AmitDiwan has Published 11360 Articles

Return element-wise string multiple concatenation in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:51:55

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To return element-wise string multiple concatenation, use the numpy.char.multiply() method in Python Numpy. The function multiply() returns the output array of string_ or unicode_, depending on input types.The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.StepsAt first, import the required library −import ... Read More

Return element-wise string concatenation for two arrays of string in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:49:01

296 Views

To return element-wise string concatenation for two arrays of string, use the numpy.char.add() method in Python Numpy.The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.The function add() returns the output array of string_ or unicode_, depending on input types of the same ... Read More

Unpack elements and set the unpack count larger than the available number of bits in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:46:42

73 Views

To unpack elements of a uint8 array into a binary-valued output array, use the numpy.unpackbits() method in Python Numpy. The result is binary-valued (0 or 1). The axis is the dimension over which bit-unpacking is done. The axis is set using the "axis" parameter. To set the number of elements ... Read More

Unpack elements of a uint8 array and trim off that many bits from the end in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:44:30

133 Views

To unpack elements of a uint8 array into a binary-valued output array, use the numpy.unpackbits() method in Python Numpy. The result is binary-valued (0 or 1). The axis is the dimension over which bit-unpacking is done. The axis is set using the "axis" parameter. To set the number of elements ... Read More

Expand the shape of an array over axis 0 in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:44:01

203 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. We will set axis 0 here. The function returns the View of the input array with the number of dimensions increased.NumPy offers comprehensive ... Read More

Shift the bits of integer array elements to the right in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:42:38

1K+ Views

To shift the bits of integer array elements to the right, use the numpy.right_shift() method in Python Numpy. Bits are shifted to the right x2. Because the internal representation of numbers is in binary format, this operation is equivalent to dividing x1 by 2**x2.The x1 is the Input values. The ... Read More

Shift the bits of array elements of a Two-Dimensional array to the left in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:40:37

2K+ Views

To shift the bits of array elements of a 2D array 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 ... Read More

Create a record array from a (flat) list of array and fetch arrays using names in Numpy

AmitDiwan

AmitDiwan

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

111 Views

To create a record array from a (flat) list of array, use the numpy.core.records.fromarrays() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings in ... Read More

Unpack elements of a uint8 array and only unpack some bits in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:37:13

810 Views

To unpack elements of a uint8 array into a binary-valued output array, use the numpy.unpackbits() method in Python Numpy. The result is binary-valued (0 or 1). The axis is the dimension over which bit-unpacking is done. The axis is set using the "axis" parameter. To set the number of elements ... Read More

Create a record array from a (flat) list of array and fetch specific values based on index in Numpy

AmitDiwan

AmitDiwan

Updated on 17-Feb-2022 10:34:19

106 Views

To create a record array from a (flat) list of array, use the numpy.core.records.fromarrays() method in Python Numpy. The names is set using the "names" parameter. The field names, either specified as a comma-separated string in the form 'col1, col2, col3', or as a list or tuple of strings in ... Read More

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