To play with data one of the best modules in python. One can import data a lot of file formats and then use it as required. It has a lot of functionalities which helps to get the data in the required format Review collected by and hosted on G2.com.

Needs a lot of study to get used to it and manipulate data Review collected by and hosted on G2.com.

The built in function which helps to provide the insight Review collected by and hosted on G2.com.

Sometimes for complicated data, it seems bit confusing but depends person to person Review collected by and hosted on G2.com.

Best Package for Predicting the outcomes and Visualizing data , ease implementation of functions in python Review collected by and hosted on G2.com.

It lags in terms of accuracy where Programming Languages like R gives best result in terms of accuracy Review collected by and hosted on G2.com.

It has the best, most straightforward functions for data analysis and visual representation Review collected by and hosted on G2.com.

There is ALOT to learn here. To be an expert in pandas you need months and months of training and using it Review collected by and hosted on G2.com.

Using pandas we can easily load data's and work with the datas Review collected by and hosted on G2.com.

Sometimes CSV file data files extraction is little confusable Review collected by and hosted on G2.com.

Ease of usage and wide popularity with open source support Review collected by and hosted on G2.com.

It's a little difficult to understand till you get hands on with it Review collected by and hosted on G2.com.

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.