how can we just convert streamz.dataframe into a normal dataframe?

[fs-rd-anish-dey]

i have this sdf

from streamz import Stream

source = Stream.filenames('~/jupyter/streams/csv/*.csv', poll_interval=0.1)
source.start()
example = pd.DataFrame({'cnt': [], 'word': []})
sdf = source.map(pd.read_csv).to_dataframe(example=example)
sdf

I just want to visualize it normally like I can do for a normal pandaz dataframe. Any help for visualizing the above sdf(example below) into a bar graph will be immensely helpful

|cnt|word|
+---+----+
|  3|   9|
|  1|   1|
|  1|   5|
|  3|   7|
|  3|  10|
|  3|   6|
|  2|   4|
|  2|   8|
+---+----+

[mrocklin]

My sense is that this would make more sense after we added support for stop or end-of-stream signals. I'm not sure how to accomplish this cleanly before then.

On Tue, Jun 5, 2018 at 3:32 AM, fs-rd-anish-dey notifications@github.com wrote:

i have this sdf

from streamz import Stream

source = Stream.filenames('~/jupyter/streams/csv/*.csv', poll_interval=0.1) source.start() example = pd.DataFrame({'cnt': [], 'word': []}) sdf = source.map(pd.read_csv).to_dataframe(example=example) sdf

I just want to visualize it normally like I can do for a normal pandaz dataframe. Any help for visualizing the above sdf(example below) into a bar graph will be immensely helpful

|cnt|word| +---+----+ | 3| 9| | 1| 1| | 1| 5| | 3| 7| | 3| 10| | 3| 6| | 2| 4| | 2| 8| +---+----+

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[CJ-Wright]

Could we have a crude end-of-stream via a collect?