Working with CSV files in Pandas
CSV is the most common format for exchanging data. Learn how to use it, better than ever.
What you should know
Course Content
Course length
1.5 hours
Number of lessons
1
Training materials
1 Jupyter notebook
Coding exercises
3
About the Course
CSV is the most common format for data. In this class, we’ll learn about the “read_csv” function, and the many ways we can use it to read data into our Pandas data frames. You’ll come out able to to wrangle CSV data, no matter its weird issues, into a data frame.
What you’ll learn
- How to use “read_csv”
- How to specify column names, both from the file and on your own
- How to specify dtypes as needed
- How to specify time-and-date dtypes
- How to select particular columns
- How to set one or more columns to be the data frame’s index
Instructor
This course, like all others on LernerPython.com, is taught by Reuven Lerner.
Pricing
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- Everything in Lerner Python Level
- Unlimited access to NumPy, Pandas, and SQL courses
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