thebardchat thebardchat

## gist:7d62d4693f5e3087fbe07cc13e97e330
import pandas as pd

# --- Step 1: Load the CORRECTED data files using a robust method ---
# Using index_col=0 tells pandas to use the first column as the index,
# which permanently solves the 'Aggregate' column key error.
try:
    base_df = pd.read_csv(r"Untitled spreadsheet - BASE (1).csv", index_col=0)
    gold_df = pd.read_csv(r"Untitled spreadsheet - GOLD (1).csv", index_col=0)
    platinum_df = pd.read_csv(r"Untitled spreadsheet - PLATINUM (1).csv", index_col=0)
    diamond_df = pd.read_csv(r"Untitled spreadsheet - DIAMOND (1).csv", index_col=0)

## Schedule
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Haul Hustle 🚚</title>
    <style>
        body {
            font-family: -apple-system, Arial, sans-serif;
            background-color: #f0f0f5;
	import pandas as pd

	# --- Step 1: Load the CORRECTED data files using a robust method ---
	# Using index_col=0 tells pandas to use the first column as the index,
	# which permanently solves the 'Aggregate' column key error.
	try:
	base_df = pd.read_csv(r"Untitled spreadsheet - BASE (1).csv", index_col=0)
	gold_df = pd.read_csv(r"Untitled spreadsheet - GOLD (1).csv", index_col=0)
	platinum_df = pd.read_csv(r"Untitled spreadsheet - PLATINUM (1).csv", index_col=0)
	diamond_df = pd.read_csv(r"Untitled spreadsheet - DIAMOND (1).csv", index_col=0)
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<title>Haul Hustle 🚚</title>
	<style>
	body {
	font-family: -apple-system, Arial, sans-serif;
	background-color: #f0f0f5;