Error with read_csv using dask.dataframe

I get an error when using dd.read_csv using Dask 0.9.0. This works with Dask 0.8.2 and pandas 0.18.1. Steps to reproduce are below:

Download a sample CSV file from the GDELT dataset:

$ wget https://s3.amazonaws.com/blaze-data/gdelt/csv/20140101.export.csv

Perform an operation with Dask.Dataframe:

>>> import dask.dataframe as dd
>>> df = dd.read_csv('20140101.export.csv', sep='\t', header=None)
>>> df.head()

ValueError                                Traceback (most recent call last)
<ipython-input-3-2569c44faf66> in <module>()
----> 1 df.head()

/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/dataframe/core.py in head(self, n, compute)
    369 
    370         if compute:
--> 371             result = result.compute()
    372         return result
    373 

/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/base.py in compute(self, **kwargs)
     35 
     36     def compute(self, **kwargs):
---> 37         return compute(self, **kwargs)[0]
     38 
     39     @classmethod

/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/base.py in compute(*args, **kwargs)
    108                 for opt, val in groups.items()])
    109     keys = [var._keys() for var in variables]
--> 110     results = get(dsk, keys, **kwargs)
    111 
    112     results_iter = iter(results)

/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/threaded.py in get(dsk, result, cache, num_workers, **kwargs)
     55     results = get_async(pool.apply_async, len(pool._pool), dsk, result,
     56                         cache=cache, queue=queue, get_id=_thread_get_id,
---> 57                         **kwargs)
     58 
     59     return results

/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/async.py in get_async(apply_async, num_workers, dsk, result, cache, queue, get_id, raise_on_exception, rerun_exceptions_locally, callbacks, **kwargs)
    486                 _execute_task(task, data)  # Re-execute locally
    487             else:
--> 488                 raise(remote_exception(res, tb))
    489         state['cache'][key] = res
    490         finish_task(dsk, key, state, results, keyorder.get)

ValueError: could not convert string to float: 'HRW'

Traceback
---------
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/async.py", line 267, in execute_task
    result = _execute_task(task, data)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/async.py", line 249, in _execute_task
    return func(*args2)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/dataframe/csv.py", line 43, in bytes_read_csv
    coerce_dtypes(df, dtypes)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/dask/dataframe/csv.py", line 67, in coerce_dtypes
    df[c] = df[c].astype(dtypes[c])
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/generic.py", line 2950, in astype
    raise_on_error=raise_on_error, **kwargs)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/internals.py", line 2938, in astype
    return self.apply('astype', dtype=dtype, **kwargs)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/internals.py", line 2890, in apply
    applied = getattr(b, f)(**kwargs)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/internals.py", line 434, in astype
    values=values, **kwargs)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/internals.py", line 477, in _astype
    values = com._astype_nansafe(values.ravel(), dtype, copy=True)
  File "/Users/koverholt/anaconda3/lib/python3.5/site-packages/pandas/core/common.py", line 1920, in _astype_nansafe
    return arr.astype(dtype)

[jcrist]

I believe this has been resolved (through both code and doc improvements). Closing.

[Umersaeed81]

cell = dd.read_csv(‘*.csv’,
skiprows=[0,1,2,3,4,5],
skipfooter=1, engine=‘python’,
na_values=[‘NIL’,‘/0’], parse_dates=[“Date”],assume_missing=True)