🌧️ Rainfall Rituals: Munich Rain Analysis 📊🔮

Welcome to Rainfall Rituals, a meteorological spellbook of Python scripts that analyze over 40 years of rainfall data from Munich. I originally started this project to find out weather there's more rain on weekends versus weekdays. Turns out that yes, there is a slight effect, but more interestingly, wednesdays are consistently the dryest!

Each script has both English and German versions for accessibility and linguistic clarity.

---

🧪 What’s Inside?

This repository contains six Python scripts and supporting material:

📁 Scripts

Script Name	Description
AverageRainfallWeekdayScriptEn.py	Calculates average rainfall per weekday
StrongRainfallWeekdayScriptEn.py	Counts days with rainfall above a defined threshold per weekday
YearlyHeavyRainfallScriptEn.py	Plots yearly total rainfall, colored by frequency of heavy rain days
*Ge.py equivalents	German versions of the above scripts

📁 Sample Data

Three folders of .csv files with daily rainfall records from three different Munich weather stations. Each file contains:

• Datum: Date in format Mo 01.01. (includes weekday prefix)
• Niederschlag_in_Liter_pro_m²: Daily rainfall in L/m²

Weather data provided by the Deutsche Wetterdienst, sourced through wetterkontor.de

📁 Sample Graphs

Rendered .png visualizations produced by the scripts. Includes average and heavy rainfall patterns per weekday and per year.

---

🧙‍♂️ Usage Instructions

1. Setup

Make sure you have Python 3.7 installed, then install the required packages:

pip install pandas matplotlib

2. Folder Structure

Your project directory should look like this:

Rainfall-Rituals/
├── data/
│ ├── Muenchen-Stadt/
│ │ ├── Muenchen_Stadt_1982T3.csv
│ │ └── ...
│ ├── Muenchen-Flughafen/
│ └── ...
├── graphs/
│ ├── average_weekday_rainfall.png
│ ├── heavy_rain_days_per_weekday.png
│ └── yearly_total_rainfall.png
├── AverageRainfallWeekdayScriptEn.py
├── AverageRainfallWeekdayScriptGe.py
├── StrongRainfallWeekdayScriptEn.py
├── StrongRainfallWeekdayScriptGe.py
├── YearlyHeavyRainfallScriptEn.py
├── YearlyHeavyRainfallScriptGe.py
└── README.md\

Update the file paths in each script to match your system, e.g.:

for filename in glob.glob("data/Muenchen-Flughafen/*.csv"):

3. How to Run

Choose your preferred language and script. Then run with Python:

python AverageRainfallWeekdayScriptEn.py

Each script performs the following:

• Loads .csv data files from the data/ directory
• Extracts "year" from the file name
• Extracts and parses dates and rainfall values
• Filters invalid or erroneous data
• Performs statistical grouping by weekday or year
• Generates a plot and displays it
• Saves output plots into the graphs/ folder

4. Customization

• Rain threshold in the strong rainfall scripts can be adjusted via the RainyDayCutoff variable.
• Change the data path by editing the glob.glob("...") line near the top of each script.
• Modify figure aesthetics via matplotlib settings near the bottom.
• Modify the data frame by adding logic before the data concatenation into df_final, for example to find out how often it rains on your birthday!

5. Requirements

• Python 3.7+
• Required packages:

  pip install pandas matplotlib

6. License & Credits

Crafted with care by Merlin, master of natural magic and data rituals.
Released under the MIT License. Enjoy playing with my work!

---