Python dataframe pivot table example We then create a Pivot Table using the pivot_table() method, with the index set to 'Region', columns set to 'Product', values set to 'Sales', and aggregation function set to 'sum'. Aug 22, 2022 · In this tutorial we are going to cover the pandas groupby function, take a look at DataFrame stacking, and learn how to build pivot tables (pandas. . pivot_table() function to generate Excel-style pivot tables, directly off of a Pandas DataFrame. To group the data in a pivot table we will need to pass a DataFrame into this function and the multiple columns you wanted to group as an index. pivot_table # pandas. You can also reshape the DataFrame by using stack and unstack which are well described in Reshaping and Pivot Tables. In this section we will be dealing on how to create pivot table from a Pandas dataframe in python with aggregate function – mean ,count and sum. Therefore, there is no reason for it to do margins on axis=1. DataFrame. In this article, we will explore the concept of dataframe pivoting, discuss different techniques, and provide examples to illustrate their Mar 31, 2022 · This tutorial explains how to unpivot a pandas DataFrame, including an example. DataFrame or Series) to make it pandas. Example Output Let’s consider a small example to illustrate the usage of pivot_table() for aggregating unique counts. You may also want to check out all available functions/classes of the module pandas , or try the search function . In Python, you can create a pivot table using the Pandas library, transforming your data into a more informative, aggregated format for in-depth analysis. 53 I am still new to Python pandas' pivot_table and would like to ask a way to count frequencies of values in one column, which is also linked to another column of ID. All in all the time is only slightly longer than my original method, but as I said I feel it includes more information. Less flexible but more user-friendly than melt. See Reshaping and pivot tables for an overview. default_on_null – Expression to replace empty result values. pivot() include: Making data easier to read and analyze by converting long-format data into a more structured format. This will produce a consolidated table, albeit one with lots of "NaNs," or missing data. They allow you to reshape and summarize data in a way that provides valuable insights. pivottable()) are excellent for summarizing and reshaping data. This last example mimics a typical looking database table for something like sales data. Here we discuss the introduction to Pandas pivot_table() along with the examples to understand. Pandas pivot tables (DataFrame. mean, or list of functions If list of functions passed, the resulting pivot table will have hierarchical columns whose top level are the function names (inferred from the function objects themselves) So try Jul 11, 2025 · To make the analysis of data in a table easier, we can reshape the data into a more computer-friendly form using Pandas in Python. Jan 1, 2023 · The pivot_table () function in Pandas allows us to create a spreadsheet-style pivot table making it easier to group and analyze our data. Feb 26, 2024 · A pivot table is a perfect tool for this. Thanks! Learn how to pivot multiple columns in pandas with this step-by-step tutorial. This blog post will explore the concept of Python pivot tables with multiple values Nov 12, 2020 · In this article, we'll talk about Pivot Tables in Python. Oct 4, 2018 · I have a pandas dataframe that is pivoted. pivot_table (with aggregation of values=) to reshape the dataframe from a long to wide form. This method is ideal for converting long-form data into wide-form data while summarizing or aggregating values. For example, suppose we have a dataframe of test scores achieved by some students, where each row represents a distinct test. Pivot table in pandas is an excellent tool to summarize one or more numeric variable based on two other categorical variables. DataFrame: pd. As seen from the picture, I’m making pivot_id (red) change every time when a new filtered dataframe is passed in as an input because the pivot-table will not update automatically with a constant id value. Pandas is fast and it has high Dec 4, 2024 · The pivot_table () function in Python Pandas is a powerful tool used to summarize and reshape data in a DataFrame. e. DataFrame. pivot_table Create a spreadsheet-style pivot table as a DataFrame. In pandas, this would look like this: import pandas a Dec 1, 2018 · I've seen the other comments on here about how you can correctly sort the columns when the pivot() makes the date the column name. In Pandas data reshaping means the transformation of the structure of a table or vector (i. melt Identical method. Overview of pivot_table() In pandas, pivot_table() is a function that creates a spreadsheet-style pivot table as a DataFrame. pivot_table (): It is a more flexible method that