Construct a record array from a wide-variety of objects in Numpy

NumpyServer Side ProgrammingProgramming

To display the numpy record array, use the numpy.core.records.array() method in Python Numpy. The 1st parameter is the obj i.e. the input. If obj is None, then call the recarray constructor. If obj is a string, then call the fromstring constructor. If obj is a list or a tuple, then if the first object is an ndarray, call fromarrays, otherwise call fromrecords. If obj is a recarray, then make a copy of the data in the recarray (if copy=True) and use the new formats, names, and titles. If obj is a file, then call fromfile. Finally, if obj is an ndarray, then return obj.view(recarray), making a copy of the data if copy=True.

Steps

At first, import the required library −

import numpy as np

Create a new array using the numpy.array() method −

arr = np.array([[5, 10, 15], [20, 25, 30], [35, 40, 45], [50, 55, 60]])

Display the array −

print("Array...\n",arr)

Get the type of the array −

print("\nArray type...\n", arr.dtype)

Get the dimensions of the Array: −

print("\nArray Dimensions...\n", arr.ndim)

To display the numpy record array, use the numpy.core.records.array() method in Python Numpy −

print("\nRecord Array...\n",np.core.records.array(arr))

Example

import numpy as np

# Create a new array using the numpy.array() method
arr = np.array([[5, 10, 15], [20, 25, 30], [35, 40, 45], [50, 55, 60]])

# Display the array
print("Array...\n",arr)

# Get the type of the array
print("\nArray type...\n", arr.dtype)

# Get the dimensions of the Array
print("\nArray Dimensions...\n", arr.ndim)

# To display the numpy record array, use the numpy.core.records.array() method in Python Numpy
print("\nRecord Array...\n",np.core.records.array(arr))

Output

Array...
[[ 5 10 15]
[20 25 30]
[35 40 45]
[50 55 60]]

Array type...
int64

Array Dimensions...
2

Record Array...
[[ 5 10 15]
[20 25 30]
[35 40 45]
[50 55 60]]
raja
Updated on 10-Feb-2022 09:47:26

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