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Energy Data Analysis with Python - Home Energy Data Analysis with Python - Home
  • Energy Data Analysis with Python
  • Preface
  • Part I — Getting Started
    • Jupyter Notebooks
    • Python Packages
  • Part II — Python Basics
    • Pandas Introduction
    • Loading Data
    • Datetime Handling
    • Data Wrangling
    • Time Series
    • Exploratory Data Analysis (EDA)
    • Data Quality
    • Meteo Data
  • Part III — Data Visualizations
    • Statistical Plots
      • Boxplot
      • Histogram
      • Density Plot by Season
      • Correlation & Scatter
      • Outlier Detection
      • Autocorrelation
      • Cross-Correlation
    • Time Series Decomposition
      • Long-Term Decomposition
      • Short-Term Decomposition
    • Seasonal Visualizations
      • Overlapping Years
      • Miniplots
      • Polar Chart
      • Before / After Comparison
    • Heat Maps
      • Calendar Heat Map
      • Median Weeks
    • Daily Profiles
      • Overview
      • Overlaid Profiles
      • Mean Profile
      • Decomposed Profile
    • Sum & Frequency
      • Daily Duration Curve
      • Hourly Duration Curve
    • Comfort Diagrams
      • Temperature & Humidity Over Time
      • Temperature vs. Humidity
      • Mollier h-x Diagram
      • Comfort Donuts
      • Comfort Compass
      • SIA 180 Adaptive Comfort
    • Miscellaneous Visualizations
      • Energy Signature
      • Energy Signature (PES)
      • Electricity Household
      • Multiple Y-Axes
  • Appendix
    • Python Packages Overview
    • InfluxDB
    • Resources
    • Python Installation & IDE Setup
  • Repository
  • Open issue

Index

By Reto Marek

© Copyright 2021-2026.

Code: MIT License. Text and images: CC BY 4.0, except third-party data (see data sources and credits).