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 allows the user to analyze big data and make an educated conclusion on statistical data. (i.e data sets)

University of Minnesota - Twin Cities

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?

Pandas - What is it Useful?

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

Learn Before

Related

Learn After