pandas python Reviews & Product Details - Page 7

1. Pandas is very easy to use (since it is a python library), and there are a lot of functions to make one's code easy, short and efficient.

2. Pandas developer community and support is extremely high, and almost all problems one may ever face is already addressed and solved on StackOverflow and GitHub.

3. Pandas integrate very well with other python libraries.

4. Pandas also contain functions for plotting graphs easily. Review collected by and hosted on G2.com.

Pandas often hang or sometimes crashes when working with very large datasets (big data). Review collected by and hosted on G2.com.

Very strong library that has a lot of features to work with data. Small amount of code is enough for any kind of data process and analysis. Review collected by and hosted on G2.com.

It may be little new for the users who does not know much about python. Review collected by and hosted on G2.com.

I like pandas python a lot because this library lets me automate various tasks with a programming language that I would otherwise have to do by hand in Microsoft Excel. Now i just write programs to do the work. Review collected by and hosted on G2.com.

I dislike that the Pandas documentation is a little rough and sometimes unclear as how to use the methods. Review collected by and hosted on G2.com.

Pandas is a very easy to use library. Deal with data at minimum effort. You can clean your data, create data frames and pre process your data with this package. You can use it with Python programming language. Review collected by and hosted on G2.com.

There is not a lot to dislike. You can combine it with other libraries to make it effective. Review collected by and hosted on G2.com.

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 seperately Review collected by and hosted on G2.com.