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When the dataframes used goes over a certain size, pickle compresses it: "lambdaLog": "[[81900,\"{\\\"py/object\\\": \\\"trader.TraderData\\\", \\\"prices\\\": {\\\"py/object\\\": \\\"pandas.core.frame.DataFrame\\\", \\\"comp\\\": true, \\\"values\\
This prevents the visualizer from recognising the logs.
I have tested it using the same code but with smaller dataframe size and if it does not compress, then the visualizer is able to recognise the logs
Algorithm runs fine on the IMC prosperity website, but just breaks the visualizer.
The text was updated successfully, but these errors were encountered:
I updated the logger in the prerequisites section about a week ago to truncate the trader_data and logs it prints, if you submit with the latest logger code displayed on the visualizer's home page this issue should disappear.
When the dataframes used goes over a certain size, pickle compresses it:
"lambdaLog": "[[81900,\"{\\\"py/object\\\": \\\"trader.TraderData\\\", \\\"prices\\\": {\\\"py/object\\\": \\\"pandas.core.frame.DataFrame\\\", \\\"comp\\\": true, \\\"values\\
This prevents the visualizer from recognising the logs.
I have tested it using the same code but with smaller dataframe size and if it does not compress, then the visualizer is able to recognise the logs
Algorithm runs fine on the IMC prosperity website, but just breaks the visualizer.
The text was updated successfully, but these errors were encountered: