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About Us Iwaku is a roleplay community. We don’t just write stories – we live them! Roleplaying is stepping in to the life of a character and experiencing what they experience. Here on Iwaku, we’re all about giving you the freedom to write anything you want while providing a safe and friendly community to do it in. Our site contains forum roleplay, chat roleplay, group roleplay, private roleplay, as well as other methods for living your stories. Quick Navigation Useful Links Support Iwaku We are a community ran by REAL PEOPLE! We are not a corporation or a company. Our server, domain, and software licenses are privately owned and paid for 100% out of our own pockets. To help pay for these monthly costs, we are more than happy to take donations from members in exchange for super spiffy extra tools and features on the boards. For more information you can view our Donating FAQs.Q: Python: Values in input files and the model coefficients I have a CSV file, and in the first column is the name of a set of samples. The second and third column are the labels of the samples. In my program, I am using sklearn.naive_bayes.GaussianNB to predict the labels of the samples. The sklearn.naive_bayes.GaussianNB fit my data using the coefficients in my code. The CSV file that I am reading from has, for each sample, the x and y coordinates (from x=0 to 90). I am wondering how I can get all the samples in the CSV file to have the same encoding for the inputs (as I am using the x and y coordinates)? I thought about using str.encode, but that is just in one column of the CSV file. A: As a quick example, say you have this CSV file: Title,Description The cow jumped over the moon,The cow jumped over the moon. The cow jumped over the moon,The cow jumped over the moon. And you use the import csv module to read this file. Then read the file into a pandas dataframe like this: import pandas as pd df = pd.read_csv(‘path/to/file.csv’) Then, for each row in the dataframe, split the row by whites
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