--- title: pandas python Reviews meta_title: 'pandas python Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 99 reviews by the users' company size, role or industry to find out how pandas python works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 99 scale: '5' date_modified: '2026-07-17' parent_category: name: Development url: https://www.g2.com/categories/development --- # pandas python Reviews **Vendor:** pandas python **Category:** [Component Libraries Software](https://www.g2.com/categories/component-libraries) **Average Rating:** 4.6/5.0 **Total Reviews:** 99 ## About pandas python Pandas is a powerful and flexible open-source Python library designed for data analysis and manipulation. It provides fast, efficient, and intuitive data structures, such as DataFrame and Series, which simplify handling structured (tabular, multidimensional, potentially heterogeneous) and time series data. Pandas aims to be the fundamental high-level building block for practical, real-world data analysis in Python, offering a wide range of functionalities to streamline data processing tasks. Key Features and Functionality: - Handling Missing Data: Pandas offers easy handling of missing data, represented as `NaN`, `NA`, or `NaT`, in both floating point and non-floating point data. - Size Mutability: Columns can be inserted and deleted from DataFrame and higher-dimensional objects, allowing for dynamic data manipulation. - Data Alignment: Automatic and explicit data alignment ensures that objects can be aligned to a set of labels, facilitating accurate computations. - Group By Operations: Powerful and flexible group by functionality enables split-apply-combine operations on datasets for both aggregating and transforming data. - Data Conversion: Simplifies converting differently-indexed data in other Python and NumPy data structures into DataFrame objects. - Indexing and Subsetting: Provides intelligent label-based slicing, fancy indexing, and subsetting of large datasets. - Merging and Joining: Facilitates intuitive merging and joining of datasets. - Reshaping and Pivoting: Offers flexible reshaping and pivoting of datasets. - Hierarchical Labeling: Supports hierarchical labeling of axes, allowing multiple labels per tick. - Robust I/O Tools: Includes robust tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format. - Time Series Functionality: Provides time series-specific functionality, including date range generation, frequency conversion, moving window statistics, and date shifting and lagging. Primary Value and User Solutions: Pandas addresses the challenges of data analysis by offering a comprehensive suite of tools that simplify the process of data manipulation, cleaning, and analysis. Its intuitive data structures and functions allow users to perform complex operations with minimal code, enhancing productivity and enabling efficient handling of large datasets. By providing seamless integration with other Python libraries and tools, Pandas serves as a cornerstone for data science workflows, empowering users to extract insights and make data-driven decisions effectively. ## pandas python Pros & Cons **What users like:** - Users value the **ease of data management** in pandas, simplifying analysis and visualization tasks daily. (2 reviews) - Users find **pandas easy to use** , benefiting from intuitive syntax and seamless integration for data analysis tasks. (2 reviews) - Users appreciate the **easy integrations** of pandas, making it essential for seamless data analysis and visualization tasks. (2 reviews) - Users appreciate the **coding efficiency** of pandas, finding its syntax easy and integration with structured data seamless. (1 reviews) - Users appreciate the **high design quality** of pandas Python, enabling effective usability and visualization of data sets. (1 reviews) - Users appreciate the **intuitive and powerful data manipulation** of pandas, enabling efficient operations in just a few lines. (1 reviews) - Features (1 reviews) - Installation Ease (1 reviews) - Integrations (1 reviews) - Time-saving (1 reviews) **What users dislike:** - Users experience **performance issues** with pandas, noting slow operation and high memory consumption on large datasets. (2 reviews) - Users find the **complex installation** of pandas Python to be time-consuming and challenging to implement effectively. (1 reviews) - Users often find the **difficulty** in handling large datasets and the steep learning curve frustrating. (1 reviews) - Users often face **integration issues** with pandas, especially when attempting to connect it efficiently to various data sources. (1 reviews) ## pandas python Reviews ### 1. Best Python Library for making Dataframes **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 20, 2020 **What do you like best about pandas python?** Python Pandas is used to generate structured data from unstructed form of data like json data **What do you dislike about pandas python?** The most disliked thing is that in pandas the data is structured in slow pattern **Recommendations to others considering pandas python:** Highly recommended others to use pandas **What problems is pandas python solving and how is that benefiting you?** The problem of making the plots using matplotlib or other python library is become easier ### 2. Easy to Use and Understand **Rating:** 5.0/5.0 stars **Reviewed by:** Hasan H. | Entrepreneur | Development Engineer, Electrical/Electronic Manufacturing, Enterprise (> 1000 emp.) **Reviewed Date:** June 27, 2020 **What do you like best about pandas python?