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pandas python

4.5
(21)

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 review by Amar K.
Amar K.
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"Data manipulation and analysis using Pandas."

What do you like best?

Panda is quite a game changer when it comes to analyzing data with python and it is one of the most preferred and widely used tools in data mugging or data wrangling.

As pandas is an open source, free to use (under a BSD license), new algorithms and functions are introduced in pandas library whenever anyone give some contribution to it that are very useful to manipulate and analyze the data in a simpler way rather than by analyzing manually.

Pandas accept a CSV file, TSV file or SQL database files from users and create a python object with rows and columns called data frame that looks very similar to table in statistical software.

What do you dislike?

Sometimes visualization of data and is tougher in pandas.

Cleaning of data is quite simpler using pandas but the cons are dependent on the type of data which we have.

Recommendations to others considering the product

Advice for the developer is have a good knowledge of different types of files that pandas can manipulate. I will help you to ease your process by eliminating the pain of standardizing and formatting

What business problems are you solving with the product? What benefits have you realized?

Data cleaning can be done better than any other technique or library with pandas. Before this we use other services to meet the purpose. Pandas does with the ease and optimally that we saved lot of important time of ours. As data cleaning is the most essential part of data analysis we only rely on robust methods and pandas provides the same. So we trust pandas a lot!

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pandas python review by Minos K.
Minos K.
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"Best library to manage excel sheets"

What do you like best?

Pandas for python is the best way to manage the excel sheets in python.It converts the excel or csv file into data frame object which can be manipulated as required.It supports various parallel operations which really speeds up computation and is compatible with numpy operations.Suppose you want to multiply 2 columns row wise then it can be done with single line using pandas.If you want to map column values then you can create a mapping function which can be applied easily, so it is a full featured library for managing excel sheets and csv sheets easily.

What do you dislike?

I dislike nothing about pandas python.

Recommendations to others considering the product

My recommendation to others is that pandas has many direct column operations which can be performed with iterating through all rows individually and calculating.Go through its documentation before implementing anything because it might be done at an easier and faster way through any inbuilt function.

What business problems are you solving with the product? What benefits have you realized?

I used pandas python many times to pre-process the dataset that I have and I realised one of the great benefit that is speed.Using pandas parallel operations over the whole dataset will easily manipulate the preprocessing steps faster then expected.

What Python Package solution do you use?

Thanks for letting us know!
pandas python review by Priyanka S.
Priyanka S.
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"Easy to use data structures and high performance data analysis tool for python programming language"

What do you like best?

Pandas is bundles with the best programming features and the features that attract me to work most with it are :

1 loading data and using functions in the most convineint way

2 mapping

3 graph plotting made easy

4 handling statistics

5 aggregation

6 masking

7 handling missing values

What do you dislike?

Pandas does not persist data as it is not a data store like RDBMS. It works with data that fit in memory.

Recommendations to others considering the product

I would recommend all the budding developers ,engineers and professionals to explore pandas to the maximum to extract the maximum benefit from one among the best technologies benefitting various fields.

What business problems are you solving with the product? What benefits have you realized?

Processing an image is a tedious task without using a library like pandas.

Pandas is a complete package in itself providing various feature to solve the day to days problems in the most convenient way.

pandas python review by Vikram S.
Vikram S.
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"Data Manipulation Made Easy For Everyone"

What do you like best?

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.

What do you dislike?

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.

Recommendations to others considering the product

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.

What business problems are you solving with the product? What benefits have you realized?

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.

pandas python review by User
User
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"The most used library for managing table like data in python"

What do you like best?

Pandas is the most common library in python when you have to deal with table like data. This makes of pandas a library with a lot of help available around the web. I like the way of importing data to pandas from text format, spreadsheets, csv, tsv, etc.

I also like the way to select rows and columns and to operate with them. Although it is a little bit confusing at the beginning, once you get used to the way to manage data with pandas DataFrames, it is quite easy to play with data.

What do you dislike?

If you are not careful managing data with pandas, the internal structures of pandas can use a high amount of memory. This is because pandas uses, by default, the object type, which requires a lot of memory. To solve this issue, you have to convert numeric types to int types. Then, you can reduce space by more than 50%.

Recommendations to others considering the product

I recommend to read tutorials about how to reduce the memory usage with pandas. I also recommend to see several tutorials about how to manage rows and columns.

What business problems are you solving with the product? What benefits have you realized?

I use pandas for importing data from other sources such as spreadsheets or csv files. Then, I can operate with that data and find patterns among the data. Pandas allow me to perform several operations with very few instructions.

Moreover, some scientific libraries require to use as input pandas DataFrames. So, I have to convert my data to pandas DataFrames in order to use such libraries.

pandas python review by User in Architecture & Planning
User in Architecture & Planning
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"Best for manipulating and machine learning with data"

What do you like best?

Pandas Dataframe structure makes it very simple to arrange and adjust data. When used with SciPy it makes Machine Learning an easy process.

What do you dislike?

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.

Recommendations to others considering the product

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.

What business problems are you solving with the product? What benefits have you realized?

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).

pandas python review by Shubhra M.
Shubhra M.
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"A must know library for Data Scientists who plan to work in Python"

What do you like best?

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.

What do you dislike?

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.

What business problems are you solving with the product? What benefits have you realized?

