You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
https://github.com/h2oai/datatable
It has higher performance reading and manipulating big csv data than pandas/polars/modin. But I can't walk this datatable.frame type.
The text was updated successfully, but these errors were encountered:
Hi @plusmid, currently, pygwalker does not utilize the pandas API for dataframe-related computations.
When you pass a dataframe to pygwalker, it converts it into either a duckdb format or an in-browser memory JavaScript array. Therefore, the performance remains consistent across various dataframes.
We are exploring more native computation methods using the dataframe API. However, it appears that in most scenarios, using duckDB or integrating pygwalker with Snowflake yields quite good performance.
https://github.com/h2oai/datatable
It has higher performance reading and manipulating big csv data than pandas/polars/modin. But I can't walk this datatable.frame type.
The text was updated successfully, but these errors were encountered: