Comments (20)
aschonfeld
commented on May 18, 2024
2
@nistrup thanks for getting me all this info. I think I may have figured out what the problem is late last night. Its something with how i’ve structured the global variables so its a little more invasive than I thought but not tough, just need the kids to go to bed. I’ll try releasing a new version tonight.
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aschonfeld
commented on May 18, 2024
1
Its gotta be that subprocess. Ok, to prove my theory you could try using version 1.7.0, although it may not be in conda so you’d have to go through pip. Thats the only version with the plotly charts where I didnt use the timeout
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aschonfeld
commented on May 18, 2024
1
Thats a nice looking chart!
I’ll try taking out the multiprocessing tonight so you can get all the current functionality back.
The original reason for the multiprocessing was because if you request a really expensive computation then it blocks your entire D-Tale instance until it finishes and then you’ll have to create a new instance by either opening another notebook or calling dtale.show(df, port=40001, force=True)
FYI, you can use whatever port you want as long as its open :)
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aschonfeld
commented on May 18, 2024
My sincerest apologies, i think this is a breaking change in v1.7.6, i’ll try pushing a fix tomorrow. For the time being if you downgrade to 1.7.5 you should be fine
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nistrup
commented on May 18, 2024
@aschonfeld thank you so much, really love what you're doing, keep it up!
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aschonfeld
commented on May 18, 2024
@nistrup Sorry I took a closer look at your chart configuration and if you wanted to plot EQ_EARN_SHARE over time then you'll want asof to be set to the X-Axis and EQ_EARN_SHARE to be set to the Y-Axis. That is assuming the KeyError isn't still happening in 1.7.5
Also, I'm able to produce a similar style chart on 1.7.6 using the demo site:
http://andrewschonfeld.pythonanywhere.com/charts/1?chart_type=line&query=security_id+%3D%3D+100000&x=date&barmode=group&cpg=false&y=%5B%22Col0%22%5D
Is there any chance you can send the URL's you're seeing for the data grid and the charts page?
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aschonfeld
commented on May 18, 2024
Also, can you let me know what the order of operations was when bringing up D-Tale? Did you open any sessions and then kill some then open some again? I'm having a lot of trouble recreating the error.
Also can you let me know what version of python you're using as well as the versions of all the packages in your virtual environment? You can get this by running either conda list or pip freeze depending on how you set up your environment.
Thanks
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aschonfeld
commented on May 18, 2024
Good news, I think I may have found what is causing this issue. Hopefully will have a fix out there tomorrow.
FYI, I think v1.7.6 is fine to use. This issue has been around a while, but its tough to hit. :(
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nistrup
commented on May 18, 2024
Also, can you let me know what the order of operations was when bringing up D-Tale? Did you open any sessions and then kill some then open some again? I'm having a lot of trouble recreating the error.
Also can you let me know what version of python you're using as well as the versions of all the packages in your virtual environment? You can get this by running either
conda listorpip freezedepending on how you set up your environment.Thanks
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nistrup
commented on May 18, 2024
@nistrup Sorry I took a closer look at your chart configuration and if you wanted to plot EQ_EARN_SHARE over time then you'll want asof to be set to the X-Axis and EQ_EARN_SHARE to be set to the Y-Axis. That is assuming the
KeyErrorisn't still happening in 1.7.5Also, I'm able to produce a similar style chart on 1.7.6 using the demo site:
http://andrewschonfeld.pythonanywhere.com/charts/1?chart_type=line&query=security_id+%3D%3D+100000&x=date&barmode=group&cpg=false&y=%5B%22Col0%22%5DIs there any chance you can send the URL's you're seeing for the data grid and the charts page?
Yes you'r obviously correct regarding the x- and y-axis! I dosn't solve my problem though..
If I understand your question correctly, this is the URL I'm seeing for the charting: http://desktop-11np9kl:40000/charts/1
The first time I got this error is was actually KeyError: '2' and the URL for that error was ".../charts/2", I figure it was because I had already launched a d-tale "session"
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adnanazad2065
commented on May 18, 2024
Hi @aschonfeld , I tried to replicate the charts following the exact dataset from your reddit demo, I got the same KeyError: '1'. Initially when I tried it on a large dataset got this as well, so likely not happening because of data size.
