pandas python Reviews & Product Details

the way that pandas work with datas, and organize them Review collected by and hosted on G2.com.

I dislike the way that you need put on python script Review collected by and hosted on G2.com.

It makes it easy to work with large datasets. Review collected by and hosted on G2.com.

The pandas package is a different ecosystem from vanilla Python. It takes some investment to learn and make full use of it. Review collected by and hosted on G2.com.

I found an easy way to manage my data, just writing few lines of code. Review collected by and hosted on G2.com.

I don't like the way how I can develop graphs, should be more attractive like seaborn. Review collected by and hosted on G2.com.

Efficiently handles large data and makes data flexible and customizable Review collected by and hosted on G2.com.

Poor 3D matrix compatibility and sometimes the use of iloc and loc Review collected by and hosted on G2.com.

For doing mathematical operations

Analysis purpose Review collected by and hosted on G2.com.

Lack of more inbuilt functions.

Better documentation in detai Review collected by and hosted on G2.com.

Python panda provides instant visual data for your programming results and complex methods. Big data and customer database predictions help keep you one step ahead using customizable analytics and statistical modeling. Review collected by and hosted on G2.com.

Difficult to implement at first, although there are lots of resources online with past project examples and forum answers. Data can develop into complex feedback unless careful. The method integration could be better and some of the documentation is lacking. Review collected by and hosted on G2.com.

Its ease of installation and integration with the rest of my applications created in python is something quite useful and practical, the fact that it allows me to perform data analysis in a much simpler, more precise and secure way is something that ultimately gives it a great plus to my developments, the fact that it supports a multiple number of files and files is something of great utility when I have the data in different file formats, so since it does not have exclusive use of a single format the data entry can be much more comprehensive, its ease of use and implementation is so simple that even people who are not experts in data analysis can perform this type of task without any problem, the precision of the results is something really surprising and in fact allow making valuable decisions within the company. Review collected by and hosted on G2.com.

Its learning curve can be a bit slow at first, but nevertheless after you get used to using the application you realize that everything is really simple, easy and fast, sometimes it would get stuck, although I'm not sure if it was because of the application itself or because of my processor. Review collected by and hosted on G2.com.

This programming language has a learning curve for sure, but I really like that once you learn it, it’s pretty easy to remember. Pandas has a pretty simple language to write and code, but just like any other programming, you have to be careful about your language to get it to work properly. Review collected by and hosted on G2.com.

I dislike that it is hard to save my programming to a flash drive. I know it saves on the internet but I do like a backup. Review collected by and hosted on G2.com.

Pandas is very useful and easy to use. It gives very high-performance. It is very easy to install and setup. We can read various kinds of files using it like ssv, xls, etc. It makes Data analysis very easy and we can play around with the data set to grasp maximum knowledge from it by its various useful functions and features. Review collected by and hosted on G2.com.

Pandas python is one of the best tools but sometimes it took very long time for large datasets Review collected by and hosted on G2.com.

Pandas is a great tool to visualize, import and analyze the data in many formats. Its support for different file formats and its self-explanatory commands makes it user-friendly even for an inexperienced user. Conversions from pandas dataframe to numpy arrays is also another great feature of Pandas since not all other python libraries have Pandas support. They have a really rich and useful documentation page. Its user base is huge compared to other similar libraries. Meaning you can find answer to your many questions. Review collected by and hosted on G2.com.

Pandas isn't great at memory handling. It imports all of the files even if you need just couple of rows from a file. It also doesn't support multiprocessing and its functions only runs on CPU, not GPU. Another thing that I don't like about Pandas is that its error messages. For instance, KeyError when it can't find the specified column in the dataframe. These kinds of errors must provide human-friendly errors instead of robotic messages like 'KeyError 'some_column'. Review collected by and hosted on G2.com.