Informatics Practices
Answer
The significance of Python Pandas library is as follows:
- It can read or write in many different data formats (integer, float, double, etc.).
- It can calculate in all the possible ways data is organized i.e., across rows and down columns.
- 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.
- It allows to apply operations to independent groups within the data.
- It supports reshaping of data into different forms.
- It supports advanced time-series functionality.
- It supports visualization by integrating matplotlib and seaborn etc. libraries.
Related Questions
Assertion. .loc() is a label based data selecting method to select a specific row(s) or column(s) which we want to select.
Reason. .iloc() can not be used with default indices if customized indices are provided.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion. DataFrame has both a row and column index.
Reason. A DataFrame is a two-dimensional labelled data structure like a table of MySQL.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Name some common data structures of Python's Pandas library.
How is a Series object different from and similar to ndarrays ? Support your answer with examples.