Calculate Absolute Value of Float Values in NumPy

AmitDiwan
Updated on 08-Feb-2022 09:49:04

762 Views

To return the absolute value of float values, use the numpy.fabs() method in Python Numpy. This function returns the absolute values (positive magnitude) of the data in x. Complex values are not handled, use absolute to find the absolute values of complex data.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.StepsAt first, import the required library −import numpy as ... Read More

Element-wise Remainder of Division with Modulo in NumPy

AmitDiwan
Updated on 08-Feb-2022 09:45:49

459 Views

To return the element-wise remainder of division with mod operation, use the numpy.mod() 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.StepsAt first, import the required library −import numpy as npCreate an array. This is the dividend array −arr = np.array([3, 9, 14, 22, 76, 81, 91]) Display the array −print("Array...", arr)Get the type of ... Read More

Return Remainder of Division with Dividend and Divisor Array in NumPy

AmitDiwan
Updated on 08-Feb-2022 09:43:17

187 Views

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 ... Read More

Return Element-wise Remainder of Division in NumPy

AmitDiwan
Updated on 08-Feb-2022 09:41:01

408 Views

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 More

Raise Bases to Different Exponents in Numpy

AmitDiwan
Updated on 08-Feb-2022 09:36:50

753 Views

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 More

Return Truncated Value of Array Elements in NumPy

AmitDiwan
Updated on 08-Feb-2022 07:39:17

182 Views

To return the trunc of the array elements, element-wise, use the numpy.trunc() method in Python Numpy. The new location where we will store the result is a new array.The function returns the truncated value of each element in x. This is a scalar if x is a scalar. The truncated value of the scalar x is the nearest integer i which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.The out is a location into which the result is stored. If provided, it must have a shape that the inputs ... Read More

Return Truncated Value of Specific Array Element in NumPy

AmitDiwan
Updated on 08-Feb-2022 07:37:08

150 Views

To return the truncated value of a specific element, use the index value in the numpy.trunc() method in Python Numpy.The function returns the truncated value of each element in x. This is a scalar if x is a scalar. The truncated value of the scalar x is the nearest integer i which is closer to zero than x is. In short, the fractional part of the signed number x is discarded.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 ... Read More

Return the Floor of the Input in NumPy

AmitDiwan
Updated on 08-Feb-2022 07:35:13

209 Views

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

Return the Floor of the Array Elements in NumPy

AmitDiwan
Updated on 08-Feb-2022 07:32:57

153 Views

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

Return Mantissa and Exponent as a Pair in NumPy

AmitDiwan
Updated on 08-Feb-2022 07:30:57

142 Views

To return mantissa and exponent as a pair of a given tuple, use the index value in the numpy.frexp() 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 ... Read More

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