Quick Introduction to Pandas Library. In this video we will be showing some general useful functions
Pandas Library
Pandas is an open-source Python package that provides
numerous tools for data analysis. It can present data in a way
that is suitable for data analysis via its Series and DataFrame
data structures. DataFrame is two-dimensional(2-D) data
structure defined in pandas which consists of rows and columns.
Pandas Library is useful for cleaning, analyzing, and
transforming data, all in one place. Pandas is essentially a
more powerful replacement for Excel.
Using Pandas, One can do things like:
1. Easily calculate statistics about data such as finding the average,
distribution, and median of columns.
2. Use data visualization tools, such as Matplotlib, to easily create plot
bars, histograms, and more.
3. Clean your data by filtering columns by particular criteria or easily
removing values using command like filter.
4. Manipulate your data flexibly using operations like merging, joining,
reshaping, and more.
5. Read, write, and store clean data as a database, excel file, text file,
or csv file.
Installation
We will be using Jupyter Notebook Book for
demonstration for pandas general functions.
Command to install pandas
-pip install pandas