prep.py Error

[nyirock]

It seems that google have updated their API, so when running prep.py it raises a remote error: raise RemoteDataError('Unable to read URL: {0}'.format(url)) pandas_datareader._utils.RemoteDataError: Unable to read URL: http://www.google. com/finance/historical?q=usb&startdate=Jan+27%2C+2017&enddate=Jan+27%2C+2018&out put=csv Is there a way the offline versions of JSON files could be made available?

[isunli]

Same, any one can fix this problem?

[mdtdev]

Clearly the data source is no longer supported. Does anyone know an alternate source to use for the data? Or equivalent data to download?

[mrocklin]

I don't personally know of a good place to download this data, but I wouldn't be surprised if one exists.

The dask repository now includes a dask.datasets.timeseries function that generates entirely fake data that might fit in, though would be less interesting. If someone wants to do this I suspect it would be welcome.

[cdeil]

I also wanted to try this tutorial, but couldn't get the data:

(parallel) hfm-1804a:parallel-tutorial deil$ python prep.py
Traceback (most recent call last):
  File "prep.py", line 21, in <module>
    dask.set_options(get=dask.multiprocessing.get)
  File "/Users/deil/software/anaconda3/envs/parallel/lib/python3.6/site-packages/dask/context.py", line 18, in set_options
    raise TypeError("The dask.set_options function has been deprecated.\n"
TypeError: The dask.set_options function has been deprecated.
Please use dask.config.set instead

  Before: with dask.set_options(foo='bar'):
              ...
  After:  with dask.config.set(foo='bar'):
              ...

I don't personally know of a good place to download this data, but I wouldn't be surprised if one exists.

How big is the data that was downloaded by prep.py. If it's less than 1 GB maybe you could just put a copy in this Github repo?

Would be great to have this tutorial working....

[mrocklin]

I agree that putting the data into the repository is possible. Unfortunately I no longer know how to obtain the data. My recommendation that someone rework the examples to use the dask.datasets.timeseries function is, I think, still the best approach I can think of personally. Alternate solutions would be welcome if people want to implement them.

[cdeil]

I agree that putting the data into the repository is possible. Unfortunately I no longer know how to obtain the data.

@minrk - maybe you still have a copy of the files around?

My recommendation that someone rework the examples to use the dask.datasets.timeseries function is, I think, still the best approach I can think of personally.

I could try tomorrow. But to me, bundling example data in the tutorial repo seems like the better solution if it's small, to increase chances of it working in the future.

[mrocklin]

dask.datasets.timeseries produces random data using the numpy.random module. It's definitely as robust as packaging data, and has the benefit of working over conference wifi.

I think it's ok to have a few megabytes of data here, but we need to expect this tutorial to be run over very poor internet connections. Anything over a few tens of megabytes is unpleasant.

[jjbankert]

In order to even get to the google error I've set dask=0.20.2 and pandas =0.22 in the environment.yml file. Dask ran into the same issue as @cdeil reported, and pandas reported the following exception:

(parallel) [parallel-tutorial]$ python prep.py
Traceback (most recent call last):
  File "prep.py", line 44, in <module>
    write_stock(symbol)
  File "prep.py", line 37, in write_stock
    data_source='google')
  File "/opt/anaconda3/envs/parallel/lib/python3.6/site-packages/dask/dataframe/io/demo.py", line 202, in daily_stock
    from pandas_datareader import data
  File "/opt/anaconda3/envs/parallel/lib/python3.6/site-packages/pandas_datareader/__init__.py", line 2, in <module>
    from .data import (DataReader, Options, get_components_yahoo,
  File "/opt/anaconda3/envs/parallel/lib/python3.6/site-packages/pandas_datareader/data.py", line 14, in <module>
    from pandas_datareader.fred import FredReader
  File "/opt/anaconda3/envs/parallel/lib/python3.6/site-packages/pandas_datareader/fred.py", line 1, in <module>
    from pandas.core.common import is_list_like
ImportError: cannot import name 'is_list_like'