automatic import of python-meteostatopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/meteostat-1.6.5.tar.gz
diff --git a/python-meteostat.spec b/python-meteostat.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-meteostat
+Version:	1.6.5
+Release:	1
+Summary:	Access and analyze historical weather and climate data with Python.
+License:	MIT
+URL:		https://github.com/meteostat/meteostat-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/87/4e/7c657eaa0e11f76238ee87c157ff673ecd7a00a8f7cf177eb8e001cdf1b9/meteostat-1.6.5.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-pytz
+Requires:	python3-numpy
+
+%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).
+
+Are you looking for a **hosted solution**? Try our [JSON API](https://rapidapi.com/meteostat/api/meteostat/).
+
+## Installation
+
+The Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):
+
+```sh
+pip install meteostat
+```
+
+Meteostat **requires Python 3.6** 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:
+
+* **Selecting Locations**
+  * [Geographical Point](https://dev.meteostat.net/python/point.html)
+  * [Weather Stations](https://dev.meteostat.net/python/stations.html)
+* **Time Series**
+  * [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)
+* **Miscellaneous Data**
+  * [Climate Normals](https://dev.meteostat.net/python/normals.html)
+* **Library**
+  * [Contributing](https://dev.meteostat.net/python/contributing.html)
+  * [Formats & Units](https://dev.meteostat.net/formats.html)
+  * [Data Sources](https://dev.meteostat.net/sources.html)
+  * [Terms & License](https://dev.meteostat.net/terms.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
+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](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/).
+
+## Donating
+
+If you want to support the project financially, you can make a donation using one of the following services:
+
+* [GitHub](https://github.com/sponsors/clampr)
+* [Patreon](https://www.patreon.com/meteostat)
+* [PayPal](https://www.paypal.com/donate?hosted_button_id=MQ67WRDC8EW38)
+
+## 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)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). 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](https://dev.meteostat.net/terms.html). All meteorological data sources used by the Meteostat project are listed [here](https://dev.meteostat.net/sources.html).
+
+## Code License
+
+The code of this library is available under the [MIT license](https://opensource.org/licenses/MIT).
+
+
+
+
+%package -n python3-meteostat
+Summary:	Access and analyze historical weather and climate data with Python.
+Provides:	python-meteostat
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-meteostat
+# 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).
+
+Are you looking for a **hosted solution**? Try our [JSON API](https://rapidapi.com/meteostat/api/meteostat/).
+
+## Installation
+
+The Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):
+
+```sh
+pip install meteostat
+```
+
+Meteostat **requires Python 3.6** 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:
+
+* **Selecting Locations**
+  * [Geographical Point](https://dev.meteostat.net/python/point.html)
+  * [Weather Stations](https://dev.meteostat.net/python/stations.html)
+* **Time Series**
+  * [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)
+* **Miscellaneous Data**
+  * [Climate Normals](https://dev.meteostat.net/python/normals.html)
+* **Library**
+  * [Contributing](https://dev.meteostat.net/python/contributing.html)
+  * [Formats & Units](https://dev.meteostat.net/formats.html)
+  * [Data Sources](https://dev.meteostat.net/sources.html)
+  * [Terms & License](https://dev.meteostat.net/terms.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
+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](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/).
+
+## Donating
+
+If you want to support the project financially, you can make a donation using one of the following services:
+
+* [GitHub](https://github.com/sponsors/clampr)
+* [Patreon](https://www.patreon.com/meteostat)
+* [PayPal](https://www.paypal.com/donate?hosted_button_id=MQ67WRDC8EW38)
+
+## 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)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). 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](https://dev.meteostat.net/terms.html). All meteorological data sources used by the Meteostat project are listed [here](https://dev.meteostat.net/sources.html).
+
+## Code License
+
+The code of this library is available under the [MIT license](https://opensource.org/licenses/MIT).
+
+
+
+
+%package help
+Summary:	Development documents and examples for meteostat
+Provides:	python3-meteostat-doc
+%description help
+# 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).
+
+Are you looking for a **hosted solution**? Try our [JSON API](https://rapidapi.com/meteostat/api/meteostat/).
+
+## Installation
+
+The Meteostat Python package is available through [PyPI](https://pypi.org/project/meteostat/):
+
+```sh
+pip install meteostat
+```
+
+Meteostat **requires Python 3.6** 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:
+
+* **Selecting Locations**
+  * [Geographical Point](https://dev.meteostat.net/python/point.html)
+  * [Weather Stations](https://dev.meteostat.net/python/stations.html)
+* **Time Series**
+  * [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)
+* **Miscellaneous Data**
+  * [Climate Normals](https://dev.meteostat.net/python/normals.html)
+* **Library**
+  * [Contributing](https://dev.meteostat.net/python/contributing.html)
+  * [Formats & Units](https://dev.meteostat.net/formats.html)
+  * [Data Sources](https://dev.meteostat.net/sources.html)
+  * [Terms & License](https://dev.meteostat.net/terms.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
+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](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/).
+
+## Donating
+
+If you want to support the project financially, you can make a donation using one of the following services:
+
+* [GitHub](https://github.com/sponsors/clampr)
+* [Patreon](https://www.patreon.com/meteostat)
+* [PayPal](https://www.paypal.com/donate?hosted_button_id=MQ67WRDC8EW38)
+
+## 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)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). 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](https://dev.meteostat.net/terms.html). All meteorological data sources used by the Meteostat project are listed [here](https://dev.meteostat.net/sources.html).
+
+## Code License
+
+The code of this library is available under the [MIT license](https://opensource.org/licenses/MIT).
+
+
+
+
+%prep
+%autosetup -n meteostat-1.6.5
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-meteostat -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.6.5-1
+- Package Spec generated
diff --git a/sources b/sources
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--- /dev/null
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@@ -0,0 +1 @@
+09ed6bddd32899cdb99def6b082690e1  meteostat-1.6.5.tar.gz