convert_matlab73_hdf5 | HDF5 file format

by emanuele Python Version: Current License: No License

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kandi X-RAY | convert_matlab73_hdf5 Summary

convert_matlab73_hdf5 is a Python library. convert_matlab73_hdf5 has no bugs, it has no vulnerabilities and it has low support. However convert_matlab73_hdf5 build file is not available. You can download it from GitHub.

Convert Matlab v7.3 .mat files (i.e. HDF5 file format) into Python’s pickle/numpy format. This recent Matlab file format is unsupported by SciPy’s scipy.io.loadmat function. See notes here: This script opens the Matlab file in HDF5 format, recursively navigate the hierarchical structers and follows the pointers till final data, usually in the form of numbers, arrays and strings. Once a leaf is reached it heuristically converts the data as Python data types and put them in a (Python) dictionary following the HDF5 semantic structure. This code works well for MEG (magnetoencephalography) files saved from recent Matlab versions. For examples those you can find some of them here: ftp://ftp.fcdonders.nl/pub/biomag2012/.

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convert_matlab73_hdf5 has a low active ecosystem.

It has 31 star(s) with 24 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 2882 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of convert_matlab73_hdf5 is current.

Quality

convert_matlab73_hdf5 has 0 bugs and 0 code smells.

Security

convert_matlab73_hdf5 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

convert_matlab73_hdf5 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

convert_matlab73_hdf5 does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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convert_matlab73_hdf5 releases are not available. You will need to build from source code and install.

convert_matlab73_hdf5 has no build file. You will be need to create the build yourself to build the component from source.

convert_matlab73_hdf5 saves you 54 person hours of effort in developing the same functionality from scratch.

It has 141 lines of code, 5 functions and 1 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed convert_matlab73_hdf5 and discovered the below as its top functions. This is intended to give you an instant insight into convert_matlab73_hdf5 implemented functionality, and help decide if they suit your requirements.

Recursive recursive dict recursively
Recursive helper function to recursively recursively
Add a name to a dtype .
Initialize the parser .
Convert sequence into string .

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convert_matlab73_hdf5 Key Features

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convert_matlab73_hdf5 Examples and Code Snippets

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Install convert_matlab73_hdf5

You can download it from GitHub.
You can use convert_matlab73_hdf5 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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