In this video, see how to use info().
- [Instructor] Info provides a summary of the data frame…including the number of entries, the data type,…and the number of non-null entries…for each series in the data frame.…This is important because often when working…with a real data set, there will be missing data.…You want a view of this to determine…how you will handle this missing data.…Let's head back to the Jupyter notebook.…So I enter the name of the data frame.…We can see that we do not have…any missing data in this data set.…
There are 29,216 entries,…and none of them are non-null.…What is also useful about the info method…is that it also gives you the data types…for the different series of columns.…This is useful when you have to do…any comparisons or queries.…So for example, if you are querying what is a string,…then you will know that you have to use quotes,…and if you are using a comparison for an integer…or a float value, then you won't need to use those quotes.…In the next video, we will learn how to use Pandas…to do some basic data analysis.…
- Working with plots
- Boolean indexing
- String handling
- Grouping data
- Creating your own colormaps
Skill Level Intermediate
1. Technical Setup
2. Series and DataFrames
3. Data Input and Validation
4. Basic Analysis
5. Basic Plotting
9. Data Visualizations
Next steps1m 1s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.