The features of this library to handle the data if fabulous and with easy function read and write the data and also searching is also good in the data frame converted by panda. Review collected by and hosted on G2.com.
The speed of all operations is a bit slower and with millions o data reading this took lots of time but with the Modin package, we can increase the operational speeds by 3 times. Review collected by and hosted on G2.com.
The best thing i like about Pandas is how fast and easily it handles huge set of Data in and organize it according to our need. also coding in panda is very fast, I can do a lot of work in very little time. Review collected by and hosted on G2.com.
there is not much to dislike about pandas except it has a very complex syntax. and it is a little difficult to learn for beginners. Review collected by and hosted on G2.com.
Ready optimized implementations for basic statistical calculations like central tendancy measures and quantiles. Review collected by and hosted on G2.com.
Though the library is excellent, it is still not optimized enough to be used on big data. 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 akes 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.
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.