Python difflib: highlighting differences inline?

Python difflib: highlighting differences inline?

You can use the difflib library in Python to compare two strings and highlight the differences inline. To achieve this, you can create a custom function that generates the differences and adds HTML or ANSI color codes for highlighting. Here's an example using HTML to highlight differences:

import difflib import html def highlight_diffs(original, modified): d = difflib.Differ() diff = list(d.compare(original.splitlines(), modified.splitlines())) result = [] for line in diff: if line.startswith(' '): # No difference result.append(html.escape(line[2:])) elif line.startswith('- '): # Line present in 'original' but not in 'modified' result.append(f'<span style="background-color: #ff9999;">{html.escape(line[2:])}</span>') elif line.startswith('+ '): # Line present in 'modified' but not in 'original' result.append(f'<span style="background-color: #99ff99;">{html.escape(line[2:])}</span>') return '\n'.join(result) original_text = "This is the original text." modified_text = "This is some modified text." highlighted_diff = highlight_diffs(original_text, modified_text) # Create an HTML file to display the highlighted differences with open("diff.html", "w") as f: f.write(f'<html><body>{highlighted_diff}</body></html>')

In this example, the highlight_diffs function takes two strings (original and modified), compares them using difflib.Differ, and then generates a new HTML string with differences highlighted using inline CSS.

You can customize the HTML styles further or adapt the code to generate ANSI color codes if you prefer console output with terminal colors.

Examples

  1. "How to highlight differences between two strings in Python using difflib?"

    • Description: This query explores how to use the difflib module to find and highlight differences between two strings.
    • Code:
      import difflib text1 = "The quick brown fox jumps over the lazy dog" text2 = "The quick brown cat jumps over the lazy dog" # Use Differ to generate diffs with signs indicating changes differ = difflib.Differ() diff = list(differ.compare(text1.split(), text2.split())) for line in diff: print(line) # Output: - fox + cat

  2. "Using difflib to generate inline differences in Python?"

    • Description: This query looks at generating inline differences between two texts with difflib.
    • Code:
      import difflib text1 = "The quick brown fox jumps over the lazy dog" text2 = "The quick brown cat jumps over the lazy dog" # Use ndiff to generate a more compact diff diff = list(difflib.ndiff(text1.split(), text2.split())) for line in diff: print(line) # Output: - fox + cat

  3. "How to use difflib to compare strings and highlight differences?"

    • Description: This query explores how to compare two strings with difflib and highlight the differences.
    • Code:
      import difflib text1 = "The quick brown fox jumps over the lazy dog" text2 = "The quick brown cat jumps over the lazy dog" differ = difflib.Differ() diff = differ.compare(text1.split(), text2.split()) # Highlight differences with signs: '-' means removed, '+' means added for line in diff: if line.startswith(('-', '+')): print(line)

  4. "How to use difflib to create a unified diff in Python?"

    • Description: This query examines creating a unified diff, which is often used in version control systems to represent changes.
    • Code:
      import difflib text1 = "The quick brown fox jumps over the lazy dog" text2 = "The quick brown cat jumps over the lazy dog" # Generate a unified diff diff = list(difflib.unified_diff(text1.split(), text2.split(), lineterm='')) for line in diff: print(line) # Unified diff format

  5. "How to highlight text changes inline using difflib in Python?"

    • Description: This query discusses how to use difflib to highlight changes inline between two texts.
    • Code:
      import difflib text1 = "The quick brown fox" text2 = "The quick brown cat" # Get the matching blocks between the two texts s = difflib.SequenceMatcher(None, text1, text2) match_blocks = s.get_matching_blocks() result = [] # Highlight differences inline with special markers last_match_end = 0 for block in match_blocks: if block.a > last_match_end: # Add differences with special markers result.append(f"[{text1[last_match_end:block.a]}]") result.append(text1[block.a:block.a + block.size]) last_match_end = block.a + block.size if last_match_end < len(text1): result.append(f"[{text1[last_match_end:]}]") print("".join(result)) # Output: The quick brown [fox] cat

  6. "How to visually highlight differences using difflib in Python?"

    • Description: This query examines ways to visually highlight differences between two strings using difflib.
    • Code:
      import difflib text1 = "The quick brown fox jumps over the lazy dog" text2 = "The quick brown cat jumps over the lazy dog" differ = difflib.Differ() diff = list(differ.compare(text1.split(), text2.split())) # Visualize differences with added and removed symbols highlighted_diff = [] for line in diff: if line.startswith('- '): highlighted_diff.append(f"[-{line[2:]}-]") # Removed content elif line.startswith('+ '): highlighted_diff.append(f"[+{line[2:]}+]") # Added content else: highlighted_diff.append(line[2:]) print(" ".join(highlighted_diff)) # Output: The quick brown [-fox-] [+cat+] jumps over the lazy dog

  7. "Using difflib to find character-level differences in Python?"

    • Description: This query explores how to use difflib to find and highlight character-level differences between strings.
    • Code:
      import difflib text1 = "The quick brown fox" text2 = "The quick brown cat" # Use SequenceMatcher to find character-level differences s = difflib.SequenceMatcher(None, text1, text2) for tag, i1, i2, j1, j2 in s.get_opcodes(): if tag == 'replace': # Highlight the replaced characters print(f"Replaced: {text1[i1:i2]} with {text2[j1:j2]}")

More Tags

countvectorizer asp.net-web-api-routing roi variable-initialization bit statusbar jbutton sharepoint-online reshape swagger-2.0

More Python Questions

More Electrochemistry Calculators

More Animal pregnancy Calculators

More Cat Calculators

More Bio laboratory Calculators