AmitDiwan has Published 11360 Articles

Return the truncated value of the array elements in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 11:03:34

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To return the truncated value of the array elements, use 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 ... Read More

Return the floor of a specific array element in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:57:53

92 Views

To return the floor of a specific array element, use the index value in the numpy.floor() method in Python Numpy. The floor of the scalar x is the largest integer i, such that i

Return the Lower triangle of an array and set the diagonal above which to zero elements in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:53:06

284 Views

To return the lower triangle of an array, use the numpy.tril() method in Python Numpy −The 1st parameter is the input arrayThe 2nd parameter is the 'k' i.e. the diagonal above which to zero elements.k = 0 (the default) is the main diagonal, k 0 is above.The function returns ... Read More

Java Program to Print an Integer

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:51:46

6K+ Views

In this article, we will understand how to print an integer in Java. It uses the int data type. The int data type is a 32-bit signed two's complement integer. The Minimum value is 2, 147, 483, 648 (-2^31) and the Maximum 2, 147, 483, 647(inclusive) (2^31 -1). Integer is ... Read More

Create an array with ones at and below the given diagonal and zeros elsewhere with a different output type in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:49:03

73 Views

To create an array with ones at and below the given diagonal and zeros elsewhere, use the numpy.tri() method in Python NumpyThe 1st parameter is the number of rows in the arrayThe 2nd parameter is the number of columns in the arrayThe "type" parameter is used to set the type ... Read More

Create an array with ones at and below the given diagonal and zeros elsewhere in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:45:35

249 Views

To create an array with ones at and below the given diagonal and zeros elsewhere, use the numpy.tri() method in Python Numpy −The 1st parameter is the number of rows in the arrayThe 2nd parameter is the number of columns in the arrayThe tri() function returns an array with its ... Read More

Create a two-dimensional array with the flattened input as lower diagonal in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:41:35

89 Views

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal, a negative k giving the number of the diagonal below the main.The first parameter ... Read More

Create a two-dimensional array with the flattened input as an upper diagonal in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:37:53

133 Views

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.The ... Read More

Create a two-dimensional array with the flattened input as a diagonal in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:33:45

317 Views

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The first parameter is the input data, which is flattened and set as the kth diagonal of the output. The second parameter is the diagonal to set; 0, the default, corresponds ... Read More

Return numbers spaced evenly on a geometric progression but with complex inputs in Numpy

AmitDiwan

AmitDiwan

Updated on 16-Feb-2022 10:28:43

93 Views

To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy −The 1st parameter is the "start" i.e. the start of the sequenceThe 2nd parameter is the "end" i.e. the end of the sequenceThe 3rd parameter is the num i.e. the number of samples to ... Read More

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