allows you to create a spreadsheet-style pivot table as a DataFrame. However, the resulting pivot table often has a hierarchical index (MultiIndex) on its rows and/or columns, and the name of the original column used for columns in the pivot operation becomes the name of the column index. The function takes a set of unique values from a specified column and turns them into separate columns. You can rate examples to help us improve the quality of examples. wide_to_long Wide panel to long format. Jul 24, 2023 · In this example, we read a CSV file containing sales data into a DataFrame. pandas. Pandas pivot tables provide a powerful Dec 11, 2020 · In this article, we will see the Pivot Tables in Pandas. Dec 29, 2014 · Explanation of pandas pivot_table function. In this tutorial, we have learned how to render a Pandas DataFrame as an HTML table using the to_html() method. In this tutorial, you’ll learn how to implement a pivot table in Python using pandas’ DataFrame. See also melt Unpivot a DataFrame from wide to long format, optionally leaving identifiers set. Nov 23, 2018 · Pivot tables allow us to perform group-bys on columns and specify aggregate metrics for columns too. In Python 3, the pandas library provides a comprehensive set of tools for working with DataFrames, including various functions for pivoting. Apr 12, 2024 · The code sample uses the logical OR | operator before calling pivot_table(). To calculate the percentage of a category in a pivot table we calculate the ratio of category count to the total count. Jan 1, 2023 · In this example, we reshaped the DataFrame with Date as index, City as columns and Temperature as values. import polars as pl df = pl. We covered basic usage as well as advanced customizations like adding borders, aligning the table, and handling missing data. We'll implement the same using the pivot_table function in the Pandas module. pivot (): Reshapes data according to specified column or index values. Apr 15, 2020 · Pandas has a pivot_table function that applies a pivot on a DataFrame. In this guide, we’ll walk through these methods step-by-step, using practical examples to help you master row-to-column conversion based on category variables. Aug 15, 2016 · We need to reset_index() to reset the index columns back into the dataframe, then rename_axis() to rename the index to None and the columns to their axis=1 (column headers) values. See full list on sparkbyexamples. Feb 5, 2015 · I have a table in csv format that looks like this. Method 1: Using the pivot_table() Function Feb 26, 2019 · I’m having difficulty to be able to pull the “rows” values from my pivot table (yellow). pivot Pivot without aggregation that can handle non-numeric data. It provides the abstractions of DataFrames and Series, similar to those in R. This tutorial covers pandas DataFrames, from basic manipulations to advanced operations, by tackling 11 of the most popular questions so that you This lesson of the Python Tutorial for Data Analysis covers grouping data with pandas . pivot() and pivot_table(): Group unique values within one or more discrete categories. If either condition is met, the row gets added to the resulting DataFrame on which we call pivot_table(). 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. Mar 4, 2024 · This article shows different methods to create a pivot table as a DataFrame using Python’s Pandas library, turning a sample dataset with sales information by date and product into a summarized table showing total sales by product. For further analysis, plotting, or exporting, you might need Using Styler to manipulate the display is a useful feature because maintaining the indexing and data values for other purposes gives greater control. pivot_table(values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=<no_default>, sort=True) [source] # Create a spreadsheet-style pivot table as a DataFrame. pivot_table(df,index=['v1'],columns=['v2'=='A I would like to run a pivot on a pandas DataFrame, with the index being two columns, not one. Aug 3, 2022 · Pandas melt () function is used to change the DataFrame format from wide to long. pivot_table Generalization of pivot that can handle duplicate values for one index/column pair The following are 30 code examples of pandas. By understanding its various parameters and capabilities, you can unlock powerful insights from your datasets with minimal effort. In this article, we will go through a detailed example of how to use the pivot What is a DataFrame? A Pandas DataFrame is a 2 dimensional data structure, like a 2 dimensional array, or a table with rows and columns. We'll cover the basics of pivoting dataframes, and show you how to use the pivot () function to create pivot tables and reshape your data. As you can see, the original DataFrame had repeated city names in a column, but now each city has its own column with temperature values. Understand pivot vs pivot_table, create