Feat: increase data serialization speed #85
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Use pandas
to_json()
to serialize the dataframe instead of the custom serialization.On a test dataframe of length
10_000
this sped up the conversion to json by 10x.I've tested the outputs and they are consistent with the previous
get_row_data()
function for most use cases. There's a slight tweak with nested dataframes that the nested datafarme is already in json format and so doesn't have to be unpacked in JS. This makes it even easier for users as the previous behavior was confusing.Test results