10779
53%

Ran 14 Feb 2019 04:01PM UTC

Jobs 2

Files 108

Run time 311min

Badge

Embed ▾

pending completion

Build # 10779

Build Type

push

travis-ci

Committed by

web-flow

Commit Message

Avoid groupby.agg(callable) in groupby-var (#4482)

This has two benefits

1.  It's much faster the following benchmark shows a 5x improvement
2.  It doesn't require the pandas-like container to implement
    groupby.agg(callable), which helps cudf

Benchmark
---------

I get five-ish seconds for this on master
And less than one second on this branch

```
from time import time
import dask
df = dask.datasets.timeseries(dtypes={'id': int, 'data': float}).persist()

start = time()
for i in range(3):
    df.groupby('id').data.std().compute()
stop = time()

print(stop - start)`
```

Run Details

17131 of 18817 relevant lines covered (91.04%)

1.82 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
3	10779.3 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')	14 Feb 2019 04:01PM UTC	0	91.04	Travis Job 10779.3
7	10779.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')	14 Feb 2019 04:33PM UTC	0	91.04	Travis Job 10779.7

Source Files on build 10779

Detailed source file information is not available for this build.

dask / dask / 10779
53%

README BADGES
x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 10779

dask / dask / 10779 53%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Jobs

Source Files on build 10779

dask / dask / 10779
53%

README BADGES
x