** Easy to learn and understand. Learning it quite easily **What do you dislike about pandas python?** Sometimes it gets stuck without reason and also difficult to use GPU of AMD **What problems is pandas python solving and how is that benefiting you?** I am working on Electromagnetic waves and its easy to use and implement on it using the pandas in Spyder Python ### 3. Pandas Python Review **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2020 **What do you like best about pandas python?** The best thing about the pandas, we can perform the data analytics operation with this in completion of data science process. it has couple of the function to perform the operation over the data frame(i.e. array or matrix). **What do you dislike about pandas python?** This is not dislike thing about the pandas. it is an requirement of analytics that this should have the memory optimization feature **Recommendations to others considering pandas python:** I would recommend to my friends that it is very useful to perform the data exploration. **What problems is pandas python solving and how is that benefiting you?** we are working and worked with pandas to explore the data to perform the data analytics part. I realized that this is base library of python we can work with data with the help of this. ### 4. Creating scripts is getting easier **Rating:** 4.5/5.0 stars **Reviewed by:** Altuğ T. | Electrical Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 02, 2019 ### 5. Feedback about Pandas **Rating:** 4.5/5.0 stars **Reviewed by:** Harshad S. | Product Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 09, 2020 **What do you like best about pandas python?** we can perform the data science operation below we can do data cleansing with this python library we can do data preprocessing and many more. **What do you dislike about pandas python?** This takes a bit more in memory to process the mass data that should be optimized.It should be version compatibility as well. **Recommendations to others considering pandas python:** I would recommend to all friends who work for Data Analytics and Machine learning because of its ease use **What problems is pandas python solving and how is that benefiting you?** we are solving the data analytics part that helps us to create the machine learning model ### 6. Great tool to load, manage, manipulate and save the data on Python **Rating:** 5.0/5.0 stars **Reviewed by:** Meliksah T. | Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 17, 2019 **What do you like best about pandas python?** - Ease of use: I can simply read a file by typing read_excel('name.xlsx') and that's it. - Ability to manage all kinds of data for all kind of needs. You have multi-indexed data and you want to sort in a hierarchical way? No problem, pandas has a solution for that, just as it does for everything you do. - It is based on NumPy so it works very efficiently thanks to vectorized background, that's very precious when working with huge amount of data. - It is also based on Matplotlib which makes visualization very convenient. I can simply go write df['data'].hist() to plot histogram or df['data'].plot() for line plot or df['data'].plot(kind = 'bar') for bar plot, without being have to deal with a lot of parameters. **What do you dislike about pandas python?** As much as it's great to have matplotlib in the background of pandas, some features of matplotlib are not exactly available in pandas so we have to use matplotlib instead. To be able to use all features of matplotlib would be nice. **Recommendations to others considering pandas python:** Do not forget to use its visualization functions which are based on Matplotlib. Functions such as hist() and plot() are very handy and fast. **What problems is pandas python solving and how is that benefiting you?** I am solving the problems of: loading the data, exploring it using pandas functions such as info, describe, shape, mean, max, min, etc., manipulating and managing the data by using functions such as groupby, drop, dropna, etc. and having ready the data for machine learning pipelines. Not to mention I save the result as csv/excel file. ### 7. Pandas **Rating:** 4.0/5.0 stars **Reviewed by:** abdal A. | Mid-Market (51-1000 emp.) **Reviewed Date:** January 22, 2020 **What do you like best about pandas python?** Pandas is easy use, can handle tabular data efficiently very fast. **What do you dislike about pandas python?** it is in memory operations so it takes more memory and needs high configuration for the operations **Recommendations to others considering pandas python:** pandas as very useful data transformations inbuilt which would to hours to code in other langauale **What problems is pandas python solving and how is that benefiting you?** i use pandas for performing various data operations during the data exploration stage ### 8. Great data manipulation tool **Rating:** 4.5/5.0 stars **Reviewed by:** Vandana A. | Project Manager & Web Developer, Enterprise (> 1000 emp.) **Reviewed Date:** February 15, 2019 **What do you like best about pandas python?** It’s great how there are so many libraries that the user can utilize for effective data manipulation. Great for company usage! **What do you dislike about pandas python?** There is nothing in particular that I dislike about the tool. **What problems is pandas python solving and how is that benefiting you?