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Numpy Articles
Page 59 of 81
Return an element-wise indication of the sign of complex types in Numpy
To return an element-wise indication of the sign of complex types, use the numpy.sign() method in Python Numpy.The sign function returns -1 if x < 0, 0 if x==0, 1 if x > 0. nan is returned for nan inputs. For complex inputs, the sign function returns sign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j.The complex(nan, 0) is returned for complex nan inputs. There is more than one definition of sign in common use for complex numbers. The definition used here is equivalent to x/x*x which is different from a common alternative, x/|x|.StepsAt first, import the required ...
Read MoreRound elements of the array to the nearest integer in Numpy
To round elements of the array to the nearest integer, use the numpy.rint() method in Python Numpy. For values exactly halfway between rounded decimal values, NumPy rounds to the nearest even value.The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The condition is broadcast over the input. At locations where the condition is True, the out array will be set ...
Read MoreCalculate the absolute value of complex numbers in Numpy
To return the absolute value of complex values, use the numpy.absolute() method in Python Numpy. The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.The condition is broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original value. Note that if ...
Read MoreReturn the element-wise remainder of division in Numpy
To return the element-wise remainder of division, use the numpy.remainder() method in Python Numpy. Here, the 1st parameter is the Dividend array. The 2nd parameter is the Divisor array.Computes the remainder complementary to the floor_divide function. It is equivalent to the Python modulus operator''x1 % x2'' and has the same sign as the divisor x2. The MATLAB function equivalent to np.remainder is mod.The out is a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as ...
Read MoreRaise the bases to different exponents in Numpy
To raise the bases to different exponents, use the numpy.power() method in Python. Here, the 1st parameter is the base and the 2nd exponents.Raise each base in x1 to the positionally-corresponding power in x2. x1 and x2 must be broadcastable to the same shape. An integer type raised to a negative integer power will raise a ValueError. Negative values raised to a non-integral value will return nan. To get complex results, cast the input to complex, or specify the dtype to be complex.The condition is broadcast over the input. At locations where the condition is True, the out array will ...
Read MoreReturn the floor of the input in Numpy
To return the floor of the input, use the numpy.floor() method in Python Numpy. The floor of the scalar x is the largest integer i, such that i
Read MoreReturn the floor of the array elements in Numpy
To return the floor of the array elements, element-wise, use the numpy.floor() method in Python Numpy. The floor of the scalar x is the largest integer i, such that i
Read MoreReturn a 2-D array with ones on the diagonal and zeros elsewhere in Numpy
The numpy.eye() returns a 2-D array with 1’s as the diagonal and 0’s elsewhere. Here, the 1st parameter means the "Number of rows in the output" i.e. 4 means 4x4 array. The 2nd parameter is the number of columns in the output.The function eye() returns an array where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one. The dtype is the data-type of the returned array. The order suggests whether the output should be stored in row-major (C-style) or column-major (Fortran-style) order in memory.The like parameter is a reference object to allow ...
Read MoreReturn a new array with the same shape and type as a given array and change the order to C style in Numpy
To return a new array with the same shape and type as a given array, use the numpy.empty_like() method in Python Numpy. It returns the array of uninitialized (arbitrary) data with the same shape and type as prototype. The 1st parameter here is the shape and data-type of prototype(array-like) that define these same attributes of the returned array. We have set the order to 'C' style using the "order" parameter.The order overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if prototype is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of ...
Read MoreReturn a new array with the same shape and type as a given array and change the order to K style in Numpy
To return a new array with the same shape and type as a given array, use the numpy.empty_like() method in Python Numpy. It returns the array of uninitialized (arbitrary) data with the same shape and type as prototype. The 1st parameter here is the shape and data-type of prototype(array-like) that define these same attributes of the returned array. We have set the order to 'K' style using the "order" parameter. ‘K’ means match the layout of prototype as closely as possible.The order overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if prototype ...
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