By Andrew Collette

Gain hands-on event with HDF5 for storing clinical information in Python. This useful consultant fast will get you up to the mark at the info, top practices, and pitfalls of utilizing HDF5 to archive and percentage numerical datasets ranging in dimension from gigabytes to terabytes.

via real-world examples and useful workouts, you’ll discover themes akin to clinical datasets, hierarchically equipped teams, user-defined metadata, and interoperable records. Examples are appropriate for clients of either Python 2 and Python three. If you’re acquainted with the fundamentals of Python info research, this is often an incredible creation to HDF5.
• Get arrange with HDF5 instruments and create your first HDF5 dossier
• paintings with datasets via studying the HDF5 Dataset item
• comprehend complicated positive aspects like dataset chunking and compression
• the way to paintings with HDF5’s hierarchical constitution, utilizing teams
• Create self-describing documents via including metadata with HDF5 attributes
• reap the benefits of HDF5’s variety method to create interoperable records
• exhibit relationships between information with references, named kinds, and size scales
• observe how Python mechanisms for writing parallel code engage with HDF5

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Listing 4-7. read(100) Reading in data line by line is so common that there is a method provided to do just that. In Listing 4-8, you can see how to read in a single line, or how to loop through the entire file. 29 CHAPTER 4 ■ FILES AND I/O Listing 4-8. readline() OR >>> for line in fd1: >>> do_my_process(line) If the file is not too large, you can read the entire contents into a list, where each element is a line from the file. Listing 4-9 provides an example. Listing 4-9. readlines() >>> first_line = file_list[0] Writing a text file only requires a few minor changes.

Listing 2-16. time() 2-8. Calculating Date/Time Differences Problem You need to be able to find differences between two times and/or two dates. 17 CHAPTER 2 ■ NUMBERS, DATES, AND TIMES Solution Python provides the timedelta object as part of the datetime module. How It Works You can create a timedelta object that represents some date or time span. If you have two datetime objects, you can subtract them to get a timedelta object, as in Listing 2-17. Listing 2-17. 532031 If you want to create a fixed timedelta, say one week, that you want to add to a given datetime object, you can create it and use it as in Listing 2-18.

Solution You can apply a translation map to an entire string. This is handy if you want to accomplish several replacements. How It Works You can use the translate() method of your string to apply this mapping. While you could create the translation table manually, the string data type contains a helper function called maketrans() that creates a translation table that maps each character in the first parameter to the character at the same position in the second parameter. This is shown in Listing 1-19.

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