pandas python Reviews & Product Details

It is an easy to use big data handler. I recommend it to all the data mining students and pros... Review collected by and hosted on G2.com.

Sometimes it works slower due to high memory consumption Review collected by and hosted on G2.com.

Pandas requires less scripting as it as various inbuilt functions.

It has an excellent ways for representating the data Review collected by and hosted on G2.com.

Pandas is very complex to learn and it has very poor documentation and very difficult syntax Review collected by and hosted on G2.com.

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 with minimum effort. You can clean your data, create data frames, and preprocess your data with this package. You can use it with the Python programming language. Review collected by and hosted on G2.com.

<p>There is not a lot to dislike. You can combine it with other libraries to make it effective.</p> 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.