Here is the situation: I have data saved into pandas HDF5 files. Some data is compressed using lzo and some using blosc:zstd. Under RHEL-7, I was able to read both types of files. Then, I was ...

I have a very weird error when creating a hdf5 file with pandas in table mode. I create the file with the store.put() function: storage_file.put(some_name, current_dataset.meta_data, format="...

Currently I am working on a problem which involves diagonalizing a matrix to get the eigen values and eigen vector. But now I want to expand the problem to a dimension of 200,000 x 200,000 in size. I ...

I had had some success reading hdf5 files generated from MSC/Nastran using both h5py and tables. Now I’m trying to do the same with a file generated by Simcenter/Nastran and I’m having trouble because ...

I am using PyInstaller to build an executable of a python script containing PyTables. Since I've updated to the newest version, building the executable fails. The error reads: Error: RuntimeError: ...

There are a number of answers on this website detailing how one can ignore specific warnings in python (either by category or by providing a regex to match a warning message). However, none of these ...

$ python -m pip install tables stops with Error: compiling Cython file Environment (I am within a virtual environment, created with pyenv. ) Only few packages installed atm Package Version ------...

I am currently maintaining a large data file (over 10G) that is updated daily on a Linux server. The data is in HDF5 format with groups and datasets. Now I have a local Windows client that needs to ...

I am trying to read a hdf5 file using Pandas, but getting this error: ValueError: invalid literal for int() with base 10: '5,3,2' I am only calling data = pd.read_hdf(path), so I have like no idea ...

I'd like to manipulate a set of data in an hdf5 file and be able to decide, before closing the file, whether to discard every changes or not. From the doc of File drivers: HDF5 ships with a variety ...

I'm finding it a lot harder to read in h5 data with pytables than I thought I would. I can use the software hdfview to see indeed my h5 file is essentially a few 2d tables. This isn't useful to the ...

I'm trying to install pytables on an M1 Mac (MacOS 12.6.1, python 3.11 and hdf5 1.12.2 installed using homebrew). Following the advice in https://stackoverflow.com/a/74276925 I did the following: pip ...

loadstep_row_data = loadsteps_table.row for i in range(1, num_loadsteps_to_append): loadstep_row_data ['loadStepID'] = i+1 loadstep_row_data ['profileID'] = i+1 ...

I have a dataframe that I want to save in the appendable format to a hdf5 file. The dataframe looks like this: column1 0 [0, 1, 2, 3, 4] And the code that replicates the issue is: import pandas ...

I have a 11 columns x 13,470,621 rows pytable. The first column of the table contains a unique identifier to each row (this identifier is always only present once in the table). This is how I select ...