multi-column pivots, and optimize your data analysis. pivot_table) from our raw data. In Python Pandas library produces many functions that give us more flexibility to create and analyze the pivot table among all of these pivot() or pivot_table() is one that groups, summarize, and Aug 20, 2023 · Dataframe pivoting is a powerful technique in data manipulation that allows us to reshape and reorganize our data. DataFrame has a pivot_table method, and there is also a top-level function pandas. So can anyone tell me how I can get a nice Dataframe like I want using pivot? Additionally, from the documentation, I can't tell why pivot_table works and pivot doesn't. Jul 1, 2015 · Introduction Pandas is a popular python library for data analysis. Jun 20, 2025 · Running Python in excel, how can a dataframe be used as the data for an excel table, to then make pivot charts with the data. It is mainly popular for importing and analyzing data much easier. Examples You can use pivot to reshape a dataframe from “long” to “wide” format. Creating a Simple Pivot Table Once you have a DataFrame, creating a pivot table to see values distributed across categories per date becomes straightforward: Specify index, columns, and values for the pivot function. Pivot Table Using Melt () in Pandas What is Pivoting, and why do you need it? In the context of the Pandas library in Python, pivoting is a neat process that transforms a DataFrame into a new one by converting selected columns into new columns based on their values. Pandas melt () Example The use of melt () function is more clear when looked Jul 15, 2025 · Pandas in Python can convert a Pandas DataFrame to a table in an HTML web page. The pandas. For example below shows d1 becoming d2 (as initially requested) and then we can use pivot_table to then return d2 back to d1. The example checks that either of these 2 conditions is met: The id value of the row is greater than 1. It can transform or summarize data by reorganizing it according to specified criteria. Nov 24, 2018 · Category: Data Analysis Subcategory: Data Wrangling Tags: pivot, python, pandas In pandas, we can pivot our DataFrame without applying an aggregate operation. pivot_table. Jan 22, 2024 · I am trying to pivot a table on 2 value columns, apply some user defined function on the pivotted dataframe and then unpivot (stack in pandas). For example, one field for the year, one for the month, an 'item' field which shows 'item 1' and 'item Additionally, I want the struct_id to be for every row, and not aggregate in a joined row like it does for the table. What I haven't seen is how to convert those dates to a format I w Apr 5, 2017 · I would like to add a filtering condition to a pivot table, like this: (Select the values of v2 equal to 'A') pd. Pivot the data As we build up the pivot table, I think it’s easiest to take it one step at a time. pivot Jan 27, 2023 · P ivot and Pivot table look the same, but they are certainly not the same. Jun 8, 2023 · Pivoting with Python — A Baller Excel Move Ported to Pandas Pivot Tables are a staple in data analysis for Excel users, and for good reason. The pivot table takes simple column-wise data as input, and groups the entries into a two-dimensional table that provides a multidimensional summarization of the data. Oct 20, 2024 · The pivot_table() Function in Pandas The pivot_table() function is a powerful data manipulation tool in the pandas library. Don’t be afraid to play with the order and the variables to see what presentation makes the most sense for your needs. We will Dec 12, 2022 · Pandas is a popular Python package for data science, and with good reason: it offers powerful, expressive and flexible data structures that make data manipulation and analysis easy, among many other things. The pivot_df DataFrame is a multidimensional table that shows the temperature based on the city and the date. pivot_table() method. This data analysis technique is very popular in GUI spreadsheet applications and also works well in Python using the pandas package and the DataFrame pivot_table () method. Jul 11, 2025 · In this example, the pandas DataFrame (df) is transformed into a multi-level pivot table, using 'A' as the index, 'B' as the columns, and extracting values from both columns 'C' and 'A' to fill the cells. As per pandas official documentation. Mar 1, 2024 · The pivot() method in Pandas allows you to reshape your dataframe by reorganizing your data, turning unique values from one column into multiple columns in the output, and relocating corresponding values from other columns into the new structure. Nov 16, 2017 · 7 It can be done this way with Pandas' basic pivot_table functionality and aggregate functions (also need to import NumPy). Add items and check each step to verify you are getting the results you expect. crosstab(d. You do not have to overwrite your DataFrame to display it how you like. Jul 23, 2025 · Pivot table is used to summarize data which includes various statistical concepts. May 25, 2017 · So in finally coming back around to this one I found I occasionally have data that will have unique values [1,2] for nj instead of [1,2,3] in this case I feel that option 1 is more informative as it includes the column for value 3 filled with zeros. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame. Whether you are a beginner just starting out in data manipulation or an experienced Dec 25, 2024 · The pivot_table() method in Python's Pandas library is a versatile tool used to summarize large datasets efficiently. By default, the to_excel() method writes the row and Feb 23, 2024 · Among its numerous features, the pivot table function stands out for its ability to summarize and analyze large datasets in a simple manner. What Is the Pivot Function in Pandas? Aug 19, 2022 · Pandas DataFrame - pivot() function: The pivot() function is used to return reshaped DataFrame organized by given index / column values. Here is a more comprehensive example of using the formatting functions whilst still relying on the underlying data for indexing and calculations. When working with data in Python, especially when using the pandas library, one of the most powerful tools for data transformation and summarization is the pivot_table() function. Mar 11, 2025 · Learn how to pivot a DataFrame in Pandas using the pivot() method. 5k 25 184 176 The aggfunc argument of pivot_table takes a function or list of functions but not dict aggfunc : function, default numpy. Pandas. In this article, we will understand how to use the Styler Object and HTML in Pandas, specifically focusing on the process of converting a dataframe to HTML. Aug 19, 2022 · The pivot_table () function is used to create a spreadsheet-style pivot table as a DataFrame. Oct 18, 2020 · In this article, we will learn how to use pivot_table () in Pandas with examples. It’s used to create a specific format of the DataFrame object where one or more columns work as identifiers. pivot ()? The benefits of using pandas. Below are some examples which depict how to include percentage in a pivot table: Example 1: Jan 18, 2019 · I can write values to an existing excel worksheet but I am unable to export values from pivot table on pandas to excel sheet using openpyxl. Dec 16, 2024 · Create pivot tables with Pandas in Python. Sometimes Python developers need to create pivot tables using pandas dataframe. pivot_table extracted from open source projects. Python's pivot table functionality provides a powerful tool for reshaping and aggregating data, enabling analysts to gain valuable insights from complex datasets. Feb 19, 2025 · In Polars, the pivot() method is used to reshape a DataFrame by pivoting one or more columns’ unique values into separate columns, allowing for an aggregation of the data based on some index and columns. Python, with libraries like `pandas`, offers a convenient way to create pivot tables, especially when dealing with multiple values. Jan 9, 2024 · Getting started with Pandas Pivot Pandas is a powerhouse tool that allows you to do anything and everything with tabular or columnar data and is a vital component of Python's data science stack. sort: Bool, default True. Dec 4, 2024 · Learn how to use the Python Pandas pivot_table () function to summarize data, create pivot tables, and perform aggregation operations on DataFrames. pivot Return reshaped DataFrame organized by given index / column values. Below is a minimal working example. The DataFrame looks like the following. Jul 26, 2025 · The pivot () function in PySpark is a powerful method used to reshape a DataFrame by transforming unique values from one column into multiple columns in a new DataFrame, while aggregating data in the process. Jul 15, 2025 · The term Pivot Table can be defined as the Pandas function used to create a spreadsheet-style pivot table as a DataFrame. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. Jul 19, 2023 · How to use Pivot and Pivot Table in Pandas When to choose pivot vs. co, d. It allows you to reorganize and aggregate data, serving a similar purpose to pivot tables in spreadsheet software like Microsoft Excel but with much more flexibility. Jan 2, 2025 · Pivot tables are a data summarization tool in Pandas that allow reshaping and aggregating tabular data for analysis. pivot_table - 59 examples found. For example, in excel, cell A1 contains a pd. pivot_table Generalization of pivot that can handle duplicate values for one index/column pair. We'll prepare the data in steps as a usual python list sales, and then create the DataFrame which we'll call sales_data. An important part of data analysis is the process of grouping, summarizing, aggregating and calculating statistics about this data. js library, in combination with the Python, to create interactive pivot tables for data analysis by just drag and drop. 1 day ago · Pandas, the