Join Strings¶
Zero-dependency Python snippets for joining strings using the standard library.
6 snippets available in this sub-category.
Simple¶
Join list of strings¶
string
join
list
separator
text
Join list of strings with space separator
Notes
- Uses str.join() method
- Efficient for multiple strings
- Flexible separator choice
- Preferred over + operator
Join with custom separator¶
string
join
delimiter
separator
text
Join strings with custom delimiter
fruits = ["apple", "banana", "orange"]
result = ", ".join(fruits)
print(result) # "apple, banana, orange"
Notes
- Customizable separator
- Common for CSV-like output
- Handles any separator string
- Clean formatting
Join with newlines¶
string
join
newline
lines
text
Join strings with newline separator
lines = ["Line 1", "Line 2", "Line 3"]
result = "\n".join(lines)
print(result)
# Line 1
# Line 2
# Line 3
Notes
- Creates multi-line text
- Common for file output
- Platform-independent
- Preserves line structure
Complex¶
Join with conditional formatting¶
string
join
formatting
conditional
function
text
Join items with custom formatting function
def join_with_formatting(items, separator=" ", format_func=None):
"""Join items with optional formatting."""
if format_func is None:
return separator.join(str(item) for item in items)
formatted_items = [format_func(item) for item in items]
return separator.join(formatted_items)
# Join numbers with formatting
numbers = [1, 2, 3, 4, 5]
result = join_with_formatting(numbers, ", ", lambda x: f"#{x}")
print(result) # "#1, #2, #3, #4, #5"
# Join with conditional formatting
words = ["hello", "WORLD", "python"]
result = join_with_formatting(words, " ", lambda x: x.title())
print(result) # "Hello World Python"
Notes
- Flexible formatting options
- Custom transformation per item
- Maintains separator control
- Useful for data presentation
Join with filtering¶
string
join
filter
conditional
text
Join items with filtering conditions
def join_filtered(items, separator=" ", filter_func=None):
"""Join items with optional filtering."""
if filter_func is None:
return separator.join(str(item) for item in items)
filtered_items = [str(item) for item in items if filter_func(item)]
return separator.join(filtered_items)
# Join only non-empty strings
texts = ["Hello", "", "World", "", "Python"]
result = join_filtered(texts, " ", lambda x: x.strip())
print(result) # "Hello World Python"
# Join only positive numbers
numbers = [1, -2, 3, -4, 5]
result = join_filtered(numbers, ", ", lambda x: x > 0)
print(result) # "1, 3, 5"
Notes
- Filters items before joining
- Removes unwanted elements
- Maintains data integrity
- Clean output generation
Join with grouping¶
string
join
group
formatting
text
Join items in grouped format
def join_grouped(items, group_size, separator=" ", group_separator="\n"):
"""Join items in groups."""
groups = []
for i in range(0, len(items), group_size):
group = items[i : i + group_size]
groups.append(separator.join(str(item) for item in group))
return group_separator.join(groups)
# Join numbers in groups of 3
numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9]
result = join_grouped(numbers, 3, ", ", "\n")
print(result)
# 1, 2, 3
# 4, 5, 6
# 7, 8, 9
Notes
- Organizes items in groups
- Customizable group size
- Separate group separators
- Useful for display formatting
🔗 Cross-References¶
- Reference: See 📂 Split String
- Reference: See 📂 Format String
🏷️ Tags¶
string
, join
, list
, separator
, delimiter
, newline
, formatting
, filter
, conditional
, text
📝 Notes¶
- Use str.join() for efficient string concatenation
- Custom separators allow for flexible output (CSV, newlines, etc.)
- Filtering and formatting can be combined with joining
- Related: splitting and formatting strings