how can we just convert streamz.dataframe into a normal dataframe?
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- pandas, python
- Domain
- data-visualization, documentation
Research direction
No files or tests are named. Start with the Stream.filenames(...).to_dataframe(...) example and determine whether a supported conversion or visualization path exists; done means documenting a clear bar-graph example or recording the limitation.
Written by the indexing model from the issue text.
Description
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|
+---+----+
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 149
- PR merge metrics
- No merged PRs in 30d
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