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aschonfeld
commented on May 18, 2024
I got a little freed up and am close to pushing a new version that will hopefully solve this. It should be noted that I was never able to truly replicate the issue, but I found something else that I think has something to do with it. 🤞
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aschonfeld
commented on May 18, 2024
@nistrup @adnanazad2065 I've just made version 1.7.7 available on pypi if you want to try upgrading and see if that solves your issue. Might be a little longer until its on conda. Gotta wait for the build to run...
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nistrup
commented on May 18, 2024
@nistrup @adnanazad2065 I've just made version 1.7.7 available on pypi if you want to try upgrading and see if that solves your issue. Might be a little longer until its on conda. Gotta wait for the build to run...
Thank you so much for your work! Good news is that the original error is gone, now I get this instead:
Traceback (most recent call last):
File "c:\users\peter\appdata\local\programs\python\python37\lib\site-packages\dtale\dash_application\charts.py", line 726, in build_figure_data
global_state.get_context_variables(data_id)
File "c:\users\peter\appdata\local\programs\python\python37\lib\site-packages\dtale\utils.py", line 785, in run_query
invalid_column_names = [x for x in df.columns.values if not x.isidentifier()]
AttributeError: 'NoneType' object has no attribute 'columns'
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aschonfeld
commented on May 18, 2024
Arghh, that means that the data is still missing somehow. Can you send me the order of operations you’re running to hit this? (Sorry to ask for yet more info).
So are doing something like:
- restarting your kernel
- importing dtale
- calling dtale.show(df)
- going to the grid
- opening the charts page
- then running exactly what you showed in the screenshot?
Thanks again for your patience
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aschonfeld
commented on May 18, 2024
I think I know what the issue is. As a way to guard against long running chart requests i wrapped the chart computation in a separate process with a timeout of 60 seconds. It looks like for some reason your process cant access the global state. I may have to drop this timeout because trying to pickle dataframes between prcoesses could be costly.
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nistrup
commented on May 18, 2024
Arghh, that means that the data is still missing somehow. Can you send me the order of operations you’re running to hit this? (Sorry to ask for yet more info).
So are doing something like:
- restarting your kernel
- importing dtale
- calling dtale.show(df)
- going to the grid
- opening the charts page
- then running exactly what you showed in the screenshot?
Thanks again for your patience
That's exactly right. So some information on my data:
DataFrame info:
<class 'pandas.core.frame.DataFrame'>
MultiIndex: 242467 entries, (A, 1999-11-30) to (ZTS, 2020-01-31)
Data columns (total 93 columns):
EQ_ADR_CHECK 222883 non-null float64
EQ_ASSETS_SHARE 222632 non-null float64
EQ_AVAIL_CHECK 222883 non-null float64
EQ_BOOKVAL_SHARE 225145 non-null float64
EQ_CAPEX_SHARE 222632 non-null float64
...
...
...
EQ_UNFUNDEDPENSIONS_SHARE 222632 non-null float64
EQ_UNIVERSE 217585 non-null float64
EQ_UP_REVISIONS 224599 non-null float64
EQ_VOL_3M_LOC 115947 non-null float64
EQ_WORKINGCAPITAL_SHARE 225145 non-null float64
dtypes: float64(93)
memory usage: 173.0+ MB
DataFrame sample:
DataFrame in dtale:
The order of execution is quite like the one you exemplified:
- imports
- load and preprocess data
- calling dtale.show(df)
- going to the charts menu
- putting in the exact values as the ones in my screenshot
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nistrup
commented on May 18, 2024
Its gotta be that subprocess. Ok, to prove my theory you could try using version 1.7.0, although it may not be in conda so you’d have to go through pip. Thats the only version with the plotly charts where I didnt use the timeout
That fixed it!
Thanks a lot, I'll use 1.7.0 for now then. Again thank you so much for your time, I greatly appreciate it!
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aschonfeld
commented on May 18, 2024
So I have the new version ready to go but unfortunately CircleCI is undergoing maintenance for another hour and 45 minutes. Hopefully I'll have it out soon after that. Sorry
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aschonfeld
commented on May 18, 2024
I hope this isn't preemptive, but I'm going to close this. 🤞 I've just released 1.7.8 and it should hopefully solve your problem. I've removed the multiprocessed timeouts. It's available on pip and should be on conda soon. Enjoy!
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