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pandas python Reviews & Product Details

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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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

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
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

4.6 out of 5
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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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Overall Review Sentiment for pandas pythonQuestion

Time to Implement
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>12 months
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48+ months
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SR
Silicon Engineer 2
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: Organic
What do you like best about pandas python?

Usability and Graphical representation of various data sets Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Nothing much to dislike about, It's still developing hoping to mature enough to be the best Review collected by and hosted on G2.com.

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

Post processing logs and visualizing the plots using matplotlib or pandas Review collected by and hosted on G2.com.

RS
Small-Business(50 or fewer emp.)
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Verified Current User
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Incentivized Review
What do you like best about pandas python?

It is easy to understand. It is perfect for small-sized data manipulation. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

It tends to be slower as the size of the data increases. Review collected by and hosted on G2.com.

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

I am using pandas to manipulate tabular data. It makes it easier to view the tabular data, and manipulate it how you see fit. I am performing data transformation using pandas in some of my ETL projects. Review collected by and hosted on G2.com.

KR
Data Scientist
Enterprise(> 1000 emp.)
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What do you like best about pandas python?

It has multiple functions for dataset processing Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Syntax keeps changing with updates, so that causes some confusion sometimes Review collected by and hosted on G2.com.

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

I use it in my daily data science analysis and projects Review collected by and hosted on G2.com.

NA
Software product analyst
Information Technology and Services
Mid-Market(51-1000 emp.)
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Validated Reviewer
Review source: Organic
What do you like best about pandas python?

Pandas python is very powerful library in python,Pandas has incredible features like data analysis for file's like CSV file , Excel file, json file, dollar file, .text file etc it will convert all file types into dataframe and you can do easily operation on this dataframe. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

I'm using pandas since 1 year and no dislike about pandas because it is very powerful library.but i want to say pandas only visualise the data into dataframe if we want to visualise the data then we need to use another library for this,but rather than pandas is very great Library Review collected by and hosted on G2.com.

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

In my company I will use python Pandas for processing the raw files like CSV, dollar, Excel,.text,json etc and from this file I will cleaning the data remove unnecessary data and create another file from raw file and this is very easy and save my time because of using pandas python. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care
UH
Enterprise(> 1000 emp.)
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Verified Current User
Review source: Organic Review from User Profile
What do you like best about pandas python?

- Ease of use

- Ease of Implementation

- Ease of Integration

- Versatility

- Updated library Review collected by and hosted on G2.com.

What do you dislike about pandas python?

There is no dislikes that I can think of. Review collected by and hosted on G2.com.

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

- Data Manipulation

- Data Creation

- ETL Review collected by and hosted on G2.com.

BM
Enterprise(> 1000 emp.)
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What do you like best about pandas python?

DataFrames in Pandas are useful to handle and analyse data very efficiently. Also pandas provides built-in methods to filter and sort data, handle missing data. Pandas allows/supports reading data from excel, CSV fil e etc which is another advantage. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas has few weak areas. When large datasets are provided as inputs, Pandas encounter performance issues as interacting over large DataFrames and performing operations on them is time consuming. Review collected by and hosted on G2.com.

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

Pandas offer powerful tools for analysing structured data. Pandas datasets allows integration of different structured/format datasets, which allows us to join, merge and concatenate datasets. Pandas can be integrated with Matplotlib and other data visualisation tools. Review collected by and hosted on G2.com.

AT
Senior Data Analyst
Mid-Market(51-1000 emp.)
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Incentivized Review
What do you like best about pandas python?

Pandas in Python have the ability to handle and manipulate large datasets with ease. It provides a rich set of functions and methods that make data cleaning, transformation, and analysis efficient and intuitive. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas work slowly for very large datasets, pandas data frames are mutable which means that can be changed anytime, this can be advantageous but can be confusing or wont work well if not handled properly Review collected by and hosted on G2.com.

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

Pandas simplifies the process of cleaning, transforming, and analyzing tabular and time series data. It provides intuitive data structures, like DataFrames, and powerful functions for operations such as filtering, aggregation, and joining, making data manipulation tasks more accessible and efficient.

My firm works with datsets with many null or empty columns and Pandas works best to clean it Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Enterprise(> 1000 emp.)
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Incentivized Review
What do you like best about pandas python?

Pandas is widely used for data manipulation and data analysis. We can read datasets files such as CSV, Excel and process those files. Panda has tabular data structures like dataframes, series. It has more functions for manipulation of data. Empty records are handled properly. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas consume more memory when working with larger datasets. That's why there are performance limitations. It is dependent on external libraries. Support and performance should be improved. Review collected by and hosted on G2.com.

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

Pandas is used in project for processing of Excel files for the validation. Finding out missing records has done easily. Used for getting duplicate records. Satisfied all business requirements. Review collected by and hosted on G2.com.

PR
Data Scientist
Mid-Market(51-1000 emp.)
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Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about pandas python?

Pandas can structure our data with a variety of extensions like pandas support html, xlsx,CSV extension etc. with pandas, we can also manipulate our data and analyze them Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Pandas has to work on their support center because some of problems are not solved in any other tools, like pandas os error Review collected by and hosted on G2.com.

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

Provide structure view with analytics like we can view our data mean, mode and work with large-scale data Review collected by and hosted on G2.com.

Verified User in Consulting
CC
Mid-Market(51-1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about pandas python?

-very flexyble

-a lot of support (community, chat, tutorial, courses,...)

-a great community at support to develop the library

-huge amount of projects, companies and people using it Review collected by and hosted on G2.com.

What do you dislike about pandas python?

-very complex syntax, unnecessary

-very slow, great lack of performances

-great issues when using dataframes that does not fit in memory

-new versions does not guarantee that code developed with previous versions will work properly Review collected by and hosted on G2.com.

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

I use it for:

-data management

-analytics

-ETL and ELT process Review collected by and hosted on G2.com.