** Analyzing google trends data was very useful with tool to rearrange data in different ways for analysis. ### 9. Pandas python **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** September 10, 2019 **What do you like best about pandas python?** Pandas used with Python is extremely intuitive, easy to use, robust, dealing with data-frames is simple, data subsetting and filtering features are cool, can support quite a large number of rows, very easy to learn with a large number of examples available online. **What do you dislike about pandas python?** - Panda only handles results that can fit in the memory, it can be a limitation sometimes. - Though the documentation is largely available, it is sparse. - Low performance and long runtime when you’re dealing with very large data sets. **Recommendations to others considering pandas python:** If you are new to Python, you'll be confused by the number of packages that essentially...do the same thing. Pandas used with python allows you to get most of the job done with a robust set of libraries and a lot of examples in internet to guide you through your learning process. **What problems is pandas python solving and how is that benefiting you?** Pandas Python is awesome when it comes to processing geolocated data, I use it to show visualisations related to application user's QOE per country or region. I use it also for data analysis to support various business cases. ### 10. Best Python Library for Data Manulplation and Analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Vikas P. | Associate System Engineer , Small-Business (50 or fewer emp.) **Reviewed Date:** May 31, 2019 **What do you like best about pandas python?** Pandas is by far one of the best open source Python libraries for Data manipulation and analysis. Pandas Data structure called Dataframe. I am truly in love with the Dataframe. It is really easy, data visualization is awesome, data frames are really fast in performance and many more such amazing features. **What do you dislike about pandas python?** I am a huge Pandas fan, there is nothing I dislike about it. **Recommendations to others considering pandas python:** Pandas become an inevitable part of your life if you want to pursue a career in ML and Data Science. It helps you in verious aspects. You should also learn to use Datasraefficiently. As it provides lots of inbuilt functions which are useful in data analysis. **What problems is pandas python solving and how is that benefiting you?** I used Pandas mostly in Data preprocessing process. For a machine learning model to work good, data has to be in a cleaner format. To clean the data there are lots of steps to follow such as Data manipulation, visualizing the data, adding features in the dataset and many more for this purpose I use Pandas. ### 11. Simple, efficient and powerful data manipulation and analysis tool **Rating:** 5.0/5.0 stars **Reviewed by:** Raghuvar P. | Big Data Developer & AWS Certified Solution Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** May 28, 2019 **What do you like best about pandas python?** I am literally in love with Pandas, just like I love panda animals. Pandas provide excellent data structure(dataframe) for manipulation, analysing and cleaning the data. It supports data in any format and give us in a nice table like structure. With the Dataframe you can manipulate data however you want. The plotting of data also becomes easier, to apply some statistics on data such as mean, standard deviation etc are just one line code. Converting the datarame into csv, excel, json is super easy. It makes life very very easier of Machine Learning and Data Science developers. **What do you dislike about pandas python?** Honestly, I love pandas there is nothing I dislike about it. It's just for smaller data you might want to use Python list or dictionary. **Recommendations to others considering pandas python:** For a Data science and machine learning aspirants Pandas is a must have known tool. You should be able to master it. It is rich with lot of features which are important for ML and Data science. Pandas and Numpy both makes perfect couple for Data preprocessing. **What problems is pandas python solving and how is that benefiting you?** I use pandas in my Machine Learning and data science related work. Also to build Machine Learning models we have to Data preprocessing and there is no better tool available than pandas. Also. I have use pandas to scrape the data from web and store into data frame for further processing. Pandas has become an part of my development life. ### 12. Easy to visualize and manipulate data. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2019 **What do you like best about pandas python?** Ease of use in implementing pandas inside of python. I prefer using in anaconda package. **What do you dislike about pandas python?** It takes some getting used to the syntax and online documentation is a bit lacking. **What problems is pandas python solving and how is that benefiting you?** Easier to visualize and manipulate datasets on the fly. ### 13. Pandas Python **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** December 31, 2019 **What do you like best about pandas python?** It is the best to package available in python for reading the CSV, EXCEL or other files, It provides the rich options to manipulate your data. **What do you dislike about pandas python?