Plotting with Pandas: An Introduction to Data Visualization

If you are a budding Data Scientist or Data Journalist, being able to visualize your data gives you the ability to better understand and communicate it.

Visualizing data gives you the opportunity to gain insights into the relationships between elements of that data, spot correlations and dependencies, and communicate those insights to others.

By following this downloadable book you will learn how to plot impressive graphics using Python and Pandas.

Here is what you’ll cover:

• Importing the appropriate libraries

• Getting data about the weather in London

• Produce a first Pandas visualization using the plot() method

• Find out how different types of charts are created

• Plotting simple charts: line charts, bar charts, pie charts and scatter diagrams

• Plotting statistical Pandas charts— spotting unusual events

• Box Plots — Showing the range of data

• Histograms

• Changing the number of bins to focus on the outliers — Just how often is it really, really wet?

• Pandas plot utilities — multiple plots and saving images