Pandas difference between two dataframes in python. Aug 19, 2019 · We need in many situations to find the difference of two data frames in pandas. There are several ways to create a Pandas Dataframe in Python. To check that, run this on your cmd or Anaconda navigator cmd. Pros. data = {'Name': ['Tom', Jun 19, 2023 · In this article, we will explore how to compare two pandas dataframes for differences. Discover methods and examples to effectively compare DataFrames. compare() method, available in Pandas version 1. e. Find Common Rows Between Two Dataframes Using Concat Function Permalink. In the output, we see row 1 from df1 has a different value in column ‘B’ compared to df2. 17 True He was late to class 112 Nick 1. compare(other, align_axis=1, keep_shape=False, keep_equal=False, result_names=('self', 'other')) [source] # Compare to another DataFrame and show the differences. whether the indexes can be used, etc. diff(periods=1, axis=0) where: periods: The number of previous rows for calculating the difference. This function uses the following syntax: DataFrame. Dec 26, 2023 · Returns a DataFrame with the differences between two DataFrames: This function is useful for finding the differences between two DataFrames, such as which rows or columns are different. DataFrame. Introduced in Pandas version 1. equals() Returns True if two DataFrames are equal, False otherwise: This function is useful for checking if two DataFrames are identical. Dec 15, 2014 · One way is to use a Boolean series to index the column df['one']. Parameters: otherDataFrame Object to compare with. Nov 18, 2022 · The easiest way to do this will depend on how your dataframes are structured (i. 0. The pd. diff() in pandas, helps to calculate the difference between two consecutive dataframe elements. 0. diff# DataFrame. Suitable for exploring specific Jul 4, 2019 · So what we get is Tokyo and Paris which is common between the two dataframes. pandas. 0+ The DataFrame. 1. The compare() method, introduced in Pandas 1. If axis is 0 or ‘index’ the result will be a Series. Provides a detailed breakdown of differences at the element level. It will return a See full list on datascientyst. Syntax: pandas. The two DataFrames do not contain the exact same values, so this function correctly returns False. Before we dive into the process of comparing two pandas dataframes, let us first understand what pandas dataframes are. axis: Find difference over rows (0) or columns (1). The Pandas diff method allows us to easily subtract two rows in a Pandas Dataframe. Calculates the difference of a DataFrame element compared with another element in the DataFrame (default is element in previous row). 0, offers this granularity, enabling an element-wise comparison to identify where two DataFrames differ. I am trying to highlight exactly what changed between two dataframes. Syntax Overview: Apr 10, 2021 · You can use the DataFrame. Jun 19, 2023 · Using pd. Problem statement Given two Pandas DataFrames, we have to find the difference between Nov 27, 2013 · This approach, df1 != df2, works only for dataframes with identical rows and columns. compare() in Pandas Version 1. Aug 12, 2013 · Pandas MultiIndex objects have fast set operations implemented as methods, so you can convert the DataFrames to MultiIndexes, use the difference() method, then convert the result back to a DataFrame. 0 and above, makes it easy to compare two DataFrames. 0 and later, the compare() method performs an element-wise comparison of two DataFrames. diff (periods = 1, axis = 0) [source] # First discrete difference of element. Pandas is a popular Python library used for data manipulation and analysis. Which row to compare with can be specified with the periods parameter. 0, or ‘index’ Resulting Sep 14, 2021 · Learn how to find the difference between two DataFrames in Python Pandas with this comprehensive guide. align_axis{0 or ‘index’, 1 or ‘columns’}, default 1 Determine which axis to align the comparison on. Mar 16, 2021 · Merge function is similar to SQL inner join, we find the common rows between two dataframes. In fact, all dataframes axes are compared with _indexed_same method, and exception is raised if differences found, even in columns/indices order. compare() Method. The remaining rows are the differences. Call them df1 and df2. Dec 16, 2024 · Pandas provides various ways to compute the difference between DataFrames, whether it's comparing rows, columns, or entire DataFrames. 12 True "StudentRoster Jan-2": id Name score isEnrolled Comment 111 Jack 2. ). diff() function to find the difference between two rows in a pandas DataFrame. . 11 False Graduated 113 Zoe 4. Let’s see how we can use the Dec 5, 2024 · Finding the Difference Between Two DataFrames in Python Are you seeking efficient techniques to determine the difference between two data frames in Python? This is a common requirement in data analysis and manipulation, especially when working with the pandas library. Jan 3, 2022 · Combining two data frames and showing their difference - Python Pandas. DataFrame() function is used to create a DataFrame in Pandas. Calculating the Difference Between Pandas Dataframe Rows. This is useful in data analysis, especially when you need to track changes between datasets over time or compare two similar datasets. The concat function concatenate second dataframe(df2) below the first dataframe(df1) along a particular axis with optional set logic along the other axes. diff(periods=1 Nov 16, 2021 · In the next section, you’ll learn how to calculate the difference between Pandas Dataframe rows. Jun 10, 2025 · Pandas DataFrame. 