dindizz commited on
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0dc52dd
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1 Parent(s): 52dc925

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -7,21 +7,21 @@ import os
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  API_URL = 'https://api.electricitymap.org/v3/power-breakdown/latest'
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  API_TOKEN = os.getenv('ELECTRICITYMAP_API_TOKEN')
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- # Define the data for Shell offices
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  data = {
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  "Office": ["Shell Centre", "Shell House", "Shell Technology Center", "Shell India Markets Pvt Ltd",
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  "Shell Australia", "Shell Canada", "Shell Argentina", "Shell Nigeria", "Shell China",
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  "Shell Russia", "Shell Germany", "Shell Netherlands", "Shell South Africa", "Shell Mexico",
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- "Shell Brazil"],
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  "Location": ["London, United Kingdom", "Singapore", "Houston, Texas, USA", "Bengaluru, India",
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  "Perth, Australia", "Calgary, Alberta, Canada", "Buenos Aires, Argentina",
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  "Lagos, Nigeria", "Beijing, China", "Moscow, Russia", "Hamburg, Germany",
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  "The Hague, Netherlands", "Cape Town, South Africa", "Mexico City, Mexico",
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- "Rio de Janeiro, Brazil"],
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  "Latitude": [51.5074, 1.3521, 29.7604, 12.9716, -31.9505, 51.0447, -34.6037, 6.5244,
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- 39.9042, 55.7558, 53.5511, 52.0705, -33.9249, 19.4326, -22.9068],
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  "Longitude": [-0.1278, 103.8198, -95.3698, 77.5946, 115.8605, -114.0719, -58.3816,
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- 3.3792, 116.4074, 37.6173, 9.9937, 4.3007, 18.4241, -99.1332, -43.1729]
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  }
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  df = pd.DataFrame(data)
 
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  API_URL = 'https://api.electricitymap.org/v3/power-breakdown/latest'
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  API_TOKEN = os.getenv('ELECTRICITYMAP_API_TOKEN')
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+ # Define the data for Shell offices, including Chennai Shell Center
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  data = {
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  "Office": ["Shell Centre", "Shell House", "Shell Technology Center", "Shell India Markets Pvt Ltd",
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  "Shell Australia", "Shell Canada", "Shell Argentina", "Shell Nigeria", "Shell China",
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  "Shell Russia", "Shell Germany", "Shell Netherlands", "Shell South Africa", "Shell Mexico",
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+ "Shell Brazil", "Chennai Shell Center"],
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  "Location": ["London, United Kingdom", "Singapore", "Houston, Texas, USA", "Bengaluru, India",
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  "Perth, Australia", "Calgary, Alberta, Canada", "Buenos Aires, Argentina",
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  "Lagos, Nigeria", "Beijing, China", "Moscow, Russia", "Hamburg, Germany",
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  "The Hague, Netherlands", "Cape Town, South Africa", "Mexico City, Mexico",
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+ "Rio de Janeiro, Brazil", "Chennai, India"],
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  "Latitude": [51.5074, 1.3521, 29.7604, 12.9716, -31.9505, 51.0447, -34.6037, 6.5244,
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+ 39.9042, 55.7558, 53.5511, 52.0705, -33.9249, 19.4326, -22.9068, 12.948355048098758],
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  "Longitude": [-0.1278, 103.8198, -95.3698, 77.5946, 115.8605, -114.0719, -58.3816,
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+ 3.3792, 116.4074, 37.6173, 9.9937, 4.3007, 18.4241, -99.1332, -43.1729, 80.20786438232427]
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  }
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  df = pd.DataFrame(data)