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I have a flat list where each item is the key and value for an attribute. I want to transform this into a nested list where each attribute is a sublist. Example input: [ "attr1 apple 1", "a...
#4: Post edited
Facing trouble in creating sublists of a list
- How to group a flat list of attributes into a nested lists?
My task is to create combinations, more like a Cartesian product for some attribute lines of a library file. I am currently facing the problem of grouping the same attributes(of course the adjacent parameters are different) as sublists of a list. Remember my input may contain a thousand lines of attributes , which I need to extract from a library file.######################- Example input:
- ```
attr1 apple 1attr1 banana 2attr2 grapes 1attr2 oranges 2attr3 watermelon 0- ```
######################Example output:```[['attr1 apple 1','attr1 banana 2'], ['attr2 grapes 1','attr2 oranges 2'], ['attr3 watermelon 0']]```The result I am getting:```['attr1 apple 1','attr1 banana 2', 'attr2 grapes 1','attr2 oranges 2', 'attr3 watermelon 0']```Below is my code:- ```
- import re
- # regex pattern definition
- pattern = re.compile(r'attr\d+')
- # Open the file for reading
- with open(r"file path") as file:
- # Initialize an empty list to store matching lines
- matching_lines = []
- # reading each line
- for line in file:
- # regex pattern match
- if pattern.search(line):
- # matching line append to the list
- matching_lines.append(line.strip())
- # Grouping the elements based on the regex pattern
- #The required list
- grouped_elements = []
- #Temporary list for sublist grouping
- current_group = []
- for sentence in matching_lines:
- if pattern.search(sentence):
- current_group.append(sentence)
- else:
- if current_group:
- grouped_elements.append(current_group)
- current_group = [sentence]
- if current_group:
- grouped_elements.append(current_group)
- # Print the grouped elements
- for group in grouped_elements:
- print(group)
```
- I have a flat list where each item is the key and value for an attribute. I want to transform this into a nested list where each attribute is a sublist.
- Example input:
- ```
- [
- "attr1 apple 1",
- "attr1 banana 2",
- "attr2 grapes 1",
- "attr2 oranges 2",
- "attr3 watermelon 0"
- ]
- ```
- The output should be:
- ```
- [
- [
- "attr1 apple 1",
- "attr1 banana 2",
- ],
- [
- "attr2 grapes 1",
- "attr2 oranges 2",
- ],
- [
- "attr3 watermelon 0"
- ]
- ]
- ```
- ---------------------
- I tried this program, but the result is incorrect.
- ```
- import re
- # regex pattern definition
- pattern = re.compile(r'attr\d+')
- # Open the file for reading
- with open(r"file path") as file:
- # Initialize an empty list to store matching lines
- matching_lines = []
- # reading each line
- for line in file:
- # regex pattern match
- if pattern.search(line):
- # matching line append to the list
- matching_lines.append(line.strip())
- # Grouping the elements based on the regex pattern
- #The required list
- grouped_elements = []
- #Temporary list for sublist grouping
- current_group = []
- for sentence in matching_lines:
- if pattern.search(sentence):
- current_group.append(sentence)
- else:
- if current_group:
- grouped_elements.append(current_group)
- current_group = [sentence]
- if current_group:
- grouped_elements.append(current_group)
- # Print the grouped elements
- for group in grouped_elements:
- print(group)
- ```
- I am getting this output:
- ```
- [
- 'attr1 apple 1',
- 'attr1 banana 2',
- 'attr2 grapes 1',
- 'attr2 oranges 2',
- 'attr3 watermelon 0'
- ]
- ```
#2: Post edited
- My task is to create combinations, more like a Cartesian product for some attribute lines of a library file. I am currently facing the problem of grouping the same attributes(of course the adjacent parameters are different) as sublists of a list. Remember my input may contain a thousand lines of attributes , which I need to extract from a library file.
