pandas python Reviews & Product Details

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.

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Eduardo Javier C.

Mid-Market (51-1000 emp.)

9/14/2021

"Amazing way to structure data"

5/5

What do you like best about pandas python?

I found an easy way to manage my data, just writing few lines of code. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

I don't like the way how I can develop graphs, should be more attractive like seaborn. Review collected by and hosted on G2.com.

Verified User in Program Development

Small-Business (50 or fewer emp.)

10/19/2021

"The best of pandas"

5/5

What do you like best about pandas python?

Efficiently handles large data and akes data flexible and customizable Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Poor 3D matrix compatibility and sometimes the use of iloc and loc Review collected by and hosted on G2.com.

Verified User in Banking

Enterprise (> 1000 emp.)

10/20/2021

"Pandas"

4/5

What do you like best about pandas python?

For doing mathematical operations

Analysis purpose Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Lack of more inbuilt functions.

Better documentation in detai Review collected by and hosted on G2.com.

Charles P.

Small-Business (50 or fewer emp.)

10/12/2020

"Add graphic and statistical data for any Python program"

4.5/5

What do you like best about pandas python?

Python panda provides instant visual data for your programming results and complex methods.

Big data and customer database predictions help keep you one step ahead using customizable analytics and statistical modeling. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Difficult to implement at first, although there are lots of resources online with past project examples and forum answers.

Data can develop into complex feedback unless careful. The method integration could be better and some of the documentation is lacking. Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

Data sets and complex multi-functions need work and clear visuals. The documentation could offer clearer examples with an improved help function. Review collected by and hosted on G2.com.

What problems is pandas python solving and how is that benefiting you?

Modelling statistical data, panda gives you the edge of competitors by adding graphs and statistical details to formula driven methods.

This is great for in-game development and any science or mathematical based function.

Algorithm precision, website analytics or even data modelling can be visualised in diagram patterned detail with customisable options. Review collected by and hosted on G2.com.

Bpagadala P.

Small-Business (50 or fewer emp.)

11/29/2020

"Its ease of integration with the rest of my applications created in python is very practical"

4/5

What do you like best about pandas python?

Its ease of installation and integration with the rest of my applications created in python is something quite useful and practical, the fact that it allows me to perform data analysis in a much simpler, more precise and secure way is something that ultimately gives it A great plus to my developments, the fact that it supports a multiple number of files and files is something of great utility when I have the data in different file formats, so since it does not have exclusive use of a single format the data entry It can be much more comprehensive, its ease of use and implementation is so simple that even people who are not experts in data analysis can perform this type of task without any problem, the precision of the results is something really surprising and in fact allow making valuable decisions within the company. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Its learning curve can be a bit slow at first, but nevertheless after you get used to using the application you realize that everything is really simple, easy and fast, sometimes it would get stuck, although I'm not sure if it was because of the application itself or because of my processor. Review collected by and hosted on G2.com.

What problems is pandas python solving and how is that benefiting you?

It has been a very helpful option when I want to implement statistical data analysis options to my python developments in a much simpler and more precise way, which allows me to extend the type in a much simpler and more practical way of applications that I usually develop, allowing me to expand my professional services to another level. Review collected by and hosted on G2.com.

Chloe' H.

Graduate Research Assistant

Small-Business (50 or fewer emp.)

10/13/2020

"Definitely a learning curve, but worth it if time"

4/5

What do you like best about pandas python?

This programming language has a learning curve for sure, but I really like that once you learn it, it’s pretty easy to remember. Pandas has a pretty simple language to write and code, but just like any other programming, you have to be careful about your language to get it to work properly. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

I dislike that it is hard to save my programming to a flash drive. I know it save son the internet but I do like a backup. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

4/28/2020

"Powerful python package for data analysis"

4.5/5

What do you like best about pandas python?

Pandas is very useful and easy to use. It gives very high-performance. It is very easy to install and setup. We can read various kinds of files using it like ssv, xls, etc. It makes Data analysis very easy and we can play around with the data set to grasp maximum knowledge from it by its various useful functions and features. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas python is one of the best tools but sometimes it took very long time for large datasets Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

Highly recommended to every person who has to work on the dataset and to analyze it. It is the best tool I know for data manipulations and analysis. Review collected by and hosted on G2.com.

What problems is pandas python solving and how is that benefiting you?

I use pandas for analyzing various datasets and to do data analysis in the best possible ways at my organization to get the best-optimized results. I also use matplotlib along with pandas to visualize the data very easily. Review collected by and hosted on G2.com.

Mehmed Buğrahan D.

Machine Learning Engineer

Small-Business (50 or fewer emp.)

1/6/2020

"Easy to use data import and analyzing tool"

3.5/5

What do you like best about pandas python?

Pandas is a great tool to visualize, import and analyze the data in many formats. Its support for different file formats and its self-explanatory commands makes it user-friendly even for an inexperienced user. Conversions from pandas dataframe to numpy arrays is also another great feature of Pandas since not all other python libraries have Pandas support. They have a really rich and useful documentation page. Its user base is huge compared to other similar libraries. Meaning you can find answer to your many questions. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas isn't great at memory handling. It imports all of the files even if you need just couple of rows from a file. It also doesn't support multiprocessing and its functions only runs on CPU, not GPU. Another thing that I don't like about Pandas is that its error messages. For instance, KeyError when it can't find the specified column in the dataframe. These kinds of errors must provide human-friendly errors instead of robotic messages like 'KeyError 'some_column'. Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

I would highly recommend Pandas, especially for inexperienced users. It has a great documentation page and it is used by many people, meaning you can find answers to your many questions about the library. But keep in mind that its lack of support for multiprocessing makes it slower compared to some other libraries. Review collected by and hosted on G2.com.

What problems is pandas python solving and how is that benefiting you?

I like to use Pandas in order to visualize and analyze the file before I do some memory heavy processes. This helps me to reduce the time by helping me to decide what I need to do beforehand. Review collected by and hosted on G2.com.