Python Pandas — I — Question 1

The significance of Python Pandas library is as follows:

1. It can read or write in many different data formats (integer, float, double, etc.).
2. It can calculate in all the possible ways data is organized i.e., across rows and down columns.
3. It can easily select subsets of data from bulky data sets and even combine multiple datasets together. It has functionality to find and fill missing data.
4. It allows to apply operations to independent groups within the data.
5. It supports reshaping of data into different forms.
6. It supports advanced time-series functionality.
7. It supports visualization by integrating matplotlib and seaborn etc. libraries.