Pandas sort by two columns. 1️⃣ SQL Concept — ORDER BY Used to sort query results. DataFr...
Pandas sort by two columns. 1️⃣ SQL Concept — ORDER BY Used to sort query results. DataFrame( Jul 23, 2025 · In this article, we are going to discuss how to sort a CSV file by multiple columns. I need to sort the employee_count column in descending order. Get the sorted values of the median. 3 stars | by vamseeachanta Master Pandas groupby() for data aggregation and merge() for joining DataFrames. Creating Pandas Dataframe Create a DataFrame object from the Python list of tuples with columns and indices, say column names are: 'Name', 'Age', 'Place', and This video will show you how to: 1) load Pandas library 2) load the data from a CSV file properly 3) list all the column names properly 4) cleanse the data by removing the last 2 columns of . 按两列或多列对Pandas数据框架进行排序 在这篇文章中，我们的基本任务是根据两列或多列对数据框进行排序。 为此，我们使用了Dataframe. before Jul 23, 2025 · We can sort a Pandas DataFrame based on Index and column using sort_index method. With a few simple tweaks to the common single-column sort, we can perform sorts across multiple columns and gain new perspective on correlations in the data. Here is the simplified example df = pd. Whether it’s a straightforward sort by one or two columns, or more complex operations involving custom orders and the key parameter, Pandas offers flexible ways to order your data. axis{0 or ‘index’, 1 or ‘columns’}, default 0 The axis along which to sort. DataFrames consist of rows, columns, and data. You'll learn how to sort by one or more columns and by index in ascending or descending order. Dec 21, 2024 · Learn pandas sort values techniques. Initialize a variable col to sort the column. But if there is a tie between 2 employee_counts then they should be Dec 27, 2023 · That‘s where pandas‘ DataFrame. In this comprehensive guide, we‘ll walk through the ins and outs of multi-column sorting including performance implications, dealing with NaN values, configuring sort direction Jan 11, 2022 · 2 This question already has answers here: How to sort a pandas dataFrame by two or more columns? (5 answers) Feb 24, 2024 · Sorting data within groups in Pandas can significantly enhance your data analysis, allowing for more insightful and tailored results. To sort by multiple columns in Pandas, you can pass the desired columns as a list to the by parameter in the sort_values() method. To display the figure, use Show () method. However, I am unable to achieve this. To sort a DataFrame by multiple columns in Python Pandas, you can use pandas. A groupby operation involves some combination of splitting the object, applying a function, and combining the results. How do I do this? Jul 23, 2025 · Here, df. 总结 按多个列对数据框进行排序是非常常见的数据操作之一。 在Python中，Pandas库提供了sort_values ()方法来实现数据框的排序操作。 在进行多列排序时，需要添加多列列名和对应的排序顺序。 本文使用示例演示了如何通过 Python Pandas库按多列对数据框进行排序。 Jan 25, 2024 · In pandas, the sort_values() and sort_index() methods allow you to sort DataFrame and Series. Group the dataframe elements by marks and dob. Quick Examples of Sort by Multiple Columns in Pandas Following are quick examples of sorting by multiple columns. import pandas from pandas In this tutorial, we'll explore various methods for sorting data in Pandas, from basic sorting by index or column labels to more advanced techniques like sorting by multiple columns and choosing specific sorting algorithms. Using sort_values () sort_values () method is the most flexible and widely used method for sorting a DataFrame by multiple columns. join(): Merge multiple DataFrame objects along the columns DataFrame. Jun 17, 2013 · Suppose I have a dataframe with columns a, b and c. Jun 17, 2013 · Suppose I have a dataframe with columns a, b and c. Sorting a dataFrame by two or more Example: Ordering pandas DataFrame Based On Multiple Columns Using sort_values () Function In this example, I’ll show how to sort the rows of a pandas DataFrame by two or more columns. import pandas as pd data = {'year': pd. To sort the DataFrame based on the index we need to pass axis=0 as a parameter to sort_index method. From basic sorting operations to complex, multi-level sorting with custom logic, the techniques covered in this guide provide a comprehensive framework for organizing and analyzing data effectively. The `head ()` function allows users to quickly view the first few entries of a DataFrame, which is useful for understanding the structure and content of the data. The value 0 identifies the rows, and 1 identifies the columns. sort_values () method is used. Oct 21, 2022 · This