- ######################
- Example input:
- attr1 apple 1
- attr1 banana 2
- attr2 grapes 1
- attr2 oranges 2
- attr3 watermelon 0
- ######################
- Example output:
- [['attr1 apple 1','attr1 banana 2'], ['attr2 grapes 1','attr2 oranges 2'], ['attr3 watermelon 0']]
- The result I am getting:
- ['attr1 apple 1','attr1 banana 2', 'attr2 grapes 1','attr2 oranges 2', 'attr3 watermelon 0']
- ```
- import re
- # regex pattern definition
- pattern = re.compile(r'attr\d+')
- # Open the file for reading
- with open(r"file path") as file:
- # Initialize an empty list to store matching lines
- matching_lines = []
- # reading each line
- for line in file:
- # regex pattern match
- if pattern.search(line):
- # matching line append to the list
- matching_lines.append(line.strip())
- # Grouping the elements based on the regex pattern
- #The required list
- grouped_elements = []
- #Temporary list for sublist grouping
- current_group = []
- for sentence in matching_lines:
- if pattern.search(sentence):
- current_group.append(sentence)
- else:
- if current_group:
- grouped_elements.append(current_group)
- current_group = [sentence]
- if current_group:
- grouped_elements.append(current_group)
- # Print the grouped elements
- for group in grouped_elements:
- print(group)
- ```
- My task is to create combinations, more like a Cartesian product for some attribute lines of a library file. I am currently facing the problem of grouping the same attributes(of course the adjacent parameters are different) as sublists of a list. Remember my input may contain a thousand lines of attributes , which I need to extract from a library file.
- ######################
- Example input:
- ```
- attr1 apple 1
- attr1 banana 2
- attr2 grapes 1
- attr2 oranges 2
- attr3 watermelon 0
- ```
- ######################
- Example output:
- ```
- [['attr1 apple 1','attr1 banana 2'], ['attr2 grapes 1','attr2 oranges 2'], ['attr3 watermelon 0']]
- ```
- The result I am getting:
- ```
- ['attr1 apple 1','attr1 banana 2', 'attr2 grapes 1','attr2 oranges 2', 'attr3 watermelon 0']
- ```
- Below is my code:
- ```
- import re
- # regex pattern definition
- pattern = re.compile(r'attr\d+')
- # Open the file for reading
- with open(r"file path") as file:
- # Initialize an empty list to store matching lines
- matching_lines = []
- # reading each line
- for line in file:
- # regex pattern match
- if pattern.search(line):
- # matching line append to the list
- matching_lines.append(line.strip())
- # Grouping the elements based on the regex pattern
- #The required list
- grouped_elements = []
- #Temporary list for sublist grouping
- current_group = []
- for sentence in matching_lines:
- if pattern.search(sentence):
- current_group.append(sentence)
- else:
- if current_group:
- grouped_elements.append(current_group)
- current_group = [sentence]
- if current_group:
- grouped_elements.append(current_group)
- # Print the grouped elements
- for group in grouped_elements:
- print(group)
- ```
#1: Initial revision
Facing trouble in creating sublists of a list
My task is to create combinations, more like a Cartesian product for some attribute lines of a library file. I am currently facing the problem of grouping the same attributes(of course the adjacent parameters are different) as sublists of a list. Remember my input may contain a thousand lines of attributes , which I need to extract from a library file. ###################### Example input: attr1 apple 1 attr1 banana 2 attr2 grapes 1 attr2 oranges 2 attr3 watermelon 0 ###################### Example output: [['attr1 apple 1','attr1 banana 2'], ['attr2 grapes 1','attr2 oranges 2'], ['attr3 watermelon 0']] The result I am getting: ['attr1 apple 1','attr1 banana 2', 'attr2 grapes 1','attr2 oranges 2', 'attr3 watermelon 0'] ``` import re # regex pattern definition pattern = re.compile(r'attr\d+') # Open the file for reading with open(r"file path") as file: # Initialize an empty list to store matching lines matching_lines = [] # reading each line for line in file: # regex pattern match if pattern.search(line): # matching line append to the list matching_lines.append(line.strip()) # Grouping the elements based on the regex pattern #The required list grouped_elements = [] #Temporary list for sublist grouping current_group = [] for sentence in matching_lines: if pattern.search(sentence): current_group.append(sentence) else: if current_group: grouped_elements.append(current_group) current_group = [sentence] if current_group: grouped_elements.append(current_group) # Print the grouped elements for group in grouped_elements: print(group) ```