** Visualization of the data can be improved in the new version of the pandas. **Recommendations to others considering pandas python:** The best utility developed till now, very easy to use. **What problems is pandas python solving and how is that benefiting you?** I am working as a data scientist and with the help of pandas library, I load the data and do data mining, data aggregation, data cleaning, and wrangling. ### 14. Pandas user **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** December 09, 2019 **What do you like best about pandas python?** Python Pandas is suitable for multiple different data editing and manipulation tasks **What do you dislike about pandas python?** There is a huge number of different options that sometimes need to be defined. **Recommendations to others considering pandas python:** It is advisable to read the Pandas manual as it is extremely helpful **What problems is pandas python solving and how is that benefiting you?** Different data analysis tasks. ### 15. Pandas is better! **Rating:** 4.5/5.0 stars **Reviewed by:** Dilshad A. | ML Engineer, Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 01, 2019 **What do you like best about pandas python?** It is an easy to use big data handler. I recommend it to all the data mining students and pros... **What do you dislike about pandas python?** Sometimes it works slower due to high memory consumption **What problems is pandas python solving and how is that benefiting you?** Compatibility issues and whl problems ### 16. Pandas **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** January 07, 2020 **What do you like best about pandas python?** Pandas requires less scripting as it as various inbuilt functions. It has an excellent ways for representating the data **What do you dislike about pandas python?** Pandas is very complex to learn and it has very poor documentation and very difficult syntax **Recommendations to others considering pandas python:** Pandas helps for the data analysis and data exploration **What problems is pandas python solving and how is that benefiting you?** Using Pandas we perform data analysis for the various machine learning algorithms ### 17. Control any dataset with pandas **Rating:** 5.0/5.0 stars **Reviewed by:** Stanley D. | Data Engineer, Computer Hardware, Small-Business (50 or fewer emp.) **Reviewed Date:** July 09, 2019 **What do you like best about pandas python?** 1. Pandas is very easy to use (since it is a python library), and there are a lot of functions to make one's code easy, short and efficient. 2. Pandas developer community and support is extremely high, and almost all problems one may ever face is already addressed and solved on StackOverflow and GitHub. 3. Pandas integrate very well with other python libraries. 4. Pandas also contain functions for plotting graphs easily. **What do you dislike about pandas python?** Pandas often hang or sometimes crashes when working with very large datasets (big data). **What problems is pandas python solving and how is that benefiting you?** I currently use Pandas for data cleaning, data visualization, feature engineering and preparation of training and test data for machine learning models. ### 18. very powerful library **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** January 13, 2020 **What do you like best about pandas python?** Very strong library that has a lot of features to work with data. Small amount of code is enough for any kind of data process and analysis. **What do you dislike about pandas python?** It may be little new for the users who does not know much about python. **What problems is pandas python solving and how is that benefiting you?** Data analysis in physics experiment. ### 19. Data manipulation library for python **Rating:** 4.5/5.0 stars **Reviewed by:** John Paul S. | Rewards Live, Mid-Market (51-1000 emp.) **Reviewed Date:** July 10, 2019 **What do you like best about pandas python?** I like pandas python a lot because this library lets me automate various tasks with a programming language that I would otherwise have to do by hand in Microsoft Excel. Now i just write programs to do the work. **What do you dislike about pandas python?** I dislike that the Pandas documentation is a little rough and sometimes unclear as how to use the methods. **What problems is pandas python solving and how is that benefiting you?** The problems I am solving with python pandas library is the need to quickly process and get information on a variety of data in spreadsheets and completely automate the process. This has heavily cut down our data processing by hand through automation. ### 20. Pandas - Python Library **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** October 24, 2019 **What do you like best about pandas python?** Pandas is a very easy to use library. Deal with data with minimum effort. You can clean your data, create data frames, and preprocess your data with this package. You can use it with the Python programming language. **What do you dislike about pandas python?**

There is not a lot to dislike. You can combine it with other libraries to make it effective.