tutorial explains how to sort a pandas pivot table based on values in a particular column, including an example. In this article, we explored how to use the sort_values() method to sort a DataFrame by one or more columns. I can't seem to figure out how to do this in Pandas. Sort a Series in ascending or descending order by some criterion. Understanding how to effectively leverage this function can greatly enhance data manipulation and analysis capabilities in Python. Parameter needed for compatibility with DataFrame. How do I do this? pandas. Aug 4, 2022 · Sorting by Multiple Columns A list of column names can be provided to sort by multiple columns. These methods are flexible and allow sorting by columns or indices. The Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Dec 1, 2023 · The sort_values () function in Pandas allows us to sort DataFrames on the basis of one or more columns. Parameter ascending can take a list of values: ascending=[True, False]. Aug 30, 2021 · To sort multiple columns of a Pandas DataFrame, we can use the sort_values () method. stack() and unstack(): Pivot a column or row level to the opposite axis respectively. May 4, 2021 · This tutorial explains how to sort a pandas DataFrame by both index and column, including several examples. Additionally, we will also demonstrate how to involve one or more columns when it comes to sorting the data. Oct 31, 2022 · How to sort pandas DataFrame by two columns collectively, rather than one then the other? Asked 3 years, 2 months ago Modified 3 years, 2 months ago Viewed 370 times Jun 19, 2023 · Sorting a Pandas DataFrame from one column is a common task in data analysis. if axis is 1 or ‘columns Jul 23, 2025 · Here, df. We would like to show you a description here but the site won’t allow us. pandas: This name is derived for the term "panel data" which is econometrics terms of data sets. Reshaping and pivot tables # pandas provides methods for manipulating a Series and DataFrame to alter the representation of the data for further data processing or data summarization. For example, for input I might have df = pd. sort by multiple column in pandas If you want to sort by two columns, pass a list of column labels to sort_values with the column labels ordered according to sort priority. Sorting DataFrames is a fundamental task that enhances data analysis, making it easier to spot trends, outliers, and axis{0 or ‘index’, 1 or ‘columns’}, default 0 The axis along which to sort. Feb 25, 2026 · Learn how to sort a Pandas DataFrame by multiple columns using the sort_values method. I want to sort the dataframe by column b in ascending order, and by column c in descending order. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby Mar 2, 2026 · The `head ()` function is used to sort the DataFrame in ascending order. Jul 15, 2025 · Pandas dataframe. g NaN in current example. ascendingbool or list-like of bools, default True Sort ascending vs. sort_values() method, it applies the sort key to all columns you pass in. if axis is 0 or ‘index’ then by may contain index levels and/or column labels. Sorting refers to rearranging a series or a sequence in a particular fashion (ascending, descending, or in any specific pattern). Pandas offers several methods to accomplish this, from the versatile sort_values() to specialized functions like nlargest() and nsmallest(). The sort_index () function sorts columns alphabetically, while custom sorting can be done based on column values, such as their sum. When applying it to a DataFrame, several key parameters govern its behavior, particularly when dealing with multiple columns. In this tutorial, you'll learn how to sort data in a pandas DataFrame using the pandas sort functions sort_values() and sort_index(). It takes several parameters that can define the sorting behavior, such as: the columns to sort by, the sorting order (ascending or descending), and handling null values. Jul 23, 2025 · In this article, we are going to discuss how to sort a CSV file by multiple columns. Apr 2, 2023 · We can use Pandas method sort_values() to sort by multiple columns in different order: ascending and descending. In SQL we use ORDER BY, while in Python (Pandas) we use sort_values (). in Feb 20, 2024 · Sorting DataFrame rows by multiple columns in Pandas is a versatile and powerful operation that provides deep insights into your data. Find the median of the dataframe. Write a Pandas program to sort a DataFrame by multiple columns and then reset the index while maintaining the sorted order. Master ascending and descending orders with real-world US datasets. Series. This is probably a really basic answer. My dataset looks like: Group1 Group2 A B C A B C 1 1 0 3 2 5 pandas. concat(): Merge multiple Series or DataFrame objects along a shared index or column DataFrame. if axis is 1 or ‘columns Feb 25, 2026 · Learn how to sort a Pandas DataFrame by multiple columns using the sort_values method. Complete guide with real examples from Indian e-commerce companies. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. levelint or level name or list of ints or list of level names If not None, sort on values in specified index level (s). Can anyone help. For example, in your desired result, person A now has a different Age and Education! How do I sort a data frame using multiple columns such that each column is sorted in different order? For example, the primary sort key is column 'A' in ascending order and secondary sort key is column 'B' in descending order. Parameters: axis{0 or ‘index’} Unused. Mar 1, 2025 · Sorting helps in organizing data for better analysis. sort_values(['2', '0']), the result would be sorted by column 2 then column 0. sort_values(by, *, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False, key=None) [source] # Sort by the values along either axis. Create a box plot from the DataFrame columns. Any help is appreciated. Sorting a DataFrame by multiple columns is a fundamental operation in data analysis. If you use df. Jun 29, 2025 · Sorting can be combined with other DataFrame operations like filtering or grouping for more complex workflows. Definition and Usage The sort_values() method sorts the DataFrame by the specified label. DataFrame. May 16, 2025 · Here's how to use Pandas to sort DataFrames by column, index, multiple columns, and what to know about sorting algorithms, handling NaNs and applying key functions in Pandas. Mar 4, 2024 · Method 1: Using pandas for Complex Sorting This method involves using the powerful pandas library, which provides a dataframe structure and a sort_values() method that allows sorting based on multiple columns. One common task when working with data frames is sorting the data based on one or more columns. 总结 按多个列对数据框进行排序是非常常见的数据操作之一。 在Python中，Pandas库提供了sort_values ()方法来实现数据框的排序操作。 在进行多列排序时，需要添加多列列名和对应的排序顺序。 本文使用示例演示了如何通过 Python Pandas库按多列对数据框进行排序。 Sep 5, 2025 · For more Practice: Solve these Related Problems: Write a Pandas program to sort a DataFrame by two or more columns with different sort orders and then output the sorted DataFrame. Parameters: bystr or list of str Name or list of names to sort by. Aug 25, 2021 · Closed 4 years ago. How can I sort a Pandas DataFrame according to multiple columns, with some of the columns being sorted in ascending order while other columns are sorted in descending order? Jun 10, 2025 · Mastering the art of sorting Pandas DataFrames by multiple columns is an indispensable skill in the data scientist's toolkit. Convert Number column from string to integer. First, we will convert the CSV file into a data frame then we will sort the data frame by using the sort_values () method. By mastering the examples provided, ranging from basic to advanced techniques, you’ll be better equipped to harness the full potential of your data. nsmallest (3, ['Rank']) sorts 'Rank' in ascending order and returns the lowest 3 rows. Create a Pandas dataframe of two-dimensional, size-mutable, potentially heterogeneous tabular data, with three columns. Print the sorted DataFrame. descending. You can specify the ascending parameter as a single Boolean or a list of Booleans to control sort order per column. We will even discuss how to sort a subset of columns in ascending order and the remaining subset in descending order. pivot() and pivot_table(): Group unique values within one or more discrete categories. sort_values(*, axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last', ignore_index=False, key=None) [source] # Sort by the values. When we sort a Pandas DataFrame by multiple columns, the sorting is done with a priority given to the order of the columns listed. Apply sort_index() to sort rows by a DataFrame’s index. Mar 16, 2026 · Sub-skill of pandas-data-processing: 2. sort_values # Series. Importing the panda's library and Creating a Pandas dataframe. Statistical Analysis. You can do it this way: Split the second column with alphanumeric strings into 2 columns: one column Letter to hold the first letter and another column Number to hold a number of one or two digits. How would I go about sorting the DataFrame as mentioned above? Pandas