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Build error
Build error
Merge pull request #2 from hasanmalik825-gh/dev
Browse files- app.py +7 -4
- test.ipynb +0 -295
app.py
CHANGED
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@@ -8,14 +8,16 @@ from tools.final_answer import FinalAnswerTool
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from Gradio_UI import GradioUI
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from typing import Dict, Any
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-
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@tool
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def get_stock_info(symbol: str)-> Dict[str, Any]:
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"""
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A tool that
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Args:
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symbol (str):
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"""
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try:
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# Create ticker object
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@@ -37,6 +39,7 @@ def get_stock_info(symbol: str)-> Dict[str, Any]:
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}
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except Exception as e:
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print(f"Error fetching data for {symbol}: {str(e)}")
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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from Gradio_UI import GradioUI
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from typing import Dict, Any
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@tool
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def get_stock_info(symbol: str) -> Dict[str, Any]:
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"""
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A tool that fetches current stock information for a given symbol.
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Args:
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symbol (str): The stock symbol for which to retrieve information (e.g., 'AAPL' for Apple, 'GOOG' for Google).
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Returns:
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Dict[str, Any]: A dictionary containing stock information, such as current price, today's high/low, and market cap.
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"""
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try:
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# Create ticker object
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}
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except Exception as e:
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print(f"Error fetching data for {symbol}: {str(e)}")
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return {"Error": str(e)} # Return the error in a friendly format
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@tool
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def get_current_time_in_timezone(timezone: str) -> str:
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test.ipynb
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{
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"cells": [
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Collecting yfinance\n",
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" Downloading yfinance-0.2.53-py2.py3-none-any.whl.metadata (5.8 kB)\n",
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"Requirement already satisfied: pandas>=1.3.0 in c:\\users\\homepc\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from yfinance) (2.2.3)\n",
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"Requirement already satisfied: numpy>=1.16.5 in c:\\users\\homepc\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from yfinance) (1.26.4)\n",
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"Requirement already satisfied: requests>=2.31 in c:\\users\\homepc\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from yfinance) (2.32.3)\n",
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"Collecting multitasking>=0.0.7 (from yfinance)\n",
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" Downloading multitasking-0.0.11-py3-none-any.whl.metadata (5.5 kB)\n",
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"Requirement already satisfied: platformdirs>=2.0.0 in c:\\users\\homepc\\appdata\\roaming\\python\\python311\\site-packages (from yfinance) (4.3.6)\n",
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"Requirement already satisfied: pytz>=2022.5 in c:\\users\\homepc\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from yfinance) (2024.2)\n",
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"Collecting frozendict>=2.3.4 (from yfinance)\n",
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" Downloading frozendict-2.4.6-py311-none-any.whl.metadata (23 kB)\n",
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"Collecting peewee>=3.16.2 (from yfinance)\n",
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" Installing build dependencies: started\n",
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" Installing build dependencies: finished with status 'done'\n",
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" Getting requirements to build wheel: started\n",
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" Getting requirements to build wheel: finished with status 'done'\n",
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" Preparing metadata (pyproject.toml): started\n",
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"Requirement already satisfied: soupsieve>1.2 in c:\\users\\homepc\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.6)\n",
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" Building wheel for peewee (pyproject.toml): finished with status 'done'\n",
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" Created wheel for peewee: filename=peewee-3.17.9-py3-none-any.whl size=139096 sha256=29a4719e5b3df9682254f061dc1a51196a8b298f14f6452d51d027969ae8bb41\n",
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" Stored in directory: c:\\users\\homepc\\appdata\\local\\pip\\cache\\wheels\\f4\\14\\e4\\50c88c865833085aeb91e2bd40e3a683ff434806386b8ee7bc\n",
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"Successfully built peewee\n",
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"Installing collected packages: peewee, multitasking, frozendict, yfinance\n",
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"Successfully installed frozendict-2.4.6 multitasking-0.0.11 peewee-3.17.9 yfinance-0.2.53\n",
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]
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}
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],
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"source": [
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"!pip install yfinance"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [],
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"source": [
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"import yfinance as yf\n",
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"from datetime import datetime\n",
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"\n",
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"def get_stock_info(symbol: str)-> dict:\n",
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" \"\"\"\n",
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" A tool that gets current stock information for a given symbol.\n",
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" \n",
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" Args:\n",
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" symbol (str): Stock symbol (e.g., 'AAPL' for Apple)\n",
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" \"\"\"\n",
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" try:\n",
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" # Create ticker object\n",
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" ticker = yf.Ticker(symbol)\n",
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" # Get current stock info\n",
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" info = ticker.info\n",
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" current_price = info.get('currentPrice', 'NA')\n",
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" market_cap = info.get('marketCap', 'NA') \n",
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" # Get today's data\n",
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" today_data = ticker.history(period='1d')\n",
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" \n",
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" return {\n",
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" \"Stock\": symbol.upper(),\n",
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" \"Current Price\": current_price,\n",