go-to Python library for data manipulation, offers powerful tools to achieve this: `pivot ()` and `pivot_table ()`. Oct 21, 2022 · This tutorial explains how to create a pivot table in pandas using multiple arguments for aggfunc, including an example. Learn 3 key techniques with step-by-step examples to boost your skills. This blog post will delve into the fundamental concepts of Python pivot tables, explore their usage methods, discuss common practices Jan 30, 2020 · 3 No, it can't be done with a pivot table. You would use pivot to return d2 to d1. In this article, we’ll look at the Pandas pivot_table function and how to See also DataFrame. explode Explode a DataFrame from list-like columns to long format. In this tutorial, we will dive deep into how to create pivot tables in Pandas to count, sum, and average values, complete with step-by-step examples. Pandas melt () function is useful to massage a DataFrame into a format where one or more columns are identifier variables, while all other columns . pivot (no aggregation of values=) or pandas. Lets see how to create pivot table in pandas python with an example Create dataframe: Oct 10, 2025 · PySpark pivot() function is used to rotate/transpose the data from one column into multiple Dataframe columns and back using unpivot (). It extends the functionality of traditional pivot tables, allowing for more complex operations and greater flexibility in data transformation. In this article, we will learn how to create pivot tables in Python pandas. This comprehensive guide covers the basics of reshaping data, handling MultiIndex situations, and provides clear examples to enhance your data analysis skills. You need to specify len as the aggregating function: Nov 16, 2025 · This tells pandas to build a pivot table, using the "region" column as the index, and the small, large, and "extra large" bags columns as the values to summarize, and to add them all up. The function provides significant flexibility through a large assortment of parameters. values – A list of values in the column, or dynamic based on the DataFrame query, or None (default) will use all values of the pivot column. A pivot table is a similar operation that is commonly seen in spreadsheets and other programs that operate on tabular data. Jun 13, 2025 · Create the Pivot Table with Multiple Columns Using the Pandas pivot_table() function we can reshape the DataFrame on multiple columns in the form of an Excel pivot table. DataFrame(np. melt () unpivots a DataFrame from wide format to long format. Method 1: Using the pivot_table() Function The pivot_table() function in Pandas is a versatile method to create pivot tables from a DataFrame. Feb 15, 2025 · Understanding Pivot Tables in Pandas If you think you need to spend $2,000 on a 120-day program to become a data scientist, then listen to me for a minute. Providing an excellent May 13, 2025 · It is very useful way to work with large datasets. Dec 24, 2015 · The indexes for the purposes of this question is id and contact_id then I want the response_answer strings to be listed in the data frame values under their pivoted question column headers to create a SQL table from A higher level question could be, is Pandas the best Python tool to pivot tables with string data; it seems it might be Sep 5, 2023 · Learn data reshaping in Python with this guide on how to use pandas pivot, complete with practical examples and tips. May 17, 2018 · I'm new to python and was wondering how to create a barplot on this data I created using pivot table function. melt () is one of the functions to do so. Jul 31, 2024 · The pandas library is a popular Python package for data analysis. Easily visualize your data! Python Pivot Table. The examples above are only a small portion of what's possible using pandas dataframe styling functionality. I would like to transpose the table so that the values in the indicator column are the new columns. Below are my code and what I am capable: import pandas May 17, 2024 · I am trying to perform a pivot operation on a Polars LazyFrame. pivot_table(data, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=<no_default>, sort=True) [source] # Create a spreadsheet-style pivot table as a DataFrame. It provides a façade on top of libraries like numpy and matplotlib, which makes it easier to read and transform data. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the 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. Pivot table: “Create a spreadsheet-style pivot table as a DataFrame”. Apr 12, 2020 · In this tutorial, you learned how to use the Pandas . See also DataFrame. The DataFrame is one of these structures. This comprehensive guide provides step-by-step instructions and practical examples. Before you start, you should familiarize yourself with what a pandas DataFrame looks like and how you can create one. Jul 23, 2025 · This parameter is deprecated and no longer used. This tutorial covers pivot and pivot table functionality in pandas. