See also

From shape or value#

`empty`(shape[,dtype,order,device,like])	Return a new array of given shape and type, without initializing entries.
`empty_like`(prototype,/[,dtype,order,...])	Return a new array with the same shape and type as a given array.
`eye`(N[,M,k,dtype,order,device,like])	Return a 2-D array with ones on the diagonal and zeros elsewhere.
`identity`(n[,dtype,like])	Return the identity array.
`ones`(shape[,dtype,order,device,like])	Return a new array of given shape and type, filled with ones.
`ones_like`(a[,dtype,order,subok,shape,...])	Return an array of ones with the same shape and type as a given array.
`zeros`(shape[,dtype,order,device,like])	Return a new array of given shape and type, filled with zeros.
`zeros_like`(a[,dtype,order,subok,shape,...])	Return an array of zeros with the same shape and type as a given array.
`full`(shape,fill_value[,dtype,order,...])	Return a new array of given shape and type, filled with fill_value.
`full_like`(a,fill_value[,dtype,order,...])	Return a full array with the same shape and type as a given array.

From existing data#

`array`(object[,dtype,copy,order,subok,...])	Create an array.
`asarray`(a[,dtype,order,device,copy,like])	Convert the input to an array.
`asanyarray`(a[,dtype,order,device,copy,like])	Convert the input to an ndarray, but pass ndarray subclasses through.
`ascontiguousarray`(a[,dtype,like])	Return a contiguous array (ndim >= 1) in memory (C order).
`asmatrix`(data[,dtype])	Interpret the input as a matrix.
`astype`(x,dtype,/,*[,copy,device])	Copies an array to a specified data type.
`copy`(a[,order,subok])	Return an array copy of the given object.
`frombuffer`(buffer[,dtype,count,offset,like])	Interpret a buffer as a 1-dimensional array.
`from_dlpack`(x,/,*[,device,copy])	Create a NumPy array from an object implementing the `__dlpack__` protocol.
`fromfile`(file[,dtype,count,sep,offset,like])	Construct an array from data in a text or binary file.
`fromfunction`(function,shape,*[,dtype,like])	Construct an array by executing a function over each coordinate.
`fromiter`(iter,dtype[,count,like])	Create a new 1-dimensional array from an iterable object.
`fromstring`(string[,dtype,count,like])	A new 1-D array initialized from text data in a string.
`loadtxt`(fname[,dtype,comments,delimiter,...])	Load data from a text file.

Creating record arrays#

Note

Please refer to Record arrays for record arrays.

`rec.array`(obj[,dtype,shape,offset,...])	Construct a record array from a wide-variety of objects.
`rec.fromarrays`(arrayList[,dtype,shape,...])	Create a record array from a (flat) list of arrays
`rec.fromrecords`(recList[,dtype,shape,...])	Create a recarray from a list of records in text form.
`rec.fromstring`(datastring[,dtype,shape,...])	Create a record array from binary data
`rec.fromfile`(fd[,dtype,shape,offset,...])	Create an array from binary file data

Creating character arrays (`numpy.char`)#

Note

numpy.char is used to create character arrays.

`char.array`(obj[,itemsize,copy,unicode,order])	Create a `chararray`.
`char.asarray`(obj[,itemsize,unicode,order])	Convert the input to a `chararray`, copying the data only if necessary.

Numerical ranges#

`arange`([start,]stop[,step,][,dtype,...])	Return evenly spaced values within a given interval.
`linspace`(start,stop[,num,endpoint,...])	Return evenly spaced numbers over a specified interval.
`logspace`(start,stop[,num,endpoint,base,...])	Return numbers spaced evenly on a log scale.
`geomspace`(start,stop[,num,endpoint,...])	Return numbers spaced evenly on a log scale (a geometric progression).
`meshgrid`(*xi[,copy,sparse,indexing])	Return a tuple of coordinate matrices from coordinate vectors.
`mgrid`	An instance which returns a dense multi-dimensional "meshgrid".
`ogrid`	An instance which returns an open multi-dimensional "meshgrid".

Building matrices#

`diag`(v[,k])	Extract a diagonal or construct a diagonal array.
`diagflat`(v[,k])	Create a two-dimensional array with the flattened input as a diagonal.
`tri`(N[,M,k,dtype,like])	An array with ones at and below the given diagonal and zeros elsewhere.
`tril`(m[,k])	Lower triangle of an array.
`triu`(m[,k])	Upper triangle of an array.
`vander`(x[,N,increasing])	Generate a Vandermonde matrix.

The matrix class#

bmat(obj[,ldict,gdict])

Build a matrix object from a string, nested sequence, or array.

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Constants

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