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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

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Hi, I have a large time series dataset in which I am using vaex for the backend of a graph to dynamically downsample/upsample when zooming in and out. I am...

This gives an option to try to not use memory mapping, which might be useful for debugging, or to inspect the performance under OSX using mmap or not.

Proposal: since we are soon moving to a new major version, I propose we remove some of the deprecated methods, like `label_encode`, especially since there are methods superseding them (`ordinal_encode`...

This PR enables the subtraction a datetime64 expression from a constant np.datetime64 values. Note: the reverse works, i.e. subtracting a constant np.datetime64 value from a datetime expression works well. The...

bug
priority: high

This PR fixes several (hopefully) small issues that pop up when using string columns with vaex, now that it is primarily arrow based. List of new / updated unit tests:...

priority: high

Fixes #856 @JovanVeljanoski : could you finish this further? Basically we have to repeat this for every item in 4be22b7f102a6873f5d4d24c135c73f14a167cc2

implement a cardinality measure. Simply put: ```len(df.x.unique())/len(df)``` Notes: Cardinality By definition is just the count of different elements, so maybe the naming is not optimal.

Hello, author. Recently, I encountered an issue with vaex when using vaex dataframe.rolling. When I attempt try_rolling_obj = try_group_df.rolling(window=window, trim=False, edge='right', column=['c']), even though my data is complete without any...