• Home
  • Features
  • Pricing
  • Docs
  • Announcements
  • Sign In

mrocklin / dask / 2707 / 7
91%
master: 94%

Build:
Build:
LAST BUILD BRANCH: astype-passthrough
DEFAULT BRANCH: master
Ran 08 Mar 2019 05:17PM UTC
Files 108
Run time 4s
Badge
Embed ▾
README BADGES
x

If you need to use a raster PNG badge, change the '.svg' to '.png' in the link

Markdown

Textile

RDoc

HTML

Rst

07 Mar 2019 05:30PM UTC coverage: 91.097%. First build
PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true'

push

travis-ci

mrocklin
Add support in read_csv for parameter skiprows for other iterables (#4560)

- The dask.dataframe.read_csv function now mimics more the behavior of
the pandas read_csv function
- The pandas read_csv function allows the
skiprows parameter to be of type range or set
- Also case when not assigning skiprows is now explicit

Test it out for yourself:

```python
import dask.dataframe as dd
import pandas as pd
df = pd.read_csv("file.csv", skiprows=range(18)) # this works anyway
df = dd.read_csv("file.csv", skiprows=range(18)) # this works only after fix
```

17200 of 18881 relevant lines covered (91.1%)

0.91 hits per line

Source Files on job 2707.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')
  • Tree
  • List 0
  • Changed 0
  • Source Changed 0
  • Coverage Changed 0
Coverage ∆ File Lines Relevant Covered Missed Hits/Line
  • Back to Build 2434
  • Travis Job 2707.7
  • 8d4e165b on github
STATUS · Troubleshooting · Open an Issue · Sales · Support · CAREERS · ENTERPRISE · START FREE · SCHEDULE DEMO
ANNOUNCEMENTS · TWITTER · TOS & SLA · Supported CI Services · What's a CI service? · Automated Testing

© 2026 Coveralls, Inc