Created
April 21, 2024 21:57
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| %load_ext autoreload | |
| %autoreload 1 | |
| %config InlineBackend.figure_format = 'retina' | |
| %load_ext rich | |
| import datetime | |
| import hashlib | |
| import json | |
| import os | |
| import re | |
| import sys | |
| import time | |
| import warnings | |
| import ipywidgets as widgets | |
| import matplotlib as mpl | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| import pyarrow as pa | |
| import pandas as pd | |
| import requests | |
| import seaborn as sns | |
| from IPython.display import Markdown, display | |
| from matplotlib.ticker import FuncFormatter | |
| from pandas.plotting import register_matplotlib_converters | |
| from ydata_profiling import ProfileReport | |
| register_matplotlib_converters() | |
| sns.set() | |
| sns.set_context("notebook") | |
| plt.rcParams["figure.figsize"] = 10, 6 | |
| pd.options.display.max_columns = None | |
| pd.options.display.max_rows = None | |
| pd.options.display.precision = 4 | |
| warnings.simplefilter(action="ignore", category=FutureWarning) | |
| dollar_formatter = FuncFormatter(lambda x, pos: f"${x:,.0f}") | |
| thousands_formatter = FuncFormatter(lambda x, pos: f"{x:,.0f}") | |
| string_pa = pd.ArrowDtype(pa.string()) |
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