AmitDiwan has Published 11360 Articles

Shift the bits of an integer to the left in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:32:02

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To shift the bits of an integer to the left, use the numpy.left_shift() method in Python Numpy. Bits are shifted to the left by appending x2 0s at the right of x1. Since the internal representation of numbers is in binary format, this operation is equivalent to multiplying x1 by ... Read More

Build a block matrix in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:29:19

3K+ Views

To build a block of matrix, use the numpy.block() method in Python Numpy. Blocks in the innermost lists are concatenated along the last dimension (-1), then these are concatenated along the secondlast dimension (-2), and so on until the outermost list is reached.Blocks can be of any dimension, but will ... Read More

Pack the elements of a binary-valued Numpy array into bits in a uint8 array

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:28:51

507 Views

To pack the elements of a binary-valued array into bits in a uint8 array, use the numpy.packbits() method in Python Numpy. The result is padded to full bytes by inserting zero bits at the end.The axis is the dimension over which bit-packing is done. None implies packing the flattened array. ... Read More

Compare and return True if an array is less than another array in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:24:44

385 Views

To compare and return True if an array is less than another array, use the numpy.char.less() method in Python Numpy. The arr1 and arr2 are the two input string arrays of the same shape.Unlike numpy.greater, this comparison is performed by first stripping whitespace characters from the end of the string. ... Read More

Join a sequence of arrays with stack() over negative axis in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:23:40

142 Views

To join a sequence of arrays, use the numpy.stack() method in Python Numpy. The axis parameter specifies the index of the new axis in the dimensions of the result. If axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.The function returns the stacked ... Read More

Return a list of the lines in the element, breaking at line boundaries in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:22:18

64 Views

To return a list of the lines in the element, breaking at line boundaries, use the numpy.char.splitlines() method in Python Numpy. The 1st parameter is the input array.The keepends parameter suggests that the Line breaks are not included in the resulting list unless keepends is given and true. The function ... Read More

Create a record array from a (flat) list of array and set a valid datatype for all in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:20:04

130 Views

To create a record array from a (flat) list of array, use the numpy.core.records.fromarrays() method in Python Numpy. The datatype is set using the "dtype" parameter.It returns the record array consisting of given arrayList columns. The first parameter is a List of arraylike objects (such as lists, tuples, and ndarrays). ... Read More

Use an index array to construct a new array from a set of choices in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:19:27

1K+ Views

A new array from the set of choices is constructed using the numpy.ma.choose() method in Python Numpy. Given an array of integers and a list of n choice arrays, this method will create a new array that merges each of the choice arrays. Where a value in index is i, ... Read More

AND every element of a masked array by a given scalar value using __iand__() in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:14:48

84 Views

To AND every element of a masked array by a given scalar value, use the ma.MaskedArray.__iand__() method in Python Numpy. Returns self&=value. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, ... Read More

Expand the shape of an array over specific axis in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:12:30

151 Views

To expand the shape of an array, use the numpy.expand_dims() method. Insert a new axis that will appear at the axis position in the expanded array shape. The function returns the View of the input array with the number of dimensions increased.NumPy offers comprehensive mathematical functions, random number generators, linear ... Read More

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