As you may know, Python is an interpreted language: When the interpreter encounters a class definition, it does the following: Creates a new namespace record of all the variable names in which the class variables and methods will be stored. Extracts all the code within the class definition as determined by its indentation and runs that code.
For simplicity of this code example, we use a text string for the time, rather than computing it directly from Python support library calls. It is easier this way to see the exact type of string formatting for the time. When using the Python datetime package, one way to write the time stamp is: We use the numpy package to read the file and parse the two-column format.
The new HDF5 file is opened and created if not already existing for writing, setting common NeXus attributes in the same command from our support library. File to create the file and root level NeXus structure. Next, we create a dataset called title to hold a title string that can appear on the default plot.
Next, we create datasets for mr and I00 using our support library. The data type of each, as represented in numpy, will be recognized by h5py and automatically converted to the proper HDF5 type in the file.
A Python dictionary of attributes is given, specifying the engineering units and other values needed by NeXus to provide a default plot of this data. Finally, we must remember to call f. File fileName, "w" point to the default data to be plotted f.
Our code opens the HDF5 we wrote above, prints the HDF5 attributes from the file, reads the two datasets, and then prints them out as columns. As simple as that. Of course, real code might add some error-handling and extracting other useful stuff from the file.
Note See that we identified each of the two datasets using HDF5 absolute path references just using the group and dataset names. Also, while coding this example, we were reminded that HDF5 is sensitive to upper or lowercase.
That is, I00 is not the same is i File fileName, "r" for item in f. It seemed to be a useful addition.
This is because the data is stored in the file in descending mr order and NeXpy has plotted it that way in order of appearance by default.The following are 9 code examples for showing how to use leslutinsduphoenix.com_file().They are extracted from open source Python projects.
You can vote up the examples you like or vote down the exmaples you don't like. This is by no means a comprehensive guide to leslutinsduphoenix.com files using Python—it's just a start, because I couldn't find good, usable documentation on the basics (read leslutinsduphoenix.com, write to leslutinsduphoenix.com).
When Python interpreter reads a source file, it will execute all the code found in it. When Python runs the "source file" as the main program, it sets the special variable (__name__) to have a value ("__main__").
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Binary storage of data inside files is commonly used used over ASCII to pack data much more densely and provide much faster access. Converting ASCII to internal binary representations of data that the computer uses takes a lot of time.
If you import the module .py) file you are creating now from another python script it will not execute the code within.
if __name__ == '__main__': If you run the script directly from the console, it will be executed. Python does not use or require a main() function.