Metadata-Version: 2.1
Name: meteostat
Version: 1.3.4
Summary: Access and analyze historical weather and climate data with Python.
Home-page: https://github.com/meteostat/meteostat-python
Author: Meteostat
Author-email: info@meteostat.net
License: MIT
Description: # 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](https://meteostat.net) 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).
        
        ## Installation
        
        The Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):
        
        ```sh
        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](https://dev.meteostat.net/python/) covers all aspects of the library:
        
        * [Geographical Point](https://dev.meteostat.net/python/point.html)
        * [Weather Stations](https://dev.meteostat.net/python/stations.html)
        * [Hourly Data](https://dev.meteostat.net/python/hourly.html)
        * [Daily Data](https://dev.meteostat.net/python/daily.html)
        * [Monthly Data](https://dev.meteostat.net/python/monthly.html)
        * [Climate Normals](https://dev.meteostat.net/python/normals.html)
        * [Contributing](https://dev.meteostat.net/python/contributing.html)
        
        ## Example
        
        Let's plot 2018 temperature data for Vancouver, BC:
        
        ```python
        # 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
        vancouver = Point(49.2497, -123.1193, 70)
        
        # Get daily data for 2018
        data = Daily(vancouver, 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](https://dev.meteostat.net/assets/img/py-example-chart.046f8b8e.png)
        
        ## Contributing
        
        Instructions on building and testing the Meteostat Python package can be found in the [documentation](https://dev.meteostat.net/python/contributing.html). More information about the Meteostat bulk data interface is available [here](https://dev.meteostat.net/bulk/).
        
        If you want to support the project financially, you can make a donation via [PayPal](https://paypal.me/meteostat).
        
        ## Data License
        
        Meteorological data is provided under the terms of the [Creative Commons Attribution-NonCommercial 4.0 International Public License](https://creativecommons.org/licenses/by-nc/4.0/legalcode). 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](https://dev.meteostat.net/docs/terms.html). All meteorological data sources used by the Meteostat project are listed [here](https://dev.meteostat.net/docs/sources.html).
        
        ## Code License
        
        The code of this library is available under the [MIT license](https://opensource.org/licenses/MIT).
        
Keywords: weather,climate,data,timeseries,meteorology
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Database
Classifier: Topic :: Scientific/Engineering :: Atmospheric Science
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Visualization
Requires-Python: >=3.5.0
Description-Content-Type: text/markdown
