Skip to Content
Mastering Python for Finance - Second Edition
book

Mastering Python for Finance - Second Edition

by James Ma Weiming
April 2019
Intermediate to advanced
426 pages
11h 13m
English
Packt Publishing
Content preview from Mastering Python for Finance - Second Edition

Plotting a price and volume chart

When no parameters are supplied to the plot() command, a line graph is plotted using all columns of the target DataFrame, on the same graph. This produces a cluttered view which does not give us much information. To effectively extract insights from this data, we can plot a financial graph of a stock with daily closing price relative to its trading volume. To facilitate this, type the following command:

In [ ]:    prices = df['Last']    volumes = df['Volume']

The preceding command stores our data of interest into the closing_prices and volumes variables, respectively. We can peek at the top and bottom rows of the resulting pandas Series data type with the head() and tail() commands:

In [ ]: prices.head() ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Python for Finance - Second Edition

Python for Finance - Second Edition

Yuxing Yan
Python for Finance

Python for Finance

Yves Hilpisch

Publisher Resources

ISBN: 9781789346466Supplemental Content