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+%global _empty_manifest_terminate_build 0
+Name:		python-bar-chart-race
+Version:	0.1.0
+Release:	1
+Summary:	Create animated bar chart races using matplotlib
+License:	MIT
+URL:		https://github.com/dexplo/bar_chart_race
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/95/de/a7143a557e82e28310f4ca6eb7d42f6bfd76dcf7bb731ae58a41afb8b330/bar_chart_race-0.1.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pandas
+Requires:	python3-matplotlib
+
+%description
+# Bar Chart Race
+
+[![](https://img.shields.io/pypi/v/bar_chart_race)](https://pypi.org/project/bar_chart_race)
+[![PyPI - License](https://img.shields.io/pypi/l/bar_chart_race)](LICENSE)
+
+Make animated bar chart races in Python with matplotlib.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/covid19_horiz.gif)
+
+## Official Documentation
+
+Visit the [bar_chart_race official documentation](https://www.dexplo.org/bar_chart_race) for detailed usage instructions.
+
+## Installation
+
+Install with either:
+
+* `pip install bar_chart_race`
+* `conda install -c conda-forge bar_chart_race`
+
+## Quickstart
+
+Must begin with a pandas DataFrame containing 'wide' data where:
+
+* Every row represents a single period of time
+* Each column holds the value for a particular category
+* The index contains the time component (optional)
+
+The data below is an example of properly formatted data. It shows total deaths from COVID-19 for several countries by date.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/wide_data.png)
+
+### Main function - `bar_chart_race`
+
+There is one main function, **`bar_chart_race`**, which we use to recreate the above video. All parameters are shown with their default value except for `filename` and `title`.
+
+```python
+import bar_chart_race as bcr
+df = bcr.load_dataset('covid19_tutorial')
+bcr.bar_chart_race(
+    df=df,
+    filename='covid19_horiz.mp4',
+    orientation='h',
+    sort='desc',
+    n_bars=6,
+    fixed_order=False,
+    fixed_max=True,
+    steps_per_period=10,
+    interpolate_period=False,
+    label_bars=True,
+    bar_size=.95,
+    period_label={'x': .99, 'y': .25, 'ha': 'right', 'va': 'center'},
+    period_fmt='%B %d, %Y',
+    period_summary_func=lambda v, r: {'x': .99, 'y': .18,
+                                      's': f'Total deaths: {v.nlargest(6).sum():,.0f}',
+                                      'ha': 'right', 'size': 8, 'family': 'Courier New'},
+    perpendicular_bar_func='median',
+    period_length=500,
+    figsize=(5, 3),
+    dpi=144,
+    cmap='dark12',
+    title='COVID-19 Deaths by Country',
+    title_size='',
+    bar_label_size=7,
+    tick_label_size=7,
+    shared_fontdict={'family' : 'Helvetica', 'color' : '.1'},
+    scale='linear',
+    writer=None,
+    fig=None,
+    bar_kwargs={'alpha': .7},
+    filter_column_colors=False)  
+```
+
+### Save animation to disk or return HTML
+
+Leave the `filename` parameter as `None` to return the animation as HTML. If you are running a Jupyter Notebook, it will automatically be embedded into it.
+
+```python
+bcr.bar_chart_race(df=df, filename=None)
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/bcr_notebook.png)
+
+### Customization
+
+There are many options to customize the bar chart race to get the animation you desire. Below, we have an animation where the maximum x-value and order of the bars are set for the entire duration. A custom summary label and perpendicular bar of median is also added.
+
+```python
+def period_summary(values, ranks):
+    top2 = values.nlargest(2)
+    leader = top2.index[0]
+    lead = top2.iloc[0] - top2.iloc[1]
+    s = f'{leader} by {lead:.0f}'
+    return {'s': s, 'x': .95, 'y': .07, 'ha': 'right', 'size': 8}
+
+bcr.bar_chart_race(df_baseball, period_length=1000,
+                   fixed_max=True, fixed_order=True, n_bars=10,
+                   figsize=(5, 3), period_fmt='Season {x:,.0f}',
+                   title='Top 10 Home Run Hitters by Season Played')
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/prepare_long.gif)
+
+
+
+%package -n python3-bar-chart-race
+Summary:	Create animated bar chart races using matplotlib
+Provides:	python-bar-chart-race
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-bar-chart-race
+# Bar Chart Race
+
+[![](https://img.shields.io/pypi/v/bar_chart_race)](https://pypi.org/project/bar_chart_race)
+[![PyPI - License](https://img.shields.io/pypi/l/bar_chart_race)](LICENSE)
+
+Make animated bar chart races in Python with matplotlib.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/covid19_horiz.gif)
+
+## Official Documentation
+
+Visit the [bar_chart_race official documentation](https://www.dexplo.org/bar_chart_race) for detailed usage instructions.
