Meteostat Python Package
Access and analyze historical weather and climate data with Python.
📚 Installation
The Meteostat Python package is available through PyPI:
pip install meteostat
🚀 Usage
Let's plot 2018 temperature data for Frankfurt, Germany:
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:
🤝 Contributing
Please read our contributing guidelines for details on how to contribute to the Meteostat Python library.
🌟 Featured In
Meteostat has been featured and used by various media outlets and organizations, including:
Join the growing community of users and researchers relying on Meteostat for their weather data needs.
📄 License
Meteostat is licensed under the MIT License. Data provided by Meteostat is generally licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Please refer to the documentation for more information.
1 maintainer
Metadata
1 maintainer
Release files for meteostat 2.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| meteostat-2.1.5.tar.gz | 59.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meteostat-2.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 153.3 kB
Release files / meteostat-2.1.5.tar.gz
| Download URL | meteostat-2.1.5.tar.gz |
|---|---|
| Size | 59.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9a245313feb5e7b74f5be78cb9a2d2d6f700effc164c22732fc31da9782ad5fe
|
|
BLAKE2b-256 checksum How to use checksums |
1a1bf4e08a131b535e7f2a5bcfcc2fe9b5774d9670cbfccbc4c290ccf92223f2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Release files / meteostat-2.1.5-py3-none-any.whl
| Download URL | meteostat-2.1.5-py3-none-any.whl |
|---|---|
| Size | 94.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a9234959c3e9bc8f426231754198adddb1a8b7a1b9ecbabbcedbe889e7d8f93b
|
|
BLAKE2b-256 checksum How to use checksums |
4725695f01318f9fb2d4903ff9f681b9fe57cb4104d9a34dccb0f30866e3a499
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Security for meteostat 2.1.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
