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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pandas python Reviews (96)

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Altuğ T.

Electrical Engineer

Mid-Market (51-1000 emp.)

9/2/2019

"Creating scripts is getting easier"

4.5/5

Harshad S.

Product Engineer

Mid-Market (51-1000 emp.)

1/9/2020

"Feedback about Pandas"

4.5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Meliksah T.

Engineer

Enterprise (> 1000 emp.)

8/17/2019

"Great tool to load, manage, manipulate and save the data on Python"

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

abdal A.

Mid-Market (51-1000 emp.)

1/22/2020

"Pandas"

4/5

What do you like best about pandas python?

Pandas is easy use,

can handle tabular data efficiently

very fast. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

it is in memory operations so it takes more memory and needs high configuration for the operations Review collected by and hosted on G2.com.

Vandana A.

Project Manager & Web Developer

Enterprise (> 1000 emp.)

2/15/2019

"Great data manipulation tool"

4.5/5

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! Review collected by and hosted on G2.com.

What do you dislike about pandas python?

There is nothing in particular that I dislike about the tool. Review collected by and hosted on G2.com.

Verified User in Internet

Enterprise (> 1000 emp.)

9/10/2019

"Pandas python"

4.5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Vikas P.

Associate System Engineer

Small-Business (50 or fewer emp.)

5/31/2019

"Best Python Library for Data Manulplation and Analysis"

5/5

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. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

I am a huge Pandas fan, there is nothing I dislike about it. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Raghuvar P.

Big Data Developer & AWS Certified Solution Architect

Small-Business (50 or fewer emp.)

5/28/2019

"Simple, efficient and powerful data manipulation and analysis tool"

5/5

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Mid-Market (51-1000 emp.)

10/22/2019

"Easy to visualize and manipulate data."

5/5

What do you like best about pandas python?

Ease of use in implementing pandas inside of python. I prefer using in anaconda package. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

It takes some getting used to the syntax and online documentation is a bit lacking. Review collected by and hosted on G2.com.

Verified User in Telecommunications

Enterprise (> 1000 emp.)

12/31/2019

Business partner of the seller or seller's competitor, not included in G2 scores.

"Pandas Python"

5/5

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. Review collected by and hosted on G2.com.

What do you dislike about pandas python?

Visualization of the data can be improved in the new version of the pandas. Review collected by and hosted on G2.com.

Recommendations to others considering pandas python:

The best utility developed till now, very easy to use. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.