1. equals (df2) False. In this article, we will explore methods to find the difference between pandas. Sep 26, 2023 · The thumb rule is if you have two Datasets having identical data, keep all your data in one data set, you may have to add two or more extra columns to fit the remaining data but this will save a lot of time and space and helps in better understanding of data. Mar 24, 2022 · You can use the following syntax to calculate a difference between two dates in a pandas DataFrame: df[' diff_days '] = (df[' end_date '] - df[' start_date ']) / np. Returns: Series or DataFrame. Dec 31, 2016 · Not sure if this is helpful or not, but I whipped together this quick python method for returning just the differences between two dataframes that both have the same columns and shape. Example: Creating a DataFrame from a DictionaryPythonimport pandas as pd # initialize data of lists. In other words we need to find the rows which belong to one data frame and do not belong to the other one. (4 date fields, a couple of string fields, and 4-5 float fields). compare() function is used to compare given DataFrames row by row along with the specified align_axis. timedelta64 ( 1 , ' D ') This particular example calculates the difference between the dates in the end_date and start_date columns in terms of days. Nov 6, 2017 · I have two dataframes both of which have the same basic schema. Method 1: Using the diff() Method. If the axis parameter is set to axes='columns', the method finds the difference column by column instead of row by row. Example 2: Find the differences in player stats between the two DataFrames. By default, Pandas will calculate the difference between subsequent rows. Nov 12, 2020 · Returns another DataFrame with the differences between the two dataFrames. Before Starting, an important note is the pandas version must be at least 1. The diff() method returns a DataFrame with the difference between the values for each row and, by default, the previous row. The concat () function does all the heavy lifting of performing concatenation operations along with an axis od Pandas objects while performing optional set logic (union or intersection) of the indexes (if any) on the other axes. This solution should be much faster (by ~100x or more from my brief testing) than the solutions given here so far, and it will not depend on the Oct 29, 2012 · I believe the appropriate way is to write a function that takes the current row, then figures out the previous row, and calculates the difference between them, the use the pandas apply function to update the dataframe with the value. Mar 5, 2024 · The code concatenates the two DataFrames, then drops duplicates. compare # DataFrame. Dec 24, 2018 · It is the most commonly used Pandas object. Nov 28, 2024 · This task is especially important in time-series data or datasets where temporal progression, rankings, or consecutive comparisons matter. 21 False Graduated 113 Zoe 4. Suppose I have two Python Pandas dataframes: "StudentRoster Jan-1": id Name score isEnrolled Comment 111 Jack 2. Understanding Pandas Dataframes. Sometimes we have two or more DataFrames having the same data with slight changes, in those situations we need to observe the difference between two DataFrames. This is a good example of why you should always include a reproducible example in pandas questions. difference between two dataframes in Sep 11, 2023 · While the equals() method lets us know if two DataFrames are identical, there are scenarios where we need a more detailed breakdown of differences between DataFrames. The resulting index will be a MultiIndex with ‘self’ and ‘other’ stacked alternately at the inner level. What I want to do is basically get a "diff" of the two - where I get back all rows that are not shared between the two dataframes (not in the set intersection). com pandas. It is done using pandas. It provides a powerful data Jul 28, 2020 · We can first find out if the two DataFrames are identical by using the DataFrame. Method 3: Using DataFrame. equals() function: #see if two DataFrames are identical df1. This gives you a new column where the True entries have the same value as the same row as df['one'] and the False values are NaN. We can I have already tried: Comparing two dataframes of different length row by row and adding columns for each row with equal value and Compare two DataFrames and output their differences side-by-side But these do not match with my problem. It returns a new DataFrame highlighting the differences between the two. Highlighting the difference between two dataframes. eebds xijt jvbx kbem jgipr tuhrc ewtgrvvt byidle ejj pgderb