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dask / dask / 10938 / 3
53%
master: 53%

Build:
DEFAULT BRANCH: master
Ran 07 Mar 2019 06:04PM UTC
Files 108
Run time 7s
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07 Mar 2019 05:30PM UTC coverage: 91.097% (+0.001%) from 91.096%
PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true'

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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 10938.3 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')
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