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Python for Data
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Python for Data
Unit 5 · Getting Data In
Files, headers, missing markers and the types they arrive as.
1
CSV Options That Matter
Separators, headers and the arguments you reach for on a real file.
2
Missing Markers on Load
Files write missing values in a dozen ways; na_values names yours.
3
Selecting What You Need
Read the columns you want, and stop carrying the ones you do not.
4
Reading JSON Data
A list of records is a table waiting to happen.
5
Writing Data Out
Saving a result, and the index that gets written with it.
6
Checking What You Loaded
Four questions to ask a new table before you trust a number from it.
