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4.6 out of 5

pandas python Reviews & Product Details - Page 8

pandas python Overview

What is pandas python?

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

pandas python Details
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Product Description

pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.


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pandas python

Description

Pandas is a powerful and widely-used open-source data analysis and manipulation library for Python. It provides data structures such as DataFrame and Series, which facilitate the handling of structured data with ease and efficiency. Pandas offers tools for data cleaning, aggregation, and transformation, making it essential for data science and engineering tasks. The library is highly optimized for performance and works seamlessly with other data-centric Python libraries like NumPy and Matplotlib.

Recent pandas python Reviews

Shaik Aleem Ur R.
SR
Shaik Aleem Ur R.Enterprise (> 1000 emp.)
5.0 out of 5
"Reviewing Panda python as user and integration"
Usability and Graphical representation of various data sets
Kush R.
KR
Kush R.Enterprise (> 1000 emp.)
4.5 out of 5
"Good data processing library"
It has multiple functions for dataset processing
Verified User
U
Verified UserEnterprise (> 1000 emp.)
5.0 out of 5
"Python Pandas"
- Ease of use - Ease of Implementation - Ease of Integration - Versatility - Updated library

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93 pandas python Reviews

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93 pandas python Reviews
4.6 out of 5
93 pandas python Reviews
4.6 out of 5

pandas python Pros and Cons

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Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
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SP
Software Engineer
Mid-Market(51-1000 emp.)
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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.

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. Review collected by and hosted on G2.com.

Asad Z.
AZ
Artificial Intelligence Research Engineer
Telecommunications
Small-Business(50 or fewer emp.)
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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.

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

Made 5G network simulator and it helped a lot Review collected by and hosted on G2.com.

Verified User in Oil & Energy
UO
Mid-Market(51-1000 emp.)
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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
UH
Enterprise(> 1000 emp.)
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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.

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 Review collected by and hosted on G2.com.

VS
Senior Manager
Computer Software
Mid-Market(51-1000 emp.)
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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.

Verified User in Financial Services
UF
Enterprise(> 1000 emp.)
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What do you like best about pandas python?

It's basically a necessary package for anyone involved in Data Science/Analytics using Python. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

There's really nothing to dislike about it. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Architecture & Planning
UA
Mid-Market(51-1000 emp.)
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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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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). Review collected by and hosted on G2.com.

Shubhra M.
SM
Lead Software Developer
Renewables & Environment
Small-Business(50 or fewer emp.)
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Review source: Organic
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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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

Have used Pandas mainly for data visualization and cleaning. Review collected by and hosted on G2.com.

Rajat W.
RW
Process Data Engineer
Enterprise(> 1000 emp.)
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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 Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Needs a lot of study to get used to it and manipulate data Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
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What do you like best about pandas python?

The built in function which helps to provide the insight Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Sometimes for complicated data, it seems bit confusing but depends person to person Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.