NumPy Tutorial

Python NumPy Tutorial numpy.empty() in Python numpy.empty_like() in Python numpy.eye() in Python numpy.identity() in Python numpy.ones() in Python numpy.ones_like() in Python numpy.zeros in Python numpy.zeros_like() in Python numpy.full() in Python numpy.full_like() in Python numpy.asarray() in Python numpy.frombuffer() in Python numpy.fromiter() in Python numpy.fromstring () in Python numpy.asanyarray() in Python with Example numpy.ascontiguousarray() in Python with Example Numpy.asmatrix() in Python with Example Numpy.copy() in Python with Example numpy.loadtxt() Python numpy.arrange() in Python numpy.linspace() in Python numpy.logspace() in Python numpy.geomspace() in Python numpy.meshgrid() in Python numpy.diag() in Python numpy.diagflat() in Python numpy.tri() in Python numpy.tril() in Python numpy.copyto() in Python numpy.reshape() in Python numpy.ravel() in Python numpy.ndarray.flat() in Python numpy.ndarray.flatten() in Python numpy.rollaxis() in Python numpy.swapaxes() in Python numpy.ndarray.T in Python numpy.transpose() in Python numpy.atleast_1d() in Python numpy.atleast_2d() in Python numpy.atleast_3d() in Python numpy.broadcast_to() in Python numpy.broadcast_arrays() in Python numpy.expand_dims() in Python numpy.squeeze() in Python numpy.asarray_chkfinite() in Python numpy.asscalar() in Python numpy.concatenate() in Python numpy.stack() in Python numpy.column_stack() in Python numpy.dstack() in Python numpy.hstack() in Python numpy.vstack() in Python numpy.split() in Python numpy.tile() in Python numpy.repeat() in Python numpy.delete() in Python numpy.append() in Python numpy.resize() in Python numpy.trim_zeros() in Python numpy.unique() in Python numpy.flip() in Python NumPy vs SciPy

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Numpy Attributes

numpy.full() in Python

numpy.full() in Python The full() method of Python numpy class returns a new array of specified shape and type, filled with fill_value. Syntax

numpy.full(shape, fill_value, dtype=None, order='C')
Parameter shape:This parameter represents the number of rows order :The order parameter can be either C_contiguous or F_contiguous.dtype :It is an optional parameter. It depicts the data type of returned array, and by default, it is a float. fill_value :It represents the value to fill in the array. It is an optional parameter, by default it is Boolean. Return This method returns a new array with the same shape and type as a given array that is filled with fill_value. Example 1
# Python Programming giving an example for
# numpy.full() method
importnumpy as numpy
obj1 = numpy.full([2, 2], 17, dtype = int)
print("\nFirst Matrix : \n", obj1)
obj2 = numpy.full([3, 3], 11.9)
print("\nSecond Matrix : \n", obj2)
Output First Matrix :
 [[17 17]
[17 17]]
Second Matrix :
 [[ 11.9  11.9  11.9]
[ 11.9  11.9  11.9]
[ 11.9  11.9  11.9]]