January 2020
Beginner to intermediate
432 pages
11h 24m
English
Content preview from Python for Finance Cookbook
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How it works...
In Step 1, we imported the pandas library. Then, we used the bash command head (with an additional argument -n 5) to preview the first five rows of the CSV file. This can come in handy when we want to determine what kind of data we are dealing with, without opening a potentially large text file.
Inspecting a few rows of the dataset raised the following questions:
- What is the separator?
- Are there any special characters that need to be escaped?
- Are there any missing values and, if so, what scheme (NA, empty string, nan and so on) is used for them?
- What variables types (floats, integers, strings) are in the file? Based on that information, we can try to optimize memory usage while loading the file.
In Step 3, we loaded the ...
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