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Python3: read Julia JLD format

I created several JLD files from the Julia data module, and now I would like to import them into the Pandas framework. It is very easy to read and write these files in Julia, but I have not found an easy way in Python3. I checked the contents of the jld file, and it is very difficult, so there should be a package that will be read into the data framework, preserving the column types and names, etc. There is a JLD package for Python, but it does not seem to have been updated for Python2 after 8 years, so I wonder what current state is in Python for reading JLD files.

Here is what I found:

https://pypi.python.org/pypi/jld/0.0.39

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2 answers

Feather.jl:

import Feather

Feather.write("my_data_frame.feather", my_df)

pandas

import pandas

my_df = pandas.read_feather("my_data_frame.feather")
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julia.jld - "" hdf5, , , . HDF5 ( julia), - . - https://github.com/JuliaIO/HDF5.jl

. , julia , pandas. . Pandas hdf5, h5py, .

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Source: https://habr.com/ru/post/1681658/

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