Decode String Array Values in NumPy

To decode string array values that is already encoded, use the numpy.char.decode() method in Python Numpy. The "encoding" parameter sets the name of the encode used while encoding. The set of available codecs comes from the Python standard library, and may be extended at runtime. The type of the result will depend on the encoding specified.

The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.

Steps

At first, import the required library −

import numpy as np

Create a One-Dimensional array of string −

arr = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad'])

Displaying our array −

print("Array...
",arr)

Get the datatype −

print("
Array datatype...
",arr.dtype)

Get the dimensions of the Array −

print("
Array Dimensions...
",arr.ndim)

Get the shape of the Array −

print("
Our Array Shape...
",arr.shape)

Get the number of elements of the Array −

print("
Elements in the Array...
",arr.size)

Encode string array values. The arr is the input array to be encoded −

e = np.char.encode(arr, encoding='cp037')
print("
Encoded...
",e)

To decode string array values that is already encoded, use the numpy.char.decode() method in Python Numpy. The "encoding" parameter sets the name of the encode used while encoding −

print("
Result (decode)...
",np.char.decode(e, encoding='cp037'))

Example

import numpy as np

# Create a One-Dimensional array of string
arr = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad'])

# Displaying our array
print("Array...
",arr)

# Get the datatype
print("
Array datatype...
",arr.dtype)

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

# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)

# Get the number of elements of the Array
print("
Elements in the Array...
",arr.size)

# Encode string array values
# The arr is the input array to be encoded
e = np.char.encode(arr, encoding='cp037')
print("
Encoded...
",e)

# To decode string array values that is already encoded, use the numpy.char.decode() method in Python Numpy
# The "encoding" parameter sets the name of the encode used while encoding
print("
Result (decode)...
",np.char.decode(e, encoding='cp037'))

Output

Array...
['Bella' 'Tom' 'John' 'Kate' 'Amy' 'Brad']

Array datatype...
<U5

Array Dimensions...
1

Our Array Shape...
(6,)

Elements in the Array...
6

Encoded...
[b'\xc2\x85\x93\x93\x81' b'\xe3\x96\x94' b'\xd1\x96\x88\x95'
b'\xd2\x81\xa3\x85' b'\xc1\x94\xa8' b'\xc2\x99\x81\x84']

Result (decode)...
['Bella' 'Tom' 'John' 'Kate' 'Amy' 'Brad']