The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. I want to install hdf5 library in a local directory on a Centos cluster. My MKLROOT is /opt/intel/compilersandlibraries2020.2.254/linux/mkl My hdf5 library is hdf5.
CMake links HDF5 into your C, C++, or Fortran program with just two lines in CMakeLists.txt.If experiencing trouble finding HDF5 with CMake, try ourFindHDF5.cmake,which is more up to date than the FindHDF5.cmake included with CMake.An example CMake for writing network data to HDF5 in C:CMakeLists.txt.
Windows Subsystem for Linux users should ensure “/etc/wsl.conf” includes the following to avoid linking native Windows HDF5 from WSL:
We show an example for C and another example for Fortran.“HL” refers to the high-level HDF5 interface that is more convenient and thus commonly used.
Note: if terminal has the Conda environment loaded and you keep getting the Conda HDF5 library, do first:
before running the CMake configure commadn.
HDF5 C example
Install Hdf5 Library
The HDF5 syntax is quite similar (and simpler) for Fortran.See the hdf5 directory ofFortran 2018 examplesfor more.
HDF5 compiler macros
Install Hdf5 Library Linux
As an alternative (or companion to) CMake, one can use compiler macros for HDF5.HDF group provides compiler macroh5cclinking the needed HDF5 libraries upon installing libhdf5-dev:
h5cc: Ch5c++: C++h5fc: Fortran