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Python: Data Analytics and Visualization
book

Python: Data Analytics and Visualization

by Phuong Vo.T.H, Martin Czygan, Ashish Kumar, Kirthi Raman
March 2017
Beginner to intermediate
866 pages
18h 4m
English
Packt Publishing
Content preview from Python: Data Analytics and Visualization

Case 2 – reading a dataset using the open method of Python

pandas is a very robust and comprehensive library to read, explore, and manipulate a dataset. But, it might not give an optimal performance with very big datasets as it reads the entire dataset, all at once, and blocks the majority of computer memory. Instead, you can try one of the Python's file handling methods—open. One can read the dataset line by line or in chunks by running a for loop over the rows and delete the chunks from the memory, once they have been processed. Let us look at some of the use case examples of the open method.

Reading a dataset line by line

As you might be aware that while reading a file using the open method, we can specify to use a particular mode that is read, ...

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Publisher Resources

ISBN: 9781788290098Supplemental ContentPurchase Link