Have used Pandas mainly for data visualization and cleaning.

pandas python review by Rajat W.
Rajat W.
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"Great way to manipulate data"

What do you like best?

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

What do you dislike?

Needs a lot of study to get used to it and manipulate data

What business problems are you solving with the product? What benefits have you realized?

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.

pandas python review by Morgan S.
Morgan S.
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"Easy to work with and fast!"

What do you like best?

I like the flexibility in the use cases for my job. Many times I have to pivot and change on demand codes based on cross functional feedback.

What do you dislike?

Color schemes that are more dark. Overall the product is great and we use it multiple times daily.

What business problems are you solving with the product? What benefits have you realized?

This allows me to manipulated large data frames and run statistical analysis. This provides process improvement to talk a manual excel report into a few minutes of work.

pandas python review by User
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"Good library for science & research"

What do you like best?

Pandas is a python library that is easily usable to do statistic analysis on large data sets. It lets you create tables with windows and time series that you can apply functions on to get the details that you need. The documentation is fairly well written.

What do you dislike?

Some of the concepts are difficult to grasp and it does take some time to set up. You need to be familiar with mathematical and statistical concepts for some of the usage.

What business problems are you solving with the product? What benefits have you realized?

Pandas is used to manipulate small to medium sized data easily. It can also be used with larger data sets in conjunction with a database.

pandas python review by Vandana A.
Vandana A.
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"Great data manipulation tool"

What do you like best?

It’s great how there are so many libraries that the user can utilize for effective data manipulation. Great for company usage!

What do you dislike?

There is nothing in particular that I dislike about the tool.

What business problems are you solving with the product? What benefits have you realized?

Analyzing google trends data was very useful with tool to rearrange data in different ways for analysis.

pandas python review by Nikhil G.
Nikhil G.
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"Good Package for Predictive Analytics parts in Python"

What do you like best?

Best Package for Predicting the outcomes and Visualizing data , ease implementation of functions in python

What do you dislike?

It lags in terms of accuracy where Programming Languages like R gives best result in terms of accuracy

Recommendations to others considering the product

R Programming

What business problems are you solving with the product? What benefits have you realized?

We have done Time Series Analysis on retail data set using pandas.

pandas python review by User
User
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"Pandas in Python"

What do you like best?

Pandas library in python let's you work with your data in a data frame. It let's you play with the data and is an important library for data wrangling and data munging.

What do you dislike?

It can only deal majorly with data frames. You'll have to import other libraries like numpy for any kind of arethmetic. However, it gets your basic work done.

What business problems are you solving with the product? What benefits have you realized?

I've worked on many projects using pandas. It is almost in every Notebook and helps me clean my data in any project.

pandas python review by User
User
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"Essential Tool in a Python Data Scientist's Toolbox"

What do you like best?

Pandas a great tool for manipulating and analyzing data in Python. If you've used R in the past, you'll appreciate how easy it is to transition to using pandas.

What do you dislike?

There is somewhat of a learning curve involved in understanding the efficient vs. inefficient way of doing things. Often, the most intuitive way of writing something is orders of magnitude less efficient than the 'correct' way.

What business problems are you solving with the product? What benefits have you realized?

I've used pandas in every Python-based data analysis project I've done.

pandas python review by User in Internet
User in Internet
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"What's not to like?"

What do you like best?

Pandas makes manipulating data in Python a breeze.

What do you dislike?

Not too much at this point. Any complaints I could come up with would probably be my own fault.

Recommendations to others considering the product

Do it!

What business problems are you solving with the product? What benefits have you realized?

Beginning to automate processes that were previously manual.

pandas python review by User in Higher Education
User in Higher Education
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"Pandas"

What do you like best?

Easy to use with large datasets in Python, easy to setup with Anaconda

What do you dislike?

Pandas is very versatile, there is really nothing to "not like" about Pandas

What business problems are you solving with the product? What benefits have you realized?

Streamline data analysis with large datasets.

pandas python review by User
User
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"Pandas in Python"

What do you like best?

Pandas is a great module to work with in Python. It provides you with structures and data analysis tools for python programming.

What do you dislike?

Only some specific commands can be run through this library. You need to import various different libraries to be able to use python properly.

What business problems are you solving with the product? What benefits have you realized?

Pandas provides me with basic functions that I can execute with my data sets. It helps in cleaning, wrangling and munging the data.

pandas python review by User
User
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"Good package for data science and manipulation"

What do you like best?

Great for data manipulation in Python, useful for machine learning. Easy to download and use.

What do you dislike?

Sometimes the syntax gets confusing since it seems that every package uses a different kind, but you can just look it up online.

What business problems are you solving with the product? What benefits have you realized?

I've used this for data analysis on a wide variety of data sets, and also for natural language processing.

pandas python review by User
User
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"Pandas"

What do you like best?

Ease of usage and wide popularity with open source support

What do you dislike?

It's a little difficult to understand till you get hands on with it

What business problems are you solving with the product? What benefits have you realized?

Graph analysis on large data sets

pandas python review by User
User
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"Use python for API"

What do you like best?

Simplicity and built in modules with many libraries

What do you dislike?

Nothing as of now but may have more gui features

Recommendations to others considering the product

Try it once

What business problems are you solving with the product? What benefits have you realized?

Easy solutions for customers

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