+
+## Installation
+
+Install with either:
+
+* `pip install bar_chart_race`
+* `conda install -c conda-forge bar_chart_race`
+
+## Quickstart
+
+Must begin with a pandas DataFrame containing 'wide' data where:
+
+* Every row represents a single period of time
+* Each column holds the value for a particular category
+* The index contains the time component (optional)
+
+The data below is an example of properly formatted data. It shows total deaths from COVID-19 for several countries by date.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/wide_data.png)
+
+### Main function - `bar_chart_race`
+
+There is one main function, **`bar_chart_race`**, which we use to recreate the above video. All parameters are shown with their default value except for `filename` and `title`.
+
+```python
+import bar_chart_race as bcr
+df = bcr.load_dataset('covid19_tutorial')
+bcr.bar_chart_race(
+    df=df,
+    filename='covid19_horiz.mp4',
+    orientation='h',
+    sort='desc',
+    n_bars=6,
+    fixed_order=False,
+    fixed_max=True,
+    steps_per_period=10,
+    interpolate_period=False,
+    label_bars=True,
+    bar_size=.95,
+    period_label={'x': .99, 'y': .25, 'ha': 'right', 'va': 'center'},
+    period_fmt='%B %d, %Y',
+    period_summary_func=lambda v, r: {'x': .99, 'y': .18,
+                                      's': f'Total deaths: {v.nlargest(6).sum():,.0f}',
+                                      'ha': 'right', 'size': 8, 'family': 'Courier New'},
+    perpendicular_bar_func='median',
+    period_length=500,
+    figsize=(5, 3),
+    dpi=144,
+    cmap='dark12',
+    title='COVID-19 Deaths by Country',
+    title_size='',
+    bar_label_size=7,
+    tick_label_size=7,
+    shared_fontdict={'family' : 'Helvetica', 'color' : '.1'},
+    scale='linear',
+    writer=None,
+    fig=None,
+    bar_kwargs={'alpha': .7},
+    filter_column_colors=False)  
+```
+
+### Save animation to disk or return HTML
+
+Leave the `filename` parameter as `None` to return the animation as HTML. If you are running a Jupyter Notebook, it will automatically be embedded into it.
+
+```python
+bcr.bar_chart_race(df=df, filename=None)
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/bcr_notebook.png)
+
+### Customization
+
+There are many options to customize the bar chart race to get the animation you desire. Below, we have an animation where the maximum x-value and order of the bars are set for the entire duration. A custom summary label and perpendicular bar of median is also added.
+
+```python
+def period_summary(values, ranks):
+    top2 = values.nlargest(2)
+    leader = top2.index[0]
+    lead = top2.iloc[0] - top2.iloc[1]
+    s = f'{leader} by {lead:.0f}'
+    return {'s': s, 'x': .95, 'y': .07, 'ha': 'right', 'size': 8}
+
+bcr.bar_chart_race(df_baseball, period_length=1000,
+                   fixed_max=True, fixed_order=True, n_bars=10,
+                   figsize=(5, 3), period_fmt='Season {x:,.0f}',
+                   title='Top 10 Home Run Hitters by Season Played')
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/prepare_long.gif)
+
+
+
+%package help
+Summary:	Development documents and examples for bar-chart-race
+Provides:	python3-bar-chart-race-doc
+%description help
+# Bar Chart Race
+
+[![](https://img.shields.io/pypi/v/bar_chart_race)](https://pypi.org/project/bar_chart_race)
+[![PyPI - License](https://img.shields.io/pypi/l/bar_chart_race)](LICENSE)
+
+Make animated bar chart races in Python with matplotlib.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/covid19_horiz.gif)
+
+## Official Documentation
+