To return the ceil of a specific element, use the index value in the numpy.ceil() method in Python Numpy. The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as $\mathrm{\lceil X \rceil}$. The function returns the ceil of each ... Read More

To return the ceil of the input, use the numpy.ceil() method in Python Numpy. The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as $\mathrm{\lceil X \rceil}$. The function returns the ceil of each element in x, with float ... Read More

To return the ceil of the array elements, element-wise, use the numpy.ceil() method in Python Numpy. The ceil of the scalar x is the smallest integer i, such that i >= x. It is often denoted as $\mathrm{\lceil X \rceil}$. The function returns the ceil of each element in x, ... Read More

To return the floor of the array elements, element-wise, use the numpy.floor() method in Python Numpy. The new location where we will store the result is a new array.The floor of the scalar x is the largest integer i, such that i

To return evenly spaced numbers over a specified interval, use the numpy.linspace() method in Python Numpy. The 1st parameter is the "start" i.e. the start of the sequence. The 2nd parameter is the "end" i.e. the end of the sequence. The 3rd parameter is the num i.e. the number of samples ... Read More

To return mantissa and exponent as a pair of a given array, use 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 ... Read More

To return mantissa and exponent as a pair of a given array, use 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 ... Read More

To test array values for NaN, use the numpy.isnan() method in Python Numpy. The new location where we will store the result is a new array. Returns True where x is NaN, false otherwise. This is a scalar if x is a scalar. The condition is broadcast over the input. ... Read More

To test array for NaN, use the numpy.isnan() method in Python Numpy. Returns True where x is NaN, false otherwise. This is a scalar if x is a scalar. The condition is broadcast over the input. At locations where the condition is True, the out array will be set to ... Read More

To return mantissa and exponent as a pair of a given value, use 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 ... Read More