July 2016
Beginner to intermediate
462 pages
9h 14m
English
Content preview from Python Data Analysis CookbookBecome 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,
Start your free trial
Learning to log for robust error checking
Notebooks are useful to keep track of what you did and what went wrong. Logging works in a similar fashion, and we can log errors and other useful information with the standard Python logging library.
For reproducible data analysis, it is good to know the modules our Python scripts import. In this recipe, I will introduce a minimal API from dautil that logs package versions of imported modules in a best effort manner.
Getting ready
In this recipe, we import NumPy and pandas, so you may need to import them. See the Configuring pandas recipe for pandas installation instructions. Installation instructions for NumPy can be found at http://docs.scipy.org/doc/numpy/user/install.html (retrieved July 2015). Alternatively, ...