Python implements vertical sorting of two sets of data

1. Introduction

Sorting is a very common operation during data analysis and processing. The sorting operation allows us to understand the data more clearly, so that we can perform further analysis and processing. In Python, sorting operations can usually be implemented through built-in functions or third-party libraries. This article will explain in detail how to use Python to implement vertical sorting of two sets of data, and provide complete development ideas and code examples.

2. Development ideas

• Understand the requirements:
  • Two sets of data need to be sorted vertically.
  • Suppose these two sets of data are stored in two lists respectively.
  • The sorted results need to maintain the correspondence between the two sets of data.
• Determine the sorting basis:
  • Select the first set of data as the basis for sorting.
  • The second set of data can also be selected as the ordering basis, depending on actual requirements.
• Implementation method:
  • Using Python's built-in functionszipMerge the two lists into a tuple list.
  • usesortedFunctions sort tuple lists.
  • usezipThe function splits the sorted tuple list into two sorted lists.
• Consider boundary situations:
  • If the two list lengths are inconsistent, this situation needs to be handled.
  • The integrity and correctness of the data need to be ensured during the sorting process.

3. Development process

Enter data:

Receive two lists as input data.

Data merge:

usezipThe function combines two lists into a tuple list.

Data sorting:

usesortedThe function sorts the list of tuples by the first element of the tuple.

Data splitting:

usezipand*The operator splits the sorted tuple list into two sorted lists.

Output result:

Print or return two lists after sorting.

4. Code Example 1

Here are the complete code examples, including input data, data merging, data sorting, data splitting, and output results.

def vertical_sort(list1, list2):
    """
    Sorting two sets of data vertically
 
    parameter:
    list1 (list): The first set of data
    list2 (list): The second set of data
 
    return:
    tuple: Two lists after sorting (sorted_list1, sorted_list2)
    """
    # 1. Check whether the two list lengths are consistent    if len(list1) != len(list2):
        raise ValueError("The lengths of the two lists must be the same")
    
    # 2. Merge two lists into a tuple list    combined_list = list(zip(list1, list2))
    
    # 3. Sort the tuple list by the first element of the tuple    sorted_combined_list = sorted(combined_list, key=lambda x: x[0])
    
    # 4. Split the sorted tuple list into two sorted lists    sorted_list1, sorted_list2 = zip(*sorted_combined_list)
    
    # 5. Convert tuples back to list    sorted_list1 = list(sorted_list1)
    sorted_list2 = list(sorted_list2)
    
    return sorted_list1, sorted_list2
 
# Sample datalist1 = [5, 2, 9, 1, 5, 6]
list2 = ['e', 'b', 'f', 'a', 'c', 'd']
 
# Call functions to sortsorted_list1, sorted_list2 = vertical_sort(list1, list2)
 
# Output sorting resultsprint("Sorted first list:", sorted_list1)
print("Sorted second list:", sorted_list2)

5. Explain the details

Enter data:

In the examplelist1andlist2Denote two lists that need to be sorted.

Data merge:

combined_list = list(zip(list1, list2))Merge two lists into a tuple list, e.g.[(5, 'e'), (2, 'b'), ...]。

Data sorting:

sorted_combined_list = sorted(combined_list, key=lambda x: x[0])usesortedFunction sorts the list of tuples,key=lambda x: x[0]Represents sorting by the first element of the tuple.

Data splitting:

sorted_list1, sorted_list2 = zip(*sorted_combined_list)usezipand*The operator splits the sorted tuple list into two sorted lists.

sorted_list1 = list(sorted_list1)andsorted_list2 = list(sorted_list2)Convert tuples back to list.

Output result:

Print the two sorted lists.

