Python: load words from file into a set

Python: load words from file into a set

To load words from a file into a set in Python, you can follow these steps:

  1. Open the file for reading.
  2. Read the content of the file line by line.
  3. Split each line into words.
  4. Add the words to a set.

Here's a Python code example to demonstrate this process:

# Define a set to store the words word_set = set() # Specify the file path file_path = "words.txt" # Replace with the path to your file # Open the file for reading try: with open(file_path, "r") as file: # Iterate through each line in the file for line in file: # Split the line into words (assuming space-separated words) words = line.strip().split() # Add the words to the set word_set.update(words) except FileNotFoundError: print(f"File '{file_path}' not found.") # Now 'word_set' contains unique words from the file print(word_set)

In this code:

  • We define a set called word_set to store the unique words from the file.

  • Specify the path to the file you want to read (file_path). Replace "words.txt" with the path to your file.

  • We open the file using a with statement to ensure that the file is properly closed when we're done.

  • We iterate through each line in the file using a for loop.

  • We assume that words in the file are space-separated, but you can adjust the splitting logic based on your file format.

  • We strip leading and trailing whitespace from each line and then split it into words using split().

  • We use the update() method to add the words to the word_set. This ensures that duplicate words are not added.

After running this code, the word_set will contain all the unique words from the file.

Examples

  1. How to Load Words from a Text File into a Set in Python Description: Demonstrates how to read a file and load unique words into a set.

    words_set = set() with open("words.txt", "r") as file: for line in file: words = line.split() # Split line into words words_set.update(words) # Add words to the set print("Unique words:", words_set)

  2. Loading Words from File into Set with Line-by-Line Approach Description: Describes how to read a text file line by line, adding words to a set.

    words_set = set() with open("data.txt", "r") as file: for line in file: words = line.strip().split() # Remove leading/trailing spaces and split for word in words: words_set.add(word) # Add each word to the set print("Set of words:", words_set)

  3. Removing Duplicates by Loading Words into a Set from a File Description: Shows how using a set automatically removes duplicate words when reading from a file.

    words_set = set() with open("input.txt", "r") as file: for line in file: words = line.split() words_set.update(words) # No duplicates due to set property print("Words without duplicates:", words_set)

  4. Using List Comprehension to Load Words into a Set Description: Demonstrates using list comprehension to read all words from a file and convert them to a set.

    with open("words.txt", "r") as file: words_set = {word for line in file for word in line.split()} print("Set from file:", words_set)

  5. Filtering Words from File into a Set Description: Shows how to load words into a set while applying a filter (e.g., words of a specific length).

    with open("words.txt", "r") as file: words_set = {word for line in file for word in line.split() if len(word) > 3} print("Filtered words set:", words_set)

  6. Reading a File and Normalizing Words before Adding to Set Description: Describes normalizing (like converting to lowercase) words before adding them to a set.

    words_set = set() with open("words.txt", "r") as file: for line in file: words = [word.lower() for word in line.split()] # Convert to lowercase words_set.update(words) print("Normalized words set:", words_set)

  7. Loading Words from CSV File into a Set Description: Shows how to read words from a CSV file and add them to a set.

    import csv words_set = set() with open("words.csv", "r") as file: csv_reader = csv.reader(file) for row in csv_reader: words_set.update(row) # Each row is a list of words print("Words set from CSV:", words_set)

  8. Reading Specific Columns from a CSV File into a Set Description: Demonstrates reading specific columns from a CSV file and adding them to a set.

    import csv words_set = set() with open("data.csv", "r") as file: csv_reader = csv.reader(file) for row in csv_reader: # Assuming we want the first column words_set.add(row[0]) print("Set from CSV's first column:", words_set)

  9. Handling Large Files to Load Words into a Set Description: Discusses efficient methods for reading large files and loading words into a set.

    words_set = set() # Read file in chunks to avoid memory issues with large files with open("large_file.txt", "r") as file: while chunk := file.read(1024): # Read 1KB at a time words = chunk.split() words_set.update(words) print("Set from large file:", words_set)

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