EEG data preprocessing of raw csv file with channel features (AF7, TP9, TP19, AF8, Fpz)

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Raw EEG csv file contains huge number of samples and 5 channel feature. How to plot ICA of five frequency are delta, theta, alpha, beta and gamma, data preprocessing, its has not event so, how to assign a event in this csv file and how to feature extraction using this file

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You will have to convert the data into a suitable MNE object. I recommend this tutorial as a starting point: Creating MNE-Python data structures from scratch — MNE 1.5.1 documentation

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Then I want the feature extraction for this four channel