6. Code Example 2

Shows how to use Python to sort two sets of data vertically. This example includes the complete process of inputting data, merging data, sorting data, splitting data, and outputting results.

def vertical_sort(list1, list2):
    """
    Sorting two sets of data vertically，That is, the second set of data is sorted accordingly according to the order of the first set of data。
 
    parameter:
    list1 (list): First list，As a benchmark for sorting。
    list2 (list): The second list，Its elements will be withlist1The elements in it are sorted one by one。
 
    return:
    tuple: Tuples containing two sorted lists (sorted_list1, sorted_list2)。
    """
    # Check whether the lengths of the two lists are equal    if len(list1) != len(list2):
        raise ValueError("The lengths of two lists must be equal for vertical sorting")
    
    # Use the zip function to merge two lists into a list of tuples    # Each tuple contains the corresponding elements from list1 and list2    combined_list = list(zip(list1, list2))
    
    # Use the sorted function to sort the merged list    # Sort by the first element of the tuple, that is, the element in list1    sorted_combined_list = sorted(combined_list, key=lambda x: x[0])
    
    # Use the * operator of the zip function to split the sorted tuple list into two independent lists    # The first list contains the sorted list1 element, and the second list contains the sorted list2 element    sorted_list1, sorted_list2 = zip(*sorted_combined_list)
    
    # Convert tuples back to list (because zip returns an iterator, which needs to be converted to a list before it can be used)    sorted_list1 = list(sorted_list1)
    sorted_list2 = list(sorted_list2)
    
    return sorted_list1, sorted_list2
 
# Sample datalist1 = [4, 2, 9, 1, 5, 6]
list2 = ['d', 'b', 'f', 'a', 'c', 'e']
 
# Call vertical_sort function to sortsorted_list1, sorted_list2 = vertical_sort(list1, list2)
 
# Output sorting resultsprint("排序后的First list (list1):", sorted_list1)
print("排序后的The second list (list2):", sorted_list2)

7. Code explanation 2

Function definition:

vertical_sortThe function takes two lists as parameters and returns a tuple containing two sorted lists.

Length check:

useifThe statement checks whether the lengths of the two lists are equal. If not equal, throwValueErrorException.

Data merge:

• usezipThe function combines two lists into a list composed of tuples. Each tuple contains fromlist1andlist2The corresponding element of  .
• uselistThe function willzipThe generated iterator is converted into a list for subsequent processing.

Data sorting:

• usesortedFunction sorts the merged list. The order is the first element of the tuple, that is,list1elements in  .
• key=lambda x: x[0]Specifies the basis for sorting.

Data splitting:

• usezipFunctional*The operator splits the sorted tuple list into two independent lists.
• The first list contains the sortedlist1Element, the second list contains the sortedlist2Elements.

Type conversion:

uselistThe function converts the split tuple back to the list.

Return result:

The function returns a tuple containing two sorted lists.

Sample data and function calls:

• Define two example listslist1andlist2。
• Callvertical_sortThe function sorts these two lists.

Output result:

Print the two sorted lists.

This code example shows how to use Python's built-in functionszipandsortedTo realize vertical sorting of two sets of data, and handles the situation where the lengths of the two lists are inconsistent. The code is clear and easy to understand and expand.

8. Boundary situation handling

Inconsistent length:

If the lengths of the two lists are inconsistent, the code will throwValueErrorException prompts the user that the length of the two lists must be the same.

Empty list:

If both lists are empty, the code can handle them normally and return two empty lists.

Single element list:

If both lists contain only one element, the code can handle it normally and return the sorted two single-element lists (although sorting does not make sense in this case).

9. Practical application

Data Analysis:

During the data analysis process, multiple relevant data sets are often required to be sorted for further analysis and visualization.

Data processing:

In the data preprocessing phase, sorting operations can help us better understand and process data.

Scientific research:

In scientific research, sorting operations can help us discover patterns and trends in the data.

10. Conclusion

This article details how to use Python to implement vertical sorting of two sets of data, including development ideas, development processes and code examples. Through the study of this article, readers can master how to use Python's built-in functions and third-party libraries to sort operations, and be able to handle various boundary situations. The code examples provided in this article have practical application value and can be used in fields such as data analysis, data processing and scientific research.

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