**Recommendations to others considering pandas python:** Go through tutorials for better understanding. **What problems is pandas python solving and how is that benefiting you?** Pandas me permite manejar grandes cantidades de datos con un esfuerzo mínimo. Fácil encontrar valores nulos, organizar marcos de datos, etc. ### 21. The best data preprocessing package in Python for data analysis **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** November 06, 2019 **What do you like best about pandas python?** The ease and the regular update which brings all the features that is required for data preprocessing. **What do you dislike about pandas python?** It should be made more robust to handle large dataset **What problems is pandas python solving and how is that benefiting you?** Pivoting, groupby , reading files are done at ease. ### 22. Brilliant library/tool for Data Analysis and Mining **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 14, 2019 **What do you like best about pandas python?** The pandas library has made the usage of Python for carrying out data analysis and exploration very easy and efficient. It is easy to understand since the documentation is very well scripted. **What do you dislike about pandas python?** You might have to convert the basic data structures of Python to be compatible with pandas. **What problems is pandas python solving and how is that benefiting you?** 1) Normal Python coding 2) Data Analysis 3) Data Cleaning 4) Data Exploration ### 23. Python pandas for Graphs **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Small-Business (50 or fewer emp.) **Reviewed Date:** September 22, 2019 **What do you like best about pandas python?** Very easy to use, makes your job 100 times easier. Plotting graphs in real time, importing python module is just one line of code. **What do you dislike about pandas python?** It's a little complicated when you want to manually set your graph's x-y axis. Pandas sets it automatically so if your specifications are different from what you get from pandas result, it can be complicated. **What problems is pandas python solving and how is that benefiting you?** Plotting real time date from PLC ( programmable Logic controller ) in to frontend dashboard for the non technical users to analyse the different productions in the industry. ### 24. Great data science tool for advanced analytics **Rating:** 4.0/5.0 stars **Reviewed by:** Dorian N. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 28, 2019 **What do you like best about pandas python?** I like pandas library in python the best because it is a very easy way to load data and analyze large amounts of data in the programmatic environment. **What do you dislike about pandas python?** I dislike the pandas is an open source library and sometimes it is hard to understand the documentation that is written and available online. **What problems is pandas python solving and how is that benefiting you?** The problems I'm solving with pandas and Python is very. The first and main benefit is that I am able toTwo summary statistics on large amounts of data that previously would take a lot more time in other languages. ### 25. Library for data management and analytics in Python **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** June 26, 2019 **What do you like best about pandas python?** I like pandas than most because it is a very easy to use library where I can quickly set up an analytic workflow and drive results from having very easy to use data structures. **What do you dislike about pandas python?** I dislike that the pandas is an open source tool that does not come with the most clear documentation. **What problems is pandas python solving and how is that benefiting you?** The problems I'm solving with pandas Is the need to drive large analytic workflows and gain summary statistics information from columnar data ### 26. Pandas make data analysis easy **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) **Reviewed Date:** October 05, 2019 **What do you like best about pandas python?** Easy to use. Very very intuitive and understandable **What do you dislike about pandas python?** Some dependencies that need to be installed seperately **Recommendations to others considering pandas python:** Instead of using other expensive and proprietary software pandas is the best replacement. **What problems is pandas python solving and how is that benefiting you?** Data analysis, building machine learning models. Things move fast with the use of pandas for small to mid sized data ### 27. Data science with the pandas library **Rating:** 4.5/5.0 stars **Reviewed by:** Satvik P. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** June 01, 2019 **What do you like best about pandas python?** Data science is made easy with the pandas library because it works well and lets me get a lot of things done. **What do you dislike about pandas python?** Pandas is an open source library and the data structures are sometimes confusing to use with documentation. **What problems is pandas python solving and how is that benefiting you?** The problems I am solving with pandas python is the need to read large amounts of data to draw conclusions and other information. ### 28. Great replacement for Excel **Rating:** 5.0/5.0 stars **Reviewed by:** Asad Z. | Artificial Intelligence Research Engineer, Telecommunications, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2019 **What do you like best about pandas python?** Ease and speed of data handling and manipulation **What do you dislike about pandas python?** Slow speed when working with element by element via for loop **What problems is pandas python solving and how is that benefiting you?** Made 5G network simulator and it helped a lot ### 29. Are you even a data scientist if you don't work with Pandas? **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2019 **What do you like best about pandas python?