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Commit ceb9277

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Meteostat 1.6.4 (#108)
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‎README.md‎

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Meteorological data is provided under the terms of the [Creative Commons Attribution-NonCommercial 4.0 International Public License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). You may build upon the material
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for any purpose, even commercially. However, you are not allowed to redistribute Meteostat data "as-is" for commercial purposes.
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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).
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By using the Meteostat Python library you agree to our [terms of service](https://dev.meteostat.net/terms.html). All meteorological data sources used by the Meteostat project are listed [here](https://dev.meteostat.net/sources.html).
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## Code License
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‎examples/daily/chart.py‎

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data = data.fetch()
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# Plot chart
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data.plot(y=["tavg", "tmin", "tmax"])
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data.plot(y=["tavg", "tmin", "tmax", "prcp"], subplots=True)
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plt.show()

‎meteostat/__init__.py‎

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"""
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__appname__ = "meteostat"
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__version__ = "1.6.3"
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__version__ = "1.6.4"
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from .interface.base import Base
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from .interface.timeseries import TimeSeries

‎meteostat/interface/hourly.py‎

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self._annual_steps = [
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(start + timedelta(days=365 * i)).year
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for i in range(end.year - start.year + 1)
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for i in range(end.year - start.year + 2)
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]
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self._start = start

‎setup.py‎

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# Setup
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setup(
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name="meteostat",
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version="1.6.3",
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version="1.6.4",
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author="Meteostat",
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author_email="info@meteostat.net",
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description="Access and analyze historical weather and climate data with Python.",

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