Pandas library in python let's you work with your data in a data frame. It let's you play with the data and is an important library for data wrangling and data munging. Review collected by and hosted on G2.com.

It can only deal majorly with data frames. You'll have to import other libraries like numpy for any kind of arethmetic. However, it gets your basic work done. Review collected by and hosted on G2.com.

I like the flexibility in the use cases for my job. Many times I have to pivot and change on demand codes based on cross functional feedback. Review collected by and hosted on G2.com.

Color schemes that are more dark. Overall the product is great and we use it multiple times daily. Review collected by and hosted on G2.com.

Pandas is a python library that is easily usable to do statistic analysis on large data sets. It lets you create tables with windows and time series that you can apply functions on to get the details that you need. The documentation is fairly well written. Review collected by and hosted on G2.com.

Some of the concepts are difficult to grasp and it does take some time to set up. You need to be familiar with mathematical and statistical concepts for some of the usage. Review collected by and hosted on G2.com.

Simplicity and built in modules with many libraries Review collected by and hosted on G2.com.

Nothing as of now but may have more gui features Review collected by and hosted on G2.com.

Pandas is a great module to work with in Python. It provides you with structures and data analysis tools for python programming. Review collected by and hosted on G2.com.

Only some specific commands can be run through this library. You need to import various different libraries to be able to use python properly. Review collected by and hosted on G2.com.

Easy to use with large datasets in Python, easy to setup with Anaconda Review collected by and hosted on G2.com.

Pandas is very versatile, there is really nothing to "not like" about Pandas Review collected by and hosted on G2.com.

Pandas a great tool for manipulating and analyzing data in Python. If you've used R in the past, you'll appreciate how easy it is to transition to using pandas. Review collected by and hosted on G2.com.

There is somewhat of a learning curve involved in understanding the efficient vs. inefficient way of doing things. Often, the most intuitive way of writing something is orders of magnitude less efficient than the 'correct' way. Review collected by and hosted on G2.com.

Pandas makes manipulating data in Python a breeze. Review collected by and hosted on G2.com.

Not too much at this point. Any complaints I could come up with would probably be my own fault. Review collected by and hosted on G2.com.

Great for data manipulation in Python, useful for machine learning. Easy to download and use. Review collected by and hosted on G2.com.

Sometimes the syntax gets confusing since it seems that every package uses a different kind, but you can just look it up online. Review collected by and hosted on G2.com.