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python -V pip list | grep pandas
Python 3.8.1 pandas 1.0.3 stock-pandas 0.23.1
stock['kdj.j / kdj.d'] should be of bool dtype, but appending np.nan to the series will change its dtype to np.float64
stock['kdj.j / kdj.d']
np.nan
np.float64
Actually, it is not a bug of stock-pandas, but the behavior of numpy
The text was updated successfully, but these errors were encountered:
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Run the following command and paste the output
python -V pip list | grep pandas
code
stock['kdj.j / kdj.d']
should be of bool dtype, but appendingnp.nan
to the series will change its dtype tonp.float64
Actually, it is not a bug of stock-pandas, but the behavior of numpy
The text was updated successfully, but these errors were encountered: