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What Are the Major NumPy String Methods in Python
Share
Condition for Major NumPy String Methods in Python
Description:
NumPy provides a module called
numpy.char
that contains various string operations.
These methods allow you to manipulate strings in bulk (vectorized operations) for arrays, making string processing faster and easier.
Operations like string concatenation, splitting, case conversion, and trimming can be efficiently performed on arrays of strings.
Step-by-Step Process
Import NumPy:
Start by importing the NumPy library.
Create a String Array:
Use
numpy.array()
to create an array of strings.
Apply String Operations:
Utilize methods from the
numpy.char
module for desired operations.
Explore Common Methods:
Explore operations like case conversion, trimming, joining, splitting, and more.
Display the Results:
Use
print()
to see the output of each operation.
Sample Source Code
# Code for Major NumPy String Methods
import numpy as np
# Create a NumPy array of strings
string_array = np.array([" Hello", "world! ", "Python", " NumPy ", "programming"])
# Apply common string methods
# Case conversion
lowercase = np.char.lower(string_array)
uppercase = np.char.upper(string_array)
titlecase = np.char.title(string_array)
# Trimming whitespace
stripped = np.char.strip(string_array)
# Finding and replacing
contains_py = np.char.find(string_array, 'Py')
replaced = np.char.replace(string_array, 'NumPy', 'Data Science')
# Joining and splitting
joined = np.char.join('-', string_array)
split_example = np.char.split(string_array[2])
print("Original Array:", string_array)
print("\nLowercase:", lowercase)
print("\nUppercase:", uppercase)
print("\nTitle Case:", titlecase)
print("\nStripped Whitespace:", stripped)
print("\nContains 'Py':", contains_py)
print("\nReplaced 'NumPy' with 'Data Science':", replaced)
print("\nJoined with '-':", joined)
print("\nSplit Example (for 'Python'):", split_example)
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