Jdoz

import pandas as pd
import unicodedata
import re
from typing import Hashable, List, Collection, Union

_underscorer1 = re.compile(r"(.)([A-Z][a-z]+)")
_underscorer2 = re.compile("([a-z0-9])([A-Z])")


def _camel2snake(col_name: str) -> str:

Jdoz

def reduce_mem_usage(df, verbose=True):
    """Converts numeric columns to properly sized bytes to reduce overall dataframe size in memory"""
    numerics = ["int16", "int32", "int64", "float16", "float32", "float64"]
    start_mem = df.memory_usage().sum() / 1024 ** 2
    for col in df.columns:
        col_type = df[col].dtypes
        if col_type in numerics:
            c_min = df[col].min()
            c_max = df[col].max()
            if str(col_type)[:3] == "int":