** The ability to manipulate data with such ease by providing SO many operations to the user is just beyond doubt the best thing about it. **What do you dislike about pandas python?** Sometimes some operations like loc, iloc etc can get really confusing. The documentation is good but can be made way better. **Recommendations to others considering pandas python:** Definitely try out pandas, especially if you're just getting into data science! **What problems is pandas python solving and how is that benefiting you?** Data mingling Data manipulation Simple plots Data aggregation Data description I use pandas to deal with all of the above! ### 30. The ultimate package for data manipulation **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** August 30, 2019 **What do you like best about pandas python?** The applicability, portability to other modules, extremely useful in data science applications **What do you dislike about pandas python?** Some operations are bit rigid. Flexibility options are few **What problems is pandas python solving and how is that benefiting you?** machine learning examples, trying to read from files. Benefits range from using data manipulation given a key-annotated data column ### 31. Data Manipulation Made Easy For Everyone **Rating:** 4.5/5.0 stars **Reviewed by:** Vikram S. | Senior Manager, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** October 01, 2018 **What do you like best about pandas python?** Data comes in every form and needs to be handled and manipulated for further processing. Pandas is a pretty good library that can handle various file types and provides easy to use API for data manipulation. The best thing I liked about pandas is the DataFrame concept, after lodaing data from any file irrespective of the type it brings all data to DataFrame object on which all the APIs can be easily applied. **What do you dislike about pandas python?** Pandas is the only library we use at Easesolution Pvt. Ltd. for data pre-processing and manipulation. So I personally have no dislike for it. **Recommendations to others considering pandas python:** There is one more companian available which I recomend all of you to use along with Pandas is Numpy. These both together goes very well and all of your data pre-processing a cup of tea and you can start working on the main task with in minutes. **What problems is pandas python solving and how is that benefiting you?** As I mentioned it is the best tool present around for data manipulation for different file type. As a company we recieve data in various formats which needs to be handled. So we trust it and use it. Also one more thing I would like to mention, it's robust and handles errors very well. So the debuding is comparitively easy. Recently the project I remember I used pandas was, when we recieved data in csv files and data was to be fetched and applied. ### 32. Can't do much without it **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 08, 2019 **What do you like best about pandas python?** It's basically a necessary package for anyone involved in Data Science/Analytics using Python. **What do you dislike about pandas python?** There's really nothing to dislike about it. **What problems is pandas python solving and how is that benefiting you?** I make sure that I have all of the data in a good DataFrame (which is like a SQL/Excel table) and put the DataFrame directly into a SQL database, csv, or excel file. ### 33. Best for manipulating and machine learning with data **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Architecture & Planning | Mid-Market (51-1000 emp.) **Reviewed Date:** October 29, 2018 **What do you like best about pandas python?** Pandas Dataframe structure makes it very simple to arrange and adjust data. When used with SciPy it makes Machine Learning an easy process. **What do you dislike about pandas python?** Some of the code examples do not always make the process of manipulating the data easy. I have found examples on other websites that are more effective with Dataframes. So, yes, the documentation is sometimes lacking the reality of programming in Python. **Recommendations to others considering pandas python:** I am not familiar with many other products that can easily arrange data into dataframes like Pandas does. With Python, using this package is a given.. must use. **What problems is pandas python solving and how is that benefiting you?** I have been able to remove duplicate lines of data and sort through numerous lines of text files that I have created to track software usage and such. In C# I typically pull the data but to easily clean up the text file I use Python (Pandas specifically). ### 34. A must know library for Data Scientists who plan to work in Python **Rating:** 5.0/5.0 stars **Reviewed by:** Shubhra M. | Lead Software Developer, Renewables & Environment, Small-Business (50 or fewer emp.) **Reviewed Date:** October 26, 2018 **What do you like best about pandas python?** The library is very intuitive. Most operation follow verb_noun pattern and even if you are a new user, you can "guess" what possibly the operation will be. It makes working with series and data frames very easy and most of times, you will find a highly optimized function in the library for whatever operation you want to perform. **What do you dislike about pandas python?** When it comes to plotting, it can take some time getting used to the terminology and approach used. However, once you are familiar with the approach, then creating insightful and beautiful graphs becomes easy. **What problems is pandas python solving and how is that benefiting you?