In : from multiprocessing import Pool
In : p = Pool()
In : %timeit -n 1 -r 1 values = compute(trip.medallion.distinct())
1 loops, best of 1: 1min per loop
In : %timeit -n 1 -r 1 values = compute(trip.medallion.distinct(), map=p.map)
1 loops, best of 1: 16.2 s per loop
In : %timeit -n 1 -r 1 values = compute(trip.passenger_count.distinct())
1 loops, best of 1: 3.33 s per loop
In : %timeit -n 1 -r 1 values = compute(trip.passenger_count.distinct(), map=p.map)
1 loops, best of 1: 1.01 s per loop
around this issue I have a dataframe that has a few columns with floats and a few columns that are string. All columns have nan. The string columns have either strings or nan which appear to have a type float. When I try to 'df.to_hdf' to store the dataframe, I get the following error: , You can fill each column with the appropriate missing value. E.g.
it fixes the issue I can give some part of the picture, although others were more involved. Blaze was both an umbrella project for incubating data-engineering ideas into released oss packages, and a package itself focussing on symbolic manipulations of data-frames and translating these into various backend execution engines, particularly database services. Critically, Blaze wanted to be the (start of a) solution for a very broad range of problems! In particular, the translation layer became very large and hard to maintain and by trying to cater to all, limited the range of operations that the symbolic layer could offer. In terms of an umbrella project, Blaze was a success. Many ideas that started in Blaze percolated into the ecosystem. Probably the most prominent single project to come out of Blaze is Dask, which, while originally planned as an execution layer for Blaze, implements an even larger API of data-frame operations, as well as other high-level collections and arbitrary graph manipulation. Even fully symbolic optimisations exist in Dask, though this is perhaps not as complete. Other Anaconda-stable projects such as numba and bokeh were influenced by the Blaze effort, but I'll not talk about them here.
Not able to get PyData Berlin 2018 Rasa Chatbot ipynb working