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" \"Today's High\": today_data['High'].iloc[0] or \"NA\",\n",
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" \"Today's Low\": today_data['Low'].iloc[0] or \"NA\",\n",
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" \"Volume\": today_data['Volume'].iloc[0] or \"NA\",\n",
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" \"MarketCap\": market_cap\n",
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" }\n",
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" except Exception as e:\n",
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" print(f\"Error fetching data for {symbol}: {str(e)}\")"
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]
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},
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{
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'Stock': 'ETH',\n",
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" 'Current Price': 'NA',\n",
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" \"Today's High\": 26.31999969482422,\n",
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" \"Today's Low\": 25.365999221801758,\n",
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" 'Volume': 1148800,\n",
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" 'MarketCap': 'NA'}"
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]
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},
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"execution_count": 29,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"get_stock_info('eth')"
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]
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},
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{
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"cell_type": "code",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Stock Market Information\n",
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"========================================\n",
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"\n",
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"Stock Information for AAPL\n",
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"========================================\n",
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"Current Price: $244.6\n",
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"Previous Close: $241.53\n",
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"Day's High: $245.55\n",
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"Day's Low: $240.99\n",
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"Volume: 40,838,100\n",
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"Market Cap: $3674.41B\n",
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"\n",
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"Last Updated: 2025-02-17 21:46:59\n",
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"\n"
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]
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},
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{
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"output_type": "stream",
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"text": [
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:30: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's High: ${today_data['High'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:31: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's Low: ${today_data['Low'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:32: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Volume: {today_data['Volume'][0]:,.0f}\")\n"
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]
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},
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{
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"text": [
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"\n",
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"Stock Information for MSFT\n",
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"========================================\n",
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"Current Price: $408.43\n",
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"Previous Close: $410.54\n",
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"Day's High: $408.91\n",
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"Day's Low: $405.88\n",
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"Volume: 22,680,000\n",
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"Market Cap: $3036.26B\n",
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"\n",
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"Last Updated: 2025-02-17 21:47:00\n",
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"\n"
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]
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},
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"text": [
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:30: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's High: ${today_data['High'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:31: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's Low: ${today_data['Low'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:32: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Volume: {today_data['Volume'][0]:,.0f}\")\n"
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"text": [
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"\n",
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"Stock Information for GOOGL\n",
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"========================================\n",
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"Current Price: $185.23\n",
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"Previous Close: $186.14\n",
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"Day's High: $186.40\n",
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"Day's Low: $184.32\n",
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"Volume: 20,402,300\n",
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"Market Cap: $2266.97B\n",
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"\n",
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"Last Updated: 2025-02-17 21:47:01\n",
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"\n",
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"Have a nice day! :)\n"
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]
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},
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"text": [
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:30: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's High: ${today_data['High'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:31: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
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" print(f\"Day's Low: ${today_data['Low'][0]:.2f}\")\n",
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"C:\\Users\\HomePC\\AppData\\Local\\Temp\\ipykernel_22112\\1949323000.py:32: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]`\n",
|
| 242 |
-
" print(f\"Volume: {today_data['Volume'][0]:,.0f}\")\n"
|
| 243 |
-
]
|
| 244 |
-
}
|
| 245 |
-
],
|
| 246 |
-
"source": [
|
| 247 |
-
"symbols = ['AAPL', 'MSFT', 'GOOGL']\n",
|
| 248 |
-
"\n",
|
| 249 |
-
"print(\"Stock Market Information\")\n",
|
| 250 |
-
"print(\"=\" * 40)\n",
|
| 251 |
-
"\n",
|
| 252 |
-
"for symbol in symbols:\n",
|
| 253 |
-
" get_stock_info(symbol)\n",
|
| 254 |
-
" print()\n",
|
| 255 |
-
"\n",
|
| 256 |
-
"print(\"Have a nice day! :)\")"
|
| 257 |
-
]
|
| 258 |
-
},
|
| 259 |
-
{
|
| 260 |
-
"cell_type": "code",
|
| 261 |
-
"execution_count": null,
|
| 262 |
-
"metadata": {},
|
| 263 |
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"outputs": [],
|
| 264 |
-
"source": []
|
| 265 |
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},
|
| 266 |
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{
|
| 267 |
-
"cell_type": "code",
|
| 268 |
-
"execution_count": null,
|
| 269 |
-
"metadata": {},
|
| 270 |
-
"outputs": [],
|
| 271 |
-
"source": []
|
| 272 |
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}
|
| 273 |
-
],
|
| 274 |
-
"metadata": {
|
| 275 |
-
"kernelspec": {
|
| 276 |
-
"display_name": "Python 3",
|
| 277 |
-
"language": "python",
|
| 278 |
-
"name": "python3"
|
| 279 |
-
},
|
| 280 |
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"language_info": {
|
| 281 |
-
"codemirror_mode": {
|
| 282 |
-
"name": "ipython",
|
| 283 |
-
"version": 3
|
| 284 |
-
},
|
| 285 |
-
"file_extension": ".py",
|
| 286 |
-
"mimetype": "text/x-python",
|
| 287 |
-
"name": "python",
|
| 288 |
-
"nbconvert_exporter": "python",
|
| 289 |
-
"pygments_lexer": "ipython3",
|
| 290 |
-
"version": "3.11.0"
|
| 291 |
-
}
|
| 292 |
-
},
|
| 293 |
-
"nbformat": 4,
|
| 294 |
-
"nbformat_minor": 2
|
| 295 |
-
}
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