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mrocklin / dask / 2707
91%
master: 94%

Build:
Build:
LAST BUILD BRANCH: astype-passthrough
DEFAULT BRANCH: master
Ran 08 Mar 2019 04:45PM UTC
Jobs 2
Files 108
Run time 31min
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2707

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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
```

5 of 5 new or added lines in 1 file covered. (100.0%)

17200 of 18881 relevant lines covered (91.1%)

1.82 hits per line

Jobs
ID Job ID Ran Files Coverage
3 2707.3 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true') 08 Mar 2019 04:45PM UTC 0
91.1
Travis Job 2707.3
7 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') 08 Mar 2019 05:17PM UTC 0
91.1
Travis Job 2707.7
Source Files on build 2707
Detailed source file information is not available for this build.
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