sort by two column values Asked 5 years, 2 months ago Modified 5 years, 2 months ago Viewed 94 times Aug 4, 2024 · Pandas is a powerful data manipulation library in Python that provides various functions and methods to work with structured data. This will not work since I want to sort first by the column 'two' using a native numerical sort. This method sorts the data frame in Ascending or Descending order according to the columns passed inside the function. Jul 15, 2025 · Sorting columns in Pandas helps in organizing data for better readability and analysis. Your DataFrame will be sorted by the first column first and, when multiple rows have the same value for the first column, those rows are then sorted by their second column. We’ll cover core concepts, step-by-step examples, common pitfalls, and advanced use cases to help you master multi-column sorting. You want to sort by one column of integers and after that if there are identical values according to column 'C int' then sort those by column 'E int' df. Sorting Rows in a DataFrame sort_values () function sorts rows based on one or multiple columns in ascending or descending order. For this, Dataframe. Merge, join, concatenate and compare # pandas provides various methods for combining and comparing Series or DataFrame. DataFrame([ May 21, 2014 · I am trying to sort by two columns of this dataFrame but the approaches I have tried have not worked out. suffixeslist-like, default is (“_x”, “_y”) A length-2 sequence where each element is optionally a string indicating the suffix to add to overlapping column names in left and right respectively. Nov 29, 2021 · This tutorial explains how to sort by multiple columns in a pandas DataFrame, including several examples. A DataFrame is essentially a table that allows you to store data in rows and columns. Apr 30, 2021 · I am trying to find a generic way to sort a DataFrame on multiple columns, where each column is sorted by a different arbitrary sort function. First, Let's Create a Dataframe: Feb 24, 2026 · Important Facts to Know : DataFrames: It is a two-dimensional data structure constructed with rows and columns, which is more similar to Excel spreadsheet. Steps Create a two-dimensional, size-mutable, potentially heterogeneous tabular data, df. Learn key pandas functions for data transformation in Python, including filtering, sorting, and creating new variables for effective data analysis. Jan 16, 2026 · In this blog, we’ll explore how to sort pandas DataFrames by multiple columns, focusing on the common "descending then ascending" pattern. How to sort a dataframe in python pandas with examples. Apr 11, 2018 · I want to sort the values in column C in ascending order and values in column B in order "April","August","December" and any remaining values e. Granted, this does not really make sense for this example because each value in df['2'] is unique. sort_values # DataFrame. groupby(by=None, level=None, *, as_index=True, sort=True, group_keys=True, observed=True, dropna=True) [source] # Group DataFrame using a mapper or by a Series of columns. Grouping the columns by using the groupby () function and sorting the values by using sort_values () in descending order. groupby # DataFrame. combine_first(): Update missing values with non-missing values in the same location merge(): Combine two Series Day 3 — Sorting Data Concept: Arranging data in ascending or descending order. Sep 25, 2023 · DataFrames are 2-dimensional data structures in pandas. Call the sort_values () method on the DataFrame object, and pass the required columns as a list of strings to the by named argument. Use the sort_values() function to reorder rows by columns. Oct 14, 2020 · When you use the pandas DataFrame. Sort pandas dataframe in python by Ascending and Descending order. Mar 6, 2026 · pandas-pro // Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Suppose it has two columns, one is year and the other is the column that I want to sort. Dec 2, 2025 · The Anatomy of DataFrame. In [167]: df Out[167]: count job source 0 2 sales A 1 4 sales B Jul 15, 2025 · In this article, we'll explore different ways to sort rows and columns in a DataFrame, helping you organize and analyze your data effectively. Cleaning and preparing data Dec 24, 2024 · Introduction Pandas joins, particularly through the join () method, are essential in data wrangling and analytics, providing powerful ways to combine data from multiple DataFrame objects based on index or column alignment. sort_values() comes in. sort_values () method. Feb 18, 2019 · By sorting each column independently you change the values within observations. sort_values ()方法。 该方法根据函数中传递的列，以升序或降序对数据框进行排序。 首先，我们来创建一个数据框架。 We would like to show you a description here but the site won’t allow us. Top 10 Most Used Functions in SQL, Pandas, and Excel Learn SQL and data analysis step by step https://lnkd. This lesson is all about mastering the art of sorting values within a DataFrame using pandas. You can sort in ascending or descending order, or sort by multiple columns. It allows you to organize data hierarchically - for example, sorting employees first by department and then by salary within each department. Dec 18, 2015 · I have a dataset that I want to sort and assign rank based on it. Sort the join keys lexicographically in the result DataFrame. pandas. ascendingbool or list of bools, default True If I am trying to group a dataframe with two columns and avoid default sorting using 'sort = False'. Jul 15, 2025 · In this article, our basic task is to sort the data frame based on two or more columns. in/dHkDz-ys Recommended courses IBM Data Science Professional Certificate https://lnkd. I have a dataset with multi-index columns in a pandas df that I would like to sort by values in a specific column. Sorting by Multiple Columns This example shows how to sort a DataFrame by multiple columns. For this, we can use the sort_values function. Sorting in pandas DataFrame is required for effective analysis of the data. Basically, the sorting algorithm is applied to the axis labels rather than the actual data in the Dataframe and based on that the data is rearranged. Then, sort these 2 new columns together with the first column of integers Let's illustrate the process with an example below: Assume we have the Jul 5, 2022 · In today’s tutorial we will explain in detail how to sort pandas DataFrames either in ascending or descending order. melt() and wide_to_long(): Unpivot a I'd like to rank these songs in order of popularity, so I'd like to sort them according to the following criteria: songs that reached the highest position come first, but if there is a tie, the songs that remained in the charts for the longest come first. sort_index () method sorts objects by labels along the given axis. The most important parameter is by, which accepts a single column name (a string) or, more relevantly for this topic, a list of column names (a list of strings How do I sort a data frame using multiple columns such that each column is sorted in different order? For example, the primary sort key is column 'A' in ascending order and secondary sort key is column 'B' in descending order. Print the input DataFrame, df. If False, the order of the join keys depends on the join type (how keyword). In this article, we will explore how to sort a Pandas data frame with multiple columns in Python 3. Pandas provides methods like sort_values() and sort_index() to sort data. The students start by diving into the sort_values () function, learning how to sort by a single column, and then extending this skill to sorting multiple columns. How would I go about sorting the DataFrame as mentioned above? I want to group my dataframe by two columns and then sort the aggregated results within those groups. sort_values () The sort_values () function is central to organizing data in Pandas. sort_values(by=['C int','E int'],ascending=[False,False]) You can not, however, simply sort by columns 'A object' or 'B object' as these contain both strings and integers. The most important parameter is by, which accepts a single column name (a string) or, more relevantly for this topic, a list of column names (a list of strings Oct 14, 2020 · When you use the pandas DataFrame. It allows sorting in both ascending and descending order while handling missing values efficiently. This can be used to group large amounts of data and compute Feb 28, 2026 · The ability to efficiently sort and manage data in Pandas is crucial for any data analyst or scientist working with structured datasets. What is Pandas Used for? Reading and writing data from various file formats like CSV, Excel and SQL databases. Nov 29, 2022 · 0 This question already has answers here: How to sort a DataFrame by two columns, using a custom order? (1 answer) Sorting multiple columns based on list in Pandas (2 answers) Dec 9, 2019 · I've a pandas dataframe with columns, department and employee_count. Mar 21, 2025 · Pandas Sort by Multiple Columns Pandas has made data handling easier with its DataFrame structure. zpcu upvwsfh ywrjux zyyeed vsmm sehr qgfmu wjon xikbuh udqkm
