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Showing posts with the label Hdf5
How To Close An Hdf5 Using Low Level Python Api?

How To Close An Hdf5 Using Low Level Python Api?

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I was able to modify the cache settings of an HDF5 file by combining both the high and low level Py… Read more How To Close An Hdf5 Using Low Level Python Api?
Saving With H5py Arrays Of Different Sizes

Saving With H5py Arrays Of Different Sizes

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I am trying to store about 3000 numpy arrays using HDF5 data format. Arrays vary in length from 530… Read more Saving With H5py Arrays Of Different Sizes
How To Speed Up Reading From Compressed Hdf5 Files

How To Speed Up Reading From Compressed Hdf5 Files

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I have several big HDF5 file stored on an SSD (lzf compressed file size is 10–15 GB, uncompressed s… Read more How To Speed Up Reading From Compressed Hdf5 Files
Unable To Save Dataframe To Hdf5 ("object Header Message Is Too Large")

Unable To Save Dataframe To Hdf5 ("object Header Message Is Too Large")

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I have a DataFrame in Pandas: In [7]: my_df Out[7]: Int64Index: 34 entries, 0 to 0 Columns: 2661 … Read more Unable To Save Dataframe To Hdf5 ("object Header Message Is Too Large")
H5py: Compound Datatypes And Scale-offset In The Compression Pipeline

H5py: Compound Datatypes And Scale-offset In The Compression Pipeline

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Using Numpy and h5py, it is possible to create ‘compound datatype’ datasets to be stored in an hdf5… Read more H5py: Compound Datatypes And Scale-offset In The Compression Pipeline
Hdfstore Start Stop Not Working

Hdfstore Start Stop Not Working

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Is it clear what I am doing wrong? I'm experimenting with pandas HDFStore.select start and stop… Read more Hdfstore Start Stop Not Working