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Consider a different serialization format for saving sessions #24
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Serializing everything to yaml/json is inconvenient due to large number of somewhat large DataFrames. |
dweindl
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Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
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Feb 14, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
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Feb 25, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
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that referenced
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Feb 25, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
added a commit
that referenced
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Feb 25, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
added a commit
that referenced
this issue
Feb 25, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
dweindl
added a commit
that referenced
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Feb 25, 2025
Related to #24. Serialize session data to a zipped yaml file and tsv files instead of pickling, so the data is portable across different versions of Python and other dependencies. Currently, this is still too slow. If we can reduce the amount of data without losing much, this could be become viable.
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Trying to load an old session fails with
ModuleNotFoundError: No module named 'pandas.core.indexes.numeric'
. It might be nice to have something that works across pandas versions (or across different versions of other dependencies).The text was updated successfully, but these errors were encountered: