Welcome to Technical Analysis Library in Python’s documentation!¶ It is a Technical Analysis library to financial time series datasets (open, close, high, low, volume). You can use it to do feature engineering from financial datasets. It is builded on Python Pandas library. The best way to learn any programming language is by practicing examples on your own. You are advised to take references of these examples and try them on your own.
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How can I run simple correspondence analysis (CA) in Python? In the sklearn library, there only appears to be multiple correspondence analysis (MCA) and canonical correspondence analysis (CCA) options. However, my data is not categorical and does not need the additional linearity constraints applied by CCA.
My impression based on this link on CCA and this one on MCA is that regular CA cannot be applied by using one of the two other option.
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