meteostat 2.1.3
Access and analyze historical weather and climate data with Python.
Requires Python: <4.0,>=3.11

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  <h3 align="center">Meteostat Python Package</h3>

  <p align="center">
    Access and analyze historical weather and climate data with Python.
    <p>
      <a href="https://dev.meteostat.net/python"><strong>Explore the docs »</strong></a>
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      <a href="https://meteostat.net">Visit Website</a>
      &middot;
      <a href="https://github.com/meteostat/meteostat/issues">Report Bug</a>
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## 📚 Installation

The Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):

```sh
pip install meteostat
```

## 🚀 Usage

Let's plot 2018 temperature data for Frankfurt, Germany:

```python
from datetime import date
import matplotlib.pyplot as plt
import meteostat as ms

# Specify location and time range
POINT = ms.Point(50.1155, 8.6842, 113)  # Try with your location
START = date(2018, 1, 1)
END = date(2018, 12, 31)

# Get nearby weather stations
stations = ms.stations.nearby(POINT, limit=4)

# Get daily data & perform interpolation
ts = ms.daily(stations, START, END)
df = ms.interpolate(ts, POINT).fetch()

# Plot line chart including average, minimum and maximum temperature
df.plot(y=[ms.Parameter.TEMP, ms.Parameter.TMIN, ms.Parameter.TMAX])
plt.show()
```

Take a look at the expected output:

![2018 temperature data for Frankfurt, Germany][product-screenshot]

## 🤝 Contributing

Please read our [contributing guidelines](https://dev.meteostat.net/python/contributing) for details on how to contribute to the Meteostat Python library.

**Top contributors**

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## 🌟 Featured In

Meteostat has been featured and used by various media outlets and organizations, including:

- [Towards Data Science](https://towardsdatascience.com/get-temperature-data-by-location-with-python-52ed872dd621/)
- [ZEIT ONLINE](https://www.zeit.de/digital/internet/2022-03/desinformation-russland-ukraine-fotos-fake-news-falschinformation-echtheit)
- [Deutsche Presse-Agentur (dpa)](https://dpa-factchecking.com/germany/230103-99-92282/)
- [heise online](https://www.heise.de/news/Open-Source-Projekt-zu-Klimadaten-Meteostat-Python-Library-1-0-erschienen-4985015.html)

Join the growing community of users and researchers relying on Meteostat for their weather data needs.

## 📄 License

Meteostat is licensed under the [**MIT License**](https://github.com/meteostat/meteostat/blob/main/LICENSE). Data provided by Meteostat is generally licensed under the [**Creative Commons Attribution 4.0 International (CC BY 4.0)**](https://creativecommons.org/licenses/by/4.0) license. Please refer to the [documentation](https://dev.meteostat.net/license) for more information.


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