Spacewalks is a Python analysis tool for researchers to generate visualisations and statistical summaries of NASA's extravehicular activity datasets.
Key features of Spacewalks:
- Generates a CSV table of summary statistics of extravehicular activity crew sizes
- Generates a line plot to show the cumulative duration of space walks over time
Spacewalks was developed using Python version 3.12
To install and run Spacewalks you will need have Python >=3.12 installed. You will also need the following libraries (minimum versions in brackets)
- NumPy >=2.0.0 - Spacewalk's test suite uses NumPy's statistical functions
- Matplotlib >=3.0.0 - Spacewalks uses Matplotlib to make plots
- pytest >=8.2.0 - Spacewalks uses pytest for testing
- pandas >= 2.2.0 - Spacewalks uses pandas for data frame manipulation
- Clone the Spacewalks repository to your local machine using Git. If you don't have Git installed, you can download it from the official Git website.
git clone https://github.com/your-repository-url/spacewalks.git
cd spacewalks- Install the necessary dependencies:
python3 -m pip install pandas==2.2.2 matplotlib==3.8.4 numpy==2.0.0 pytest==7.4.2
- To ensure everything is working correctly, run the tests using pytest.
python3 -m pytest
To run an analysis using the eva_data_analysis.py script from the command line terminal, launch the script using Python as follows:
# Usage Examples
python3 eva_data_analysis.py eva-data.json eva-data.csv
The first argument is path to the JSON data file. The second argument is the path the CSV output file.