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the Jan 31, 2024 · The resulting unique_counts DataFrame will contain the aggregated unique counts for each product. The experience value of the row is equal to 2. Earlier it was available only in Microsoft Excel but its utility makes it required in every data processing software. It can be created using the pivot_table () method. pivot_table # DataFrame. Discover how to effectively organize your data for better insights and visualization. groupby (), using lambda functions and pivot tables, and sorting and sampling data. It is a Python package that offers various data structures and operations for manipulating numerical data and time series. Other possibilities include apply custom background color gradients and custom captions, amongst other things: Pandas Pivot Table for Sales Data Aggregation and Grand Totals This enhanced solution addresses the challenge of calculating subtotals and grand totals from a Pandas pivot table, including accurate percentage calculations. Jul 25, 2023 · In this article, we’ll explore how to leverage the power of PivotTable. Apr 13, 2023 · Guide to Pandas pivot_table(). com Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result See also DataFrame. Learn how to create and sort Python pivot tables using the pivot_ui library and pandas. The index will be on the y-axis, and the columns will be on the x-axis. Aug 28, 2021 · Melting a pandas dataframe: Also a nice answer! But it's only for that particular situation, which is pretty simple, only pd. from_repr (""" ┌──────┬──────┬──────┬──────┬───────────┬───────┐ │ ind1 ┆ ind2 ┆ ind3 ┆ in Apr 29, 2014 · python pandas dataframe pivot-table melt edited Mar 19, 2023 at 7:49 cottontail 25. Jun 24, 2025 · In Pandas, a pivot table can be used to display the count values of specific columns. Pivot is used to transform or reshape dataframe into a different format. They allow us to aggregate data in a multi May 22, 2020 · Reshape pandas dataframe with pivot_table in Python — tutorial and visualization Convert long to wide with pd. One of these functionalities is the pivot function. The aim of this guide is to provide a detailed exploration of how to pivot a DataFrame using the Python library Pandas. Why Use pandas. unstack Pivot based on the index values instead of a column. Among its vast array of features, the Pandas Pivot is an incredibly useful method for reshaping your DataFrame. to_html() method is used to render a Pandas DataFrame into an HTML format, allowing for easy display of data in web applications. ) Consider a dataframe df with columns 'key', 'row', 'item', 'col', and random float values 'val0', 'val1'. These are the top rated real world Python examples of pandas. It Feb 9, 2023 · A pivot table is a data manipulation tool that rearranges a table and sometimes aggregates the values for easy analysis. pivot_table (). The simplest pivot table must have a dataframe and Jan 1, 2023 · The reshaped DataFrame is a multidimensional table that shows the temperature based on the city and the date. Dec 5, 2024 · How to Effectively Pivot a DataFrame in Python Pivoting a DataFrame can sometimes seem daunting, especially when different methods yield varied results. Nov 17, 2025 · Discover five essential pandas techniques—indexing, melting, pivoting, combining tables, and handling dates/text—that help Python users analyze real data more easily and effectively. Thus the pivot() operation reshapes the data to make it clearer for further analysis. This tutorial is perfect for beginners who want to learn how to use pandas to analyze data. Allowing simple comparisons across different categories. May 5, 2023 · Mastering Pivot Tables in Python with Pandas Pivot tables are an invaluable tool for data analysis, enabling users to summarize and restructure large datasets for better understanding and … Returns: DataFrame Notes In some other frameworks, you might know this operation as pivot_wider. In this tutorial, we will learn about the pivoting in Pandas using these methods with examples to demonstrate their applications in data manipulation. It also supports aggfunc that defines the statistic to calculate when pivoting (aggfunc is np. All the remaining columns are treated as values and unpivoted to the row axis and only two columns - variable and value. Nov 7, 2017 · How do I pivot the pandas dataframe below such that the col values become columns, row values become the index, and mean of val0 becomes the values? (In some cases this is called transforming from long-format to wide-format. Aug 3, 2023 · Data manipulation is crucial for data analysis, and Python’s Pandas library offers a plethora of functionalities for it. When initially working with a data set in pandas, the structure will be two-dimensional, consisting of rows and columns, which are also known as a DataFrame. Pivot () It is an aggregation where one of the grouping columns values is transposed into individual columns with distinct data. Feb 20, 2024 · The pivot_table() method in Pandas is a versatile feature that simplifies the process of reshaping, summarizing, and analyzing your data. Apr 14, 2025 · In data analysis, pivot tables are a powerful tool for summarizing and aggregating data. pivot_table not only provides a convenient interface to groupby, but can also add partial sums (margins). Jan 2, 2015 · >>> pandas. Creating Pivot Table with Multiple Columns using Pandas Pivot Table for Students Report Let's create a DataFrame (df) with columns Name, Subject, Score, and Grade. Parameters : pivot_col – The column or name of the column to use. Apr 22, 2018 · We took a look at how MultiIndex and Pivot Tables work in Pandas on a real world example. Whether you’re converting long format data to wide format or handling various aggregation methods, this guide will cover Oct 24, 2024 · Learn to master Pandas pivot tables in data science. Python DataFrame. See the answer in this question and Pandas pivot_table documentation with examples: Aug 29, 2024 · Unlock the power of Python’s Groupby and Pivot_Table for efficient data analysis. I do not know how to change column names so that I can continue working with the pivoted dataframe in a natural way. Quick Examples of Pandas Unpivot the DataFrame Following are quick examples of unpivot the DataFrame in pandas. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result Pivot tables in Python with pandas are made possible by the groupby function in combination with reshaping operations using hierarchical indexing. Suppose we have the following sales data: Learn how to convert Excel's Pivot Table to Python using Pandas. melt(df) Pandas dataframe use columns as rows (melt): Very neat! But the problem is that it's only for the specific question the OP asked, which is also required to use pivot_table as well. Finally, we export the Pivot Table to an Excel file named 'sales_pivot_table. Let's discuss some concepts: Pandas : Pandas is an open-source library that is built on top of the NumPy library. # Pass the filtered DataFrame in the call to pandas. Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more. Jun 13, 2016 · 68 Use pandas. pivot Create a spreadsheet-style pivot table as a DataFrame. May 5, 2020 · Since all columns of df are all used for values parameter, pivot_table doesn't pivot anything to column (axis=1). pivottable() or pd. Pivot and pivot_table are two methods in the Pandas library that are used to reshape and reorganize data in a DataFrame May 27, 2021 · In this article, we will discuss how to create a pivot table of aggregated data and plot data with Pandas in order to make a stacked bar visualization. 1. Jan 24, 2025 · In the realm of data analysis, the ability to transform and summarize data efficiently is crucial. What are pivot tables? How do they work? And how can you create them using Pandas? In this video, I explain why they're such useful tools in data analytics, and how we can easily create them with Jun 24, 2022 · This tutorial explains how to create a pandas pivot table that displays a sum of values, including an example. The original approach struggled with percentage aggregation, requiring a refined strategy. Combining tables Jun 23, 2025 · The value_name parameter is used to rename the column that will store the values from the unpivoted columns. This pivot is helpful to see our data in a different way - often turning a format with many rows that would require scrolling into a new format with fewer rows but perhaps more columns. Each row represents a product, and the corresponding value represents the number of unique customers who bought that product. In this guide, we will delve deep into the Pandas pivot function, its applications, and when and how to use it effectively. Dec 12, 2024 · In pandas, the pivot() method is used to reshape a DataFrame by pivoting it around a specific index and creating a new DataFrame. mean by default, which calculates the average). Oct 21, 2022 · This tutorial explains how to add a filter to a pandas pivot table, including an example. Learn how to quickly summarize and analyze data by generating a powerful pandas pivot table. Sort the result DataFrame by the names of the index and column levels if True. You are not pivoting values within the dataframe. sh) sh c r s co b 1 1 0 g 1 2 0 r 0 1 2 You can do it with pivot_table, but it will give you NaN instead of 0 for missing combos. xlsx'. pivot_table Hause Lin · Follow Dec 25, 2024 · The DataFrame df consists of dates, categories, and values, simulating a typical data log scenario. It helps to transform long-form data into a more readable format, summarizing information based on specific categories. The pivot() or pivot_table() methods are used to create a spreadsheet-style pivot table from a given DataFrame.