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Remove Leading Spaces from Each Element in a Numpy Array
To return a copy of an array with the leading spaces removed, use the numpy.char.lstrip() method in Python Numpy. The function returns an output array of str or unicode, depending on input type.
The numpy.char module provides a set of vectorized string operations for arrays of type numpy.str_ or numpy.bytes_.
The chars parameter is a string specifying the set of characters to be removed. If omitted or None, the chars argument defaults to removing whitespace. The chars argument is not a prefix; rather, all combinations of its values are stripped.
Steps
At first, import the required library −
import numpy as np
Create a One-Dimensional array of string with some leading and trailing spaces −
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 a copy of an array with the leading spaces removed, use the numpy.char.lstrip() method −
print("
Result...
",np.char.lstrip(arr))
Example
import numpy as np # Create a One-Dimensional array of string with some leading and trailing spaces 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 a copy of an array with the leading spaces removed, use the numpy.char.lstrip() method in Python Numpy print("
Result...
",np.char.lstrip(arr))
Output
Array... [' Tom ' ' John ' ' Kate ' ' Amy' 'Brad '] Array datatype... <U6 Array Dimensions... 1 Our Array Shape... (5,) Number of elements in the Array... 5 Result... ['Tom ' 'John ' 'Kate ' 'Amy' 'Brad ']