train_and_evaluate.ipynb ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

[segatrade]

In tutorial: https://github.com/tensortrade-org/tensortrade/blob/master/examples/train_and_evaluate.ipynb
Implement basic feature engineering
sel.fit(X_train, precalculate_ground_truths(X_train, column='close'))
we got:
ValueError: Input contains NaN, infinity or a value too large for dtype('float32').

[bhavithran1]

Maybe your data has NAN values. Try X_train.dropna()

[Quentin168]

I also encountered this problem and tried X_train.dropna(), but problem still there, any more suggestions?

[Zymoo]

Hey, also encountered this when returned to my code after some time off.

In my case it seemed to be an issue with Bitcoin volume at certain exchanges when using CryptoDataDownload. Change to BTC-USDT on Binance Exchange resolved this issue.

Hope it might help!

[newzapster]

This issue is related to the datetime stamp of UNIX. I had to revise the cdd.py file.

Also had to add below line:

data = data.drop(labels="compsum", axis=1)