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import argparse | |
import json | |
import logging | |
import os | |
import re | |
import shutil | |
from concurrent.futures import ProcessPoolExecutor, as_completed | |
from dataclasses import dataclass | |
from datetime import datetime | |
from typing import Any, Callable, Dict, List, Literal, Optional, Tuple |
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import pandas as pd | |
from sklearn.preprocessing import LabelEncoder,OneHotEncoder | |
def decode_encode(colname): | |
''' | |
(str) -> (DataFrame) | |
Returns a Data Frame with the column given to it transformed into a One-hot encoded set of columns |
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import pandas as pd | |
from scipy.stats import mode | |
grouped_mod = df.pivot_table(values='The metric you need the mode for',columns='Category',aggfunc=mode) |