NoSuchMethodError: internalCreateDataFrame about flint

[LeoDashTM]

@emmanuelmillionaer hello there!
I'm glad someone else is trying to use this library. Do you know if there's an active forum anywhere, where flint users can ask questions, share answers and overall exchange their experiences with the library?

Regarding your example/error: please, read the docs, this works for me, take a look (you're missing the flint context object in place of the sql context, I'm guessing the start and the end timepoints are defaulted to min and max respectively):

from ts.flint import FlintContext, clocks
fc = FlintContext( sqlContext )
cl = clocks.uniform(fc, '30s', begin_date_time='2018-8-1 5:55:35', end_date_time='2018-08-01 05:59:05')
print( cl )
print( type( cl ) )

from ts.flint import _version
_version.get_versions()

FYI, this is running on DataBricks (Spark 2.3.1)

Now, I'm not able to join this clock (which I'm assuming is a DataFrame) to another existing DataFrame of mine - the error is saying joinLeft is not available. Any help with that is appreciated.

[LeoDashTM]

Forgot the output, here it is:

TimeSeriesDataFrame[time: timestamp]
<class 'ts.flint.dataframe.TimeSeriesDataFrame'>
Out[9]: 
{'version': '0.6.0',
 'full-revisionid': '2e56267f357f89a15f2bdf5ba9af83dc34afe75e',
 'error': None,
 'date': '2018-07-25T19:19:11+0000',
 'dirty': False}

[icexelloss]

@emmanuelmillionaer Hi currently Flint only works with Spark 2.3+

[icexelloss]

@LeoDashTM I suspect clock table is not on the left side? Please create a another issue so we don't talk about two different issues here.