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Sample Data Plotting (earth science)

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Prerequisites

1. Install VSCode.
2. Go to Extensions in VSCode and install Jupyter Notebook and Python (newest versions).
3. Now go to the menu header "Terminal" and open up a new Terminal.
4. Run the following commands in the terminal:

• pip install --upgrade pandas
• pip install --upgrade numpy
• pip install --upgrade matplotlib

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Files

• "runnable.ipynb" contains all the runnable code.
• "config" contains all config files.
• "sample" is where the sample is stored.
• "plots" is where the plots are saved to after running the code.

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Important

• Always run the codeblocks in the right order (first to last), alternatively you can use "Run All".

• When making changes to the code or plotting, read the code comments carefully before proceeding.

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Description

1. The first codeblock is used solely for data import and is necessary for the rest of the codeblocks.

2. The second codeblock is used to create a config file placeholder in .csv format. To make use of this placeholder file, convert it into .xlsx format (using Excel) and save it from "parameter_hier_einstellen.csv" to "eingestellte_parameter.csv". Now you can set the parameters (columns) for each plot (rows) by inserting a "1" to activate the config setting at the desired place.

3. The third codeblock is used to process the given data and create a scatter plot based on data and config settings.

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