You can use  Pandas for data analysis by converting a Python list, a dictionary, or a Numpy array into a pandas data frame. Additionally, it could be used by opening some sort of file such as a CSV file. You could also use Pandas to open a database like a CSV or JSON through a URL or read fro a database. 

Things you can do with Pandas

The Pandas library is used in Python for structured data analysis and manipulation. It allows users to clean, filter, reshape, and analyze tabular datasets to perform statistical operations and draw insights.

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Pandas is a Python library for data manipulation and analysis.
Example import: `import pandas as pd`

Pandas library in Python

Pandas Documentation

The key data structure pandas supports, which is basically like a spreadsheet table with rows and named columns.

It is also called a 2 dimensional data structure

Pandas Dataframe

What does the following code do?

If Python and PIP are already installed on your computer then simply do the following in the terminal:

- pip install pandas

If not, then simply check out the Anaconda Documentation for how to set up .

https://docs.continuum.io/anaconda/install/



Installation of Pandas

What will the code output?

Pandas uses the plot() to create diagrams but Python Pyplot to actually display the digram.

To get started :
- import pandas as pd
- import matplotlib.pyplot as plt
- import seaborn as sns

Pandas Plotting

Pandas provides a large suite of functions designed for exploratory analysis and data manipulation. These include:
- Pivot Tables
- Multi-Indexing
- Merging / Concatenation
- Date-Time
- Visualization
- Sub-Sets

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