** Have used Pandas mainly for data visualization and cleaning. ### 35. Great way to manipulate data **Rating:** 5.0/5.0 stars **Reviewed by:** Rajat W. | Process Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 13, 2018 **What do you like best about pandas python?** To play with data one of the best modules in python. One can import data a lot of file formats and then use it as required. It has a lot of functionalities which helps to get the data in the required format **What do you dislike about pandas python?** Needs a lot of study to get used to it and manipulate data **What problems is pandas python solving and how is that benefiting you?** Python helps to automate a lot of processes and also helps in machine learning. To get data in the required format to train the machine learning algorithm, pandas is great to format the data. ### 36. Best for the data analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 11, 2019 **What do you like best about pandas python?** The built in function which helps to provide the insight **What do you dislike about pandas python?** Sometimes for complicated data, it seems bit confusing but depends person to person **What problems is pandas python solving and how is that benefiting you?** I'm using it for my own projects. Working on my in house application ### 37. Good Package for Predictive Analytics parts in Python **Rating:** 4.0/5.0 stars **Reviewed by:** Nikhil G. | Part Time Trainer, Mid-Market (51-1000 emp.) **Reviewed Date:** January 27, 2019 **What do you like best about pandas python?** Best Package for Predicting the outcomes and Visualizing data , ease implementation of functions in python **What do you dislike about pandas python?** It lags in terms of accuracy where Programming Languages like R gives best result in terms of accuracy **Recommendations to others considering pandas python:** R Programming **What problems is pandas python solving and how is that benefiting you?** We have done Time Series Analysis on retail data set using pandas. ### 38. The best library for anything data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2019 **What do you like best about pandas python?** It has the best, most straightforward functions for data analysis and visual representation **What do you dislike about pandas python?** There is ALOT to learn here. To be an expert in pandas you need months and months of training and using it **What problems is pandas python solving and how is that benefiting you?** Data cleaning, merging, analysis, and representation ### 39. Easily load datas **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2019 **What do you like best about pandas python?** Using pandas we can easily load data's and work with the datas **What do you dislike about pandas python?** Sometimes CSV file data files extraction is little confusable **Recommendations to others considering pandas python:** Good package to work on data sets **What problems is pandas python solving and how is that benefiting you?** Data analytics ### 40. Pandas **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 02, 2019 **What do you like best about pandas python?** Ease of usage and wide popularity with open source support **What do you dislike about pandas python?** It's a little difficult to understand till you get hands on with it **What problems is pandas python solving and how is that benefiting you?** Graph analysis on large data sets ### 41. Pandas in Python **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** November 26, 2018 **What do you like best about pandas python?** Pandas library in python let's you work with your data in a data frame. It let's you play with the data and is an important library for data wrangling and data munging. **What do you dislike about pandas python?** It can only deal majorly with data frames. You'll have to import other libraries like numpy for any kind of arethmetic. However, it gets your basic work done. **What problems is pandas python solving and how is that benefiting you?** I've worked on many projects using pandas. It is almost in every Notebook and helps me clean my data in any project. ### 42. Easy to work with and fast! **Rating:** 4.0/5.0 stars **Reviewed by:** Morgan S. | Advisory Services - Consultant, Financial Services, Mid-Market (51-1000 emp.) **Reviewed Date:** September 19, 2018 **What do you like best about pandas python?** I like the flexibility in the use cases for my job. Many times I have to pivot and change on demand codes based on cross functional feedback. **What do you dislike about pandas python?** Color schemes that are more dark. Overall the product is great and we use it multiple times daily. **What problems is pandas python solving and how is that benefiting you?** This allows me to manipulated large data frames and run statistical analysis. This provides process improvement to talk a manual excel report into a few minutes of work. ### 43. Good library for science & research **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Hardware | Enterprise (> 1000 emp.) **Reviewed Date:** September 27, 2018 **What do you like best about pandas python?** Pandas is a python library that is easily usable to do statistic analysis on large data sets. It lets you create tables with windows and time series that you can apply functions on to get the details that you need. The documentation is fairly well written. **What do you dislike about pandas python?