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how to read hdf5 file in python

store = HDFStore('dataset.h5')
#import hdfStore from pandas

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how load hdf5 in python

# Reading and writing netCDF files with xarray requires scipy or the netCDF4-Python library
# to be installed (the latter is required to read/write netCDF V4 files and use the
# compression options described below).


# 1) We can load netCDF files to create a new Dataset using open_dataset():

ds_disk = xr.open_dataset("saved_on_disk.nc")

# print data information
ds_disk
    
    
# 2) We can save a Dataset to disk using the Dataset.to_netcdf() method:
ds.to_netcdf("saved_on_disk.nc")


# Datasets have a Dataset.close() method to close the associated netCDF file.
# However, it’s often cleaner to use a with statement:

# this automatically closes the dataset after use
with xr.open_dataset("saved_on_disk.nc") as ds:
     print(ds.keys())

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how to read hdf5 file in python

how load hdf5 in python

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