Book Image

Learning pandas - Second Edition

By : Michael Heydt
Book Image

Learning pandas - Second Edition

By: Michael Heydt

Overview of this book

You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance. With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.
Table of Contents (16 chapters)

Plotting volume-series data

Volume data can be plotted using bar charts. We first need to get the volume data, which can be done using the pivot_tickers_to_columns() function created earlier:

We can now use this data to plot a bar chart. The following plots the volume for MSFT:

A common type of financial graph plots a stock volume relative to its closing price. The following sample creates this type of visualization: