The ease and the regular update which brings all the features that is required for data preprocessing. Review collected by and hosted on G2.com.
It should be made more robust to handle large dataset Review collected by and hosted on G2.com.
The pandas library has made the usage of Python for carrying out data analysis and exploration very easy and efficient.
It is easy to understand since the documentation is very well scripted. Review collected by and hosted on G2.com.
You might have to convert the basic data structures of Python to be compatible with pandas. Review collected by and hosted on G2.com.
Very easy to use, makes your job 100 times easier. Plotting graphs in real time, importing python module is just one line of code. Review collected by and hosted on G2.com.
It's a little complicated when you want to manually set your graph's x-y axis. Pandas sets it automatically so if your specifications are different from what you get from pandas result, it can be complicated. Review collected by and hosted on G2.com.
I like pandas library in python the best because it is a very easy way to load data and analyze large amounts of data in the programmatic environment. Review collected by and hosted on G2.com.
I dislike the pandas is an open source library and sometimes it is hard to understand the documentation that is written and available online. Review collected by and hosted on G2.com.
I like pandas than most because it is a very easy to use library where I can quickly set up an analytic workflow and drive results from having very easy to use data structures. Review collected by and hosted on G2.com.
I dislike that the pandas is an open source tool that does not come with the most clear documentation. Review collected by and hosted on G2.com.
Easy to use. Very very intuitive and understandable Review collected by and hosted on G2.com.
Some dependencies that need to be installed separately Review collected by and hosted on G2.com.
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.
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.
Ease and speed of data handling and manipulation Review collected by and hosted on G2.com.
Slow speed when working with element by element via for loop Review collected by and hosted on G2.com.
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.
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.
The applicability, portability to other modules, extremely useful in data science applications Review collected by and hosted on G2.com.
Some operations are bit rigid. Flexibility options are few Review collected by and hosted on G2.com.
Get practical answers, real workflows, and honest pros and cons from the G2 community or share your insights.
What is your experience with pandas for data analysis, and what features do you find most useful?
What is pandas python used for?
Pricing details for this product isn’t currently available. Visit the vendor’s website to learn more.
