## Customizing Plots

Data visualizations are meant to be attractive and intuitive. The quality of visualizations lies in the look and feel of the resulting graphs as well as the accuracy of data. Python has many capabilities for creating intuitive visualizations such as

## Live Graphs

Live graphs are used to present data that changes with time. Matplotlib has a class for creating the live visualizations through the animation class. Live graphs are usually applicable to data such as temperature and stock market prices. In this

## Network Graphs With NextworkX

Network graphs are used to convey data that is related in some way. A graph is made up of nodes and edges where the nodes represents entities and the links/edges represents the relationship among the nodes. Nodes are represented by

## Treemaps With Squarify

Treemaps are data visualization tool that displays data as rectangles within a graph. The area of each rectangle is equivalent to the value of the item represented in that rectangle. In this post we are going to learn about how

## Mathematical Expressions

Mathematical expression is a finite combination of symbols that is well-formed according to rules that depend on the context. Mathematical expressions and notations provides a fundamental ways of expressing things in a simple and concise way. Python provides an easy

## Matplotlib and Images

Image processing in data analysis is very important task in finding patterns and manipulating images. Images can be treated as a sequence of array when  dealing with images in NumPy. We can easily read images from external sources and manipulate

## Saving visualizations

Ability to save and store data visualizations in different format is very important from both business and technical perspective. Python provides the capability of saving the visualization in formats such as images, PDF and power point. In this post we

## Subplot

Suplot is an important tool for combining several plots into a single view. To use subplots in matplotlib we simply need to use matplotlib.pyplot.subplots function which helps in creating subplots layout. Subplots helps in creating different graphs and charts that

## 3D Plot

Three-dimensional plotting also referred to as 3D plot is the graphical representation of items using three axes usually X,Y and Z axes. 3D plot allows us to compare three characteristics of a data set. The most common plotting are the