** Some of the concepts are difficult to grasp and it does take some time to set up. You need to be familiar with mathematical and statistical concepts for some of the usage. **What problems is pandas python solving and how is that benefiting you?** Pandas is used to manipulate small to medium sized data easily. It can also be used with larger data sets in conjunction with a database. ### 44. Use python for API **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** February 22, 2019 **What do you like best about pandas python?** Simplicity and built in modules with many libraries **What do you dislike about pandas python?** Nothing as of now but may have more gui features **Recommendations to others considering pandas python:** Try it once **What problems is pandas python solving and how is that benefiting you?** Easy solutions for customers ### 45. Pandas in Python **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Small-Business (50 or fewer emp.) **Reviewed Date:** October 31, 2018 **What do you like best about pandas python?** Pandas is a great module to work with in Python. It provides you with structures and data analysis tools for python programming. **What do you dislike about pandas python?** Only some specific commands can be run through this library. You need to import various different libraries to be able to use python properly. **What problems is pandas python solving and how is that benefiting you?** Pandas provides me with basic functions that I can execute with my data sets. It helps in cleaning, wrangling and munging the data. ### 46. Pandas **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** October 18, 2018 **What do you like best about pandas python?** Easy to use with large datasets in Python, easy to setup with Anaconda **What do you dislike about pandas python?** Pandas is very versatile, there is really nothing to "not like" about Pandas **What problems is pandas python solving and how is that benefiting you?** Streamline data analysis with large datasets. ### 47. Essential Tool in a Python Data Scientist's Toolbox **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** September 25, 2018 **What do you like best about pandas python?** Pandas a great tool for manipulating and analyzing data in Python. If you've used R in the past, you'll appreciate how easy it is to transition to using pandas. **What do you dislike about pandas python?** There is somewhat of a learning curve involved in understanding the efficient vs. inefficient way of doing things. Often, the most intuitive way of writing something is orders of magnitude less efficient than the 'correct' way. **What problems is pandas python solving and how is that benefiting you?** I've used pandas in every Python-based data analysis project I've done. ### 48. What's not to like? **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Mid-Market (51-1000 emp.) **Reviewed Date:** July 24, 2018 **What do you like best about pandas python?** Pandas makes manipulating data in Python a breeze. **What do you dislike about pandas python?** Not too much at this point. Any complaints I could come up with would probably be my own fault. **Recommendations to others considering pandas python:** Do it! **What problems is pandas python solving and how is that benefiting you?** Beginning to automate processes that were previously manual. ### 49. Good package for data science and manipulation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 24, 2018 **What do you like best about pandas python?** Great for data manipulation in Python, useful for machine learning. Easy to download and use. **What do you dislike about pandas python?** Sometimes the syntax gets confusing since it seems that every package uses a different kind, but you can just look it up online. **What problems is pandas python solving and how is that benefiting you?** I've used this for data analysis on a wide variety of data sets, and also for natural language processing. ## pandas python Discussions - [What is your experience with pandas for data analysis, and what features do you find most useful?](https://www.g2.com/discussions/what-is-your-experience-with-pandas-for-data-analysis-and-what-features-do-you-find-most-useful) - 1 comment, 1 upvote - [What is pandas python used for?](https://www.g2.com/discussions/what-is-pandas-python-used-for) - 1 comment - [View pandas python pricing details and edition comparison](https://www.g2.com/products/pandas-python/reviews?page=2&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-07-20+01%3A47%3A16+-0500&secure%5Bsession_id%5D=549fa361-f329-4195-a269-94edaa2e5af2&secure%5Btoken%5D=6d03493629973a34e4ac2486e0de28420fcf742d65411f8968f4d9e975dbfb86&format=llm_user) ## pandas python Integrations - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Python](https://www.g2.com/products/python/reviews) - [PyTorch](https://www.g2.com/products/pytorch/reviews) - [Visual Studio](https://www.g2.com/products/visual-studio/reviews) ## pandas python Features **Functionality** - Language Contingency - Component Library - Unlocked Components **Management** - Framework Integration - Repository Management - Support ## Top pandas python Alternatives - [python xlrd](https://www.g2.com/products/python-xlrd/reviews) - 4.1/5.0 (19 reviews) - [Flutter](https://www.g2.com/products/flutter/reviews) - 4.6/5.0 (67 reviews) - [DevExpress](https://www.g2.com/products/devexpress/reviews) - 4.8/5.0 (112 reviews)