Return the numeric string left-filled with zeros in Numpy

To return the numeric string left-filled with zeros, use the numpy.char.zfill() method in Python Numpy. Here,

• The 1st parameter is the inout array

• The 2nd parameter is the "width" i.e. the width of string to left-fill elements in array

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(['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)

To return the numeric string left-filled with zeros, use the numpy.char.zfill() method −

print("
Result...
",np.char.zfill(arr, width = 15))

Example

import numpy as np

# Create a One-Dimensional array of string
arr = np.array(['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("
Number of elements in the Array...
",arr.size)

# To return the numeric string left-filled with zeros, use the numpy.char.zfill() method in Python Numpy
# The 1st parameter is the inout array
# The 2nd parameter is the "width" i.e the width of string to leftfill elements in array
print("
Result...
",np.char.zfill(arr, width = 15))

Output

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

Array datatype...
<U4

Array Dimensions...
1

Our Array Shape...
(5,)

Number of elements in the Array...
5

Result...
['000000000000Tom' '00000000000John' '00000000000Kate' '000000000000Amy'
'00000000000Brad']