meteostat

Access and analyze historical weather and climate data with Python.

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Meteostat Python Package

The Meteostat Python library provides a simple API for accessing open weather and climate data. The historical observations and statistics are collected by Meteostat from different public interfaces, most of which are governmental.

Among the data sources are national weather services like the National Oceanic and Atmospheric Administration (NOAA) and Germany's national meteorological service (DWD).

Are you looking for a hosted solution? Try our JSON API.

Installation

The Meteostat Python package is available through PyPI:

pip install meteostat

Meteostat requires Python 3.5 or higher. If you want to visualize data, please install Matplotlib, too.

Documentation

The Meteostat Python library is divided into multiple classes which provide access to the actual data. The documentation covers all aspects of the library:

Example

Let's plot 2018 temperature data for Vancouver, BC:

# Import Meteostat library and dependencies
from datetime import datetime
import matplotlib.pyplot as plt
from meteostat import Point, Daily

# Set time period
start = datetime(2018, 1, 1)
end = datetime(2018, 12, 31)

# Create Point for Vancouver, BC
location = Point(49.2497, -123.1193, 70)

# Get daily data for 2018
data = Daily(location, start, end)
data = data.fetch()

# Plot line chart including average, minimum and maximum temperature
data.plot(y=['tavg', 'tmin', 'tmax'])
plt.show()

Take a look at the expected output:

2018 temperature data for Vancouver, BC

Contributing

Instructions on building and testing the Meteostat Python package can be found in the documentation. More information about the Meteostat bulk data interface is available here.

Donating

If you want to support the project financially, you can make a donation using one of the following services:

Data License

Meteorological data is provided under the terms of the Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0). You may build upon the material for any purpose, even commercially. However, you are not allowed to redistribute Meteostat data "as-is" for commercial purposes.

By using the Meteostat Python library you agree to our terms of service. All meteorological data sources used by the Meteostat project are listed here.

Code License

The code of this library is available under the MIT license.

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