For some reason, when I attempt to read a hdf file from S3 using the pandas.read_hdf() method, I get a FileNotFoundError when I put an s3 url. The file definite
I am trying to extract compound datasets from multiple .hd5 files. Initially, I used HD5View 2.9, which lets you open up datasets as tables and save them as .tx
Quoting from the HDF5 Hyperslab doc -: The block array determines the size of the element block selected from the dataspace. The example shows in a 2x2 datase
I have 20,000 ~1000-row dataframes, each of which has a name, in a 170GB pickle file at the moment. I'd like to write these to a file these so I can load them i
I have never seen this before, but I have a file with a 1x1 dataset where the only value is a Array[3] of 64-bit floating point. I can see this using the HDFVie
Is there a way to load/import an HDF5 file (sometimes called H5, HD5, or Hierarchical Data Format) in to Excel? I do not want to export an intermediary CSV fi
I have a 100M line csv file (actually many separate csv files) totaling 84GB. I need to convert it to a HDF5 file with a single float dataset. I used h5py in te
I have hdf5 file created using c++ application.i want to read the same hdf5 file inside browser using javascript. Hdf5 file will be download from server using
I'm going crazy here - for some reason, I can't find out how to change a dataset in h5py. I first create a file: i = h.File('C:\\Users\Bob\Desktop\blob.h5','w'