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.

Seller

pandas python

Discussions

pandas python Community

Value at a Glance

Averages based on real user reviews.

Perceived Cost

$$$$$

View More Pricing Information

Top-Rated Alternatives

View All Alternatives

pandas python Integrations

(4)

Integration information sourced from real user reviews.

G2 reviews are authentic and verified.

Here's how.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

11/14/2019

"Brilliant library/tool for Data Analysis and Mining"

5/5

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. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

You might have to convert the basic data structures of Python to be compatible with pandas. Review collected by and hosted on G2.com.

Verified User in Internet

Small-Business (50 or fewer emp.)

9/22/2019

"Python pandas for Graphs"

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Dorian N.

Data Engineer

Mid-Market (51-1000 emp.)

6/28/2019

"Great data science tool for advanced analytics"

4/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Internet

Mid-Market (51-1000 emp.)

6/26/2019

"Library for data management and analytics in Python"

4/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Airlines/Aviation

Enterprise (> 1000 emp.)

10/5/2019

"Pandas make data analysis easy"

5/5

What do you like best about pandas python?

Easy to use. Very very intuitive and understandable Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Some dependencies that need to be installed seperately Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

Instead of using other expensive and proprietary software pandas is the best replacement. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Satvik P.

Software Engineer

Mid-Market (51-1000 emp.)

6/1/2019

"Data science with the pandas library"

4.5/5

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. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas is an open source library and the data structures are sometimes confusing to use with documentation. Review collected by and hosted on G2.com.

Asad Z.

Artificial Intelligence Research Engineer

Telecommunications

Small-Business (50 or fewer emp.)

8/1/2019

"Great replacement for Excel"

5/5

What do you like best about pandas python?

Ease and speed of data handling and manipulation Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Slow speed when working with element by element via for loop Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Mid-Market (51-1000 emp.)

6/18/2019

"Are you even a data scientist if you don't work with Pandas? "

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

Definitely try out pandas, especially if you're just getting into data science! Review collected by and hosted on G2.com.

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! Review collected by and hosted on G2.com.

Verified User in Higher Education

Enterprise (> 1000 emp.)

8/30/2019

"The ultimate package for data manipulation"

4/5

What do you like best about pandas python?

The applicability, portability to other modules, extremely useful in data science applications Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Some operations are bit rigid. Flexibility options are few Review collected by and hosted on G2.com.

Vikram S.

Senior Manager

Computer Software

Mid-Market (51-1000 emp.)

10/1/2018

"Data Manipulation Made Easy For Everyone"

4.5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.