Alistair Miles

cc @hammer

I'm guessing because you initialize the ctable with zero length columns, bcolz will pick a small chunk length, which will cause slowness. Suggest to try providing the expectedlen=n argument when...

I'm not a bcolz maintainer, but it looks like somehow bcolz must be getting compiled against a different version of numpy from the one being installed at the same time...

I don't know what the problem here is, but you can run into issues when installing software from both the "defaults" and "conda-forge" channels. You could try rebuilding your conda...

For indexing into multidimensional arrays, maybe take a look at zarr (which evolved from bcolz): https://zarr.readthedocs.io/en/stable/tutorial.html#advanced-indexing On Fri, 28 Sep 2018, 21:28 MarkR80, wrote: > Fancy indexing does not appear...

This may be unrelated, but I noticed the other day that bcolz 1.1.0 is not in the anaconda default channel. On Wednesday, October 12, 2016, billcheuk [email protected] wrote: > I...

Again this may be unrelated, but on travis I was getting `cc1: error: unrecognized command line option ‘-mavx2’` when trying to install bcolz 1.1.0 via pip into a conda environment....

Hi there, Out of interest, would you like to use multiple threads or multiple processes? Also, do you want to append in parallel, or update existing rows in parallel? Cheers,...

Hi Anton, My understanding is that bcolz does not provide any kind of write synchronization. If you want to append from multiple processes then you would need to manage some...

Thanks Francesc. Yes zarr has support for synchronizing write operations to an array. Multiple threads or processes can safely append and/or update the same array, some more info here: http://zarr.readthedocs.io/en/latest/tutorial.html#parallel-computing-and-synchronization....