Jovan Veljanoski

Hi @BryanCutler, thank you for your response. Indeed, we can encode the string features prior to passing them to `tensorflow_io.arrow`, but I was hoping to leverage some of the `tf.feature_column`...

About the `timestamp` array in arrow.. so in vaex i believe it is stored as arrow, it is not really converted to numpy. However, since many of the datetime and...

Hi @jdcaicedo251 Vaex groupby currently supports only aggregation functions. The `.rank()` is not an aggregation function, but in this case would be applied per group. The output would be an...

Can you post a reproducible example? I can't recreate your problem like this.

This is probably (certainly) a very bad idea.. but for those with great need of using (very) custom aggregators, you can try this hack. The memory / speed will depend...

Can you open it with pandas?

Can anyone provide an example of how that file was generated? Edit: Or an example of how to generate a small such parquet file with some random data for testing...

Hi @Ben-Epstein I am not yet sure if this is a bug. I think we've discussed something similar to this in the past, but I can't find the thread at...

I think we should just not support objects.. it is a bad practice and it can lead us down a dark path (like in the past.. )

As you have written it, it is not a special case: numpy array expects all elements inside to be primitives and of the same type. What typically happens if you...