https://github.com/patex1987/ghcn-temperature-dataset
Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
https://github.com/patex1987/ghcn-temperature-dataset
climate-data jupyter-notebook numpy python temperature-data
Last synced: 3 months ago
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Analysis of GHCN (Global Historical Climatology Network) temperature dataset using Numpy
- Host: GitHub
- URL: https://github.com/patex1987/ghcn-temperature-dataset
- Owner: patex1987
- Created: 2017-11-25T22:36:31.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-11-25T23:00:50.000Z (over 8 years ago)
- Last Synced: 2025-03-12T03:37:33.941Z (over 1 year ago)
- Topics: climate-data, jupyter-notebook, numpy, python, temperature-data
- Language: Jupyter Notebook
- Size: 2.99 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# GHCN daily temperature analysis
Analysis of the GHCN temperature dataset using Numpy. This notebook is part of my data analysis course I am currently preparing for the [Engeto IT academy](https://engeto.cz/). This tutorial contains the following tasks and solutions:
- How to download data from an FTP server using Python
- How to use the GHCN-daily temperature dataset?
- How to find the ID and name of the available temperature stations?
- How to import daily temperature readings into Numpy?
- How to handle missing data?
- How to smooth time-based data (using moving average) in Numpy?
- How to resample daily data into monthly averages?
- How to compare monthly averages using matplotlib?
Data description and more info can be found in the notebook
## Installation
> `requirements.txt` will be added later
## Usage
Run the `GHCN_numpy_analysis.ipynb` using Jupyter notebook
## Release History
To be added later
## Meta
Gabor Patassy – patex1987@gmail.com
[https://github.com/patex1987](https://github.com/patex1987)
## Contributing
To be added later