ElemWise DataFrame operations by Series

It is not possible to perform trivial operations like standardization of data e.g.

ddf = (ddf - ddf.mean(axis=0))  /  ddf.std(axis=0)

It throws an error saying

ValueError: Not all divisions are known, can't align partitions. 
Please use `set_index` or `set_partition` to set the index.

The output of the reduction operations are Series with one row and same number of columns so it shouldn’t need to know the divisions. However, would it make sense to set the divisions of the Series to be the start and end divisions of the DataFrame that was reduced?

[mrocklin]

I recommend raising a new issue with a minimal reproducible example.

https://stackoverflow.com/help/mcve

[mrocklin]

The error here is saying that “OK, you’ve given me a dask.dataframe with two partitions without any information about how those partitions are aligned. For example I don’t know how many rows are in each partition. You’ve also given me a pandas series with 10 rows (or whatever). I have no idea how to split the pandas series to align with the partitions of the dask dataframe.”