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+%global _empty_manifest_terminate_build 0
+Name:		python-WorldWeatherPy
+Version:	0.0.3
+Release:	1
+Summary:	A Python library which acts as a wrapper for the WorldWeatherOnline API.
+License:	MIT License
+URL:		https://github.com/David-Woroniuk/Weather-API
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/12/4e/f55a6341c98eb30f2255fef1197ee9beff61205cd9c617df96788a7633bb/WorldWeatherPy-0.0.3.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-requests
+
+%description
+# WorldWeatherPy
+
+A Python library for the retrieval of historical weather data.
+
+This library scrapes [WorldWeatherOnline.com][website] to collect historical weather data, returning a Pandas DataFrame. 
+The DetermineListOfAttributes class returns all weather attributes available for retrieval through the [WorldWeatherOnline.com][website] API, whilst the HistoricalLocationWeather class retrieves an array of typically required weather attributes. The RetrieveByAttribute class can be used to request specific weather attributes, or a list of specific weather attributes, as available through the DetermineListOfAttributes class.
+
+## Installation
+
+From Python:
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+from WorldWeatherPy import HistoricalLocationWeather
+from WorldWeatherPy import RetrieveByAttribute
+```
+
+## Usage
+
+
+#### If you are unsure of the available weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+attributes = DetermineListOfAttributes(api_key, True).retrieve_list_of_options()
+```
+Returns a list containing all available weather attributes. If 'verbose' is set to True, this will be printed within the function call.
+
+#### If you would like to retrieve standard weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import HistoricalLocationWeather
+dataset = HistoricalLocationWeather(api_key, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains an array of weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+#### If you would like to retrieve specific weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import RetrieveByAttribute
+dataset = RetrieveByAttribute(api_key, attribute_list, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains a list of pre-specified weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+
+## Input Arguments
+
+| Argument | Description |
+| ------ | --------- |
+| api_key | the API key obtained from [https://www.worldweatheronline.com/developer/][API KEY]. (str) |
+| attribute_list | a list of weather attributes to collect. (list) |
+| city | a city for which to retrieve data. (str).  |
+| start_date | a string in the format YYYY-MM-DD (str). |
+| end_date | a string in the format YYYY-MM-DD (str). |
+| frequency | the frequency of extracted data, measured in hours. (int) |
+| verbose | boolean determining printing during data extraction. (bool) [Default = True] |
+| csv_directory | an optional file directory to store the output. (os directory) [Default = None] |
+
+
+   [website]: <https://www.worldweatheronline.com/>
+   [API KEY]: <https://www.worldweatheronline.com/developer/>
+
+
+
+
+
+
+
+%package -n python3-WorldWeatherPy
+Summary:	A Python library which acts as a wrapper for the WorldWeatherOnline API.
+Provides:	python-WorldWeatherPy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-WorldWeatherPy
+# WorldWeatherPy
+
+A Python library for the retrieval of historical weather data.
+
+This library scrapes [WorldWeatherOnline.com][website] to collect historical weather data, returning a Pandas DataFrame. 
+The DetermineListOfAttributes class returns all weather attributes available for retrieval through the [WorldWeatherOnline.com][website] API, whilst the HistoricalLocationWeather class retrieves an array of typically required weather attributes. The RetrieveByAttribute class can be used to request specific weather attributes, or a list of specific weather attributes, as available through the DetermineListOfAttributes class.
+
+## Installation
+
+From Python:
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+from WorldWeatherPy import HistoricalLocationWeather
+from WorldWeatherPy import RetrieveByAttribute
+```
+
+## Usage
+
+
+#### If you are unsure of the available weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+attributes = DetermineListOfAttributes(api_key, True).retrieve_list_of_options()
+```
+Returns a list containing all available weather attributes. If 'verbose' is set to True, this will be printed within the function call.
+
+#### If you would like to retrieve standard weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import HistoricalLocationWeather
+dataset = HistoricalLocationWeather(api_key, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains an array of weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+#### If you would like to retrieve specific weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import RetrieveByAttribute
+dataset = RetrieveByAttribute(api_key, attribute_list, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains a list of pre-specified weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+
+## Input Arguments
+
+| Argument | Description |
+| ------ | --------- |
+| api_key | the API key obtained from [https://www.worldweatheronline.com/developer/][API KEY]. (str) |
+| attribute_list | a list of weather attributes to collect. (list) |
+| city | a city for which to retrieve data. (str).  |
+| start_date | a string in the format YYYY-MM-DD (str). |
+| end_date | a string in the format YYYY-MM-DD (str). |
+| frequency | the frequency of extracted data, measured in hours. (int) |
+| verbose | boolean determining printing during data extraction. (bool) [Default = True] |
+| csv_directory | an optional file directory to store the output. (os directory) [Default = None] |
+
+
+   [website]: <https://www.worldweatheronline.com/>
+   [API KEY]: <https://www.worldweatheronline.com/developer/>
+
+
+
+
+
+
+
+%package help
+Summary:	Development documents and examples for WorldWeatherPy
+Provides:	python3-WorldWeatherPy-doc
+%description help
+# WorldWeatherPy
+
+A Python library for the retrieval of historical weather data.
+
+This library scrapes [WorldWeatherOnline.com][website] to collect historical weather data, returning a Pandas DataFrame. 
+The DetermineListOfAttributes class returns all weather attributes available for retrieval through the [WorldWeatherOnline.com][website] API, whilst the HistoricalLocationWeather class retrieves an array of typically required weather attributes. The RetrieveByAttribute class can be used to request specific weather attributes, or a list of specific weather attributes, as available through the DetermineListOfAttributes class.
+
+## Installation
+
+From Python:
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+from WorldWeatherPy import HistoricalLocationWeather
+from WorldWeatherPy import RetrieveByAttribute
+```
+
+## Usage
+
+
+#### If you are unsure of the available weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import DetermineListOfAttributes
+attributes = DetermineListOfAttributes(api_key, True).retrieve_list_of_options()
+```
+Returns a list containing all available weather attributes. If 'verbose' is set to True, this will be printed within the function call.
+
+#### If you would like to retrieve standard weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import HistoricalLocationWeather
+dataset = HistoricalLocationWeather(api_key, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains an array of weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+#### If you would like to retrieve specific weather attributes:
+
+```python
+pip install WorldWeatherPy
+from WorldWeatherPy import RetrieveByAttribute
+dataset = RetrieveByAttribute(api_key, attribute_list, city, start_date, end_date, frequency).retrieve_hist_data()
+```
+Returns a Pandas DataFrame 'dataset', which contains a list of pre-specified weather attributes for the given city, between the start and end dates specified, with hourly frequency, indexed by date and time.
+
+
+## Input Arguments
+
+| Argument | Description |
+| ------ | --------- |
+| api_key | the API key obtained from [https://www.worldweatheronline.com/developer/][API KEY]. (str) |
+| attribute_list | a list of weather attributes to collect. (list) |
+| city | a city for which to retrieve data. (str).  |
+| start_date | a string in the format YYYY-MM-DD (str). |
+| end_date | a string in the format YYYY-MM-DD (str). |
+| frequency | the frequency of extracted data, measured in hours. (int) |
+| verbose | boolean determining printing during data extraction. (bool) [Default = True] |
+| csv_directory | an optional file directory to store the output. (os directory) [Default = None] |
+
+
+   [website]: <https://www.worldweatheronline.com/>
+   [API KEY]: <https://www.worldweatheronline.com/developer/>
+
+
+
+
+
+
+
+%prep
+%autosetup -n WorldWeatherPy-0.0.3
+
+%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-WorldWeatherPy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.3-1
+- Package Spec generated