Learn about reading CSV files in pandas, accessing DataFrame rows and columns, selecting ranges of data, and using pandas datetime objects.
- [Instructor] In this video, we look at importing…a DataFrame into Python using the powerful pandas library.…And we'll also look at basic pandas functionality.…For a refresher, you can see my course,…Python: Data Analysis, as well as several other courses…in the Lynda LinkedIn library.…I've opened up the exercise file for this video.…The file planets.csv, which we have created…in the last video, is found in the same directory.…So we read it into a pandas DataFrame…using the pandas command read_csv.…
First, though, we import some libraries.…Here, I'm using the auto-completion feature…of the Jupyter notebook interface,…which is accessed using the tab key.…There are many other reader functions in pandas…which can read JSON, HTML, Excel,…HTF, Status, SAS, SQL and more.…
You should see the pandas manual for that.…So let's display our DataFrame in a notebook.…It looks smart and clean.…Read_csv is a very sophisticated function…that can handle subsets of tables,…missing data, errors, special interactions…for parsing dates, indices and much more.…
- Installing and setting up Python
- Importing and cleaning data
- Visualizing data
- Describing distributions and categorical variables
- Using basic statistical inference and modeling techniques
- Bayesian inference
Skill Level Intermediate
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1. Installation and Setup
2. Importing and Cleaning Data
3. Visualizing and Describing Data
4. Introduction to Statistical Inference
5. Introduction to Statistical Modeling
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