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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...\n",arr)
Get the datatype −
print("\nArray datatype...\n",arr.dtype)
Get the dimensions of the Array −
print("\nArray Dimensions...\n",arr.ndim)
Get the shape of the Array −
print("\nOur Array Shape...\n",arr.shape)
Get the number of elements of the Array −
print("\nElements in the Array...\n",arr.size)
To return the numeric string left-filled with zeros, use the numpy.char.zfill() method −
print("\nResult...\n",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...\n",arr) # Get the datatype print("\nArray datatype...\n",arr.dtype) # Get the dimensions of the Array print("\nArray Dimensions...\n",arr.ndim) # Get the shape of the Array print("\nOur Array Shape...\n",arr.shape) # Get the number of elements of the Array print("\nNumber of elements in the Array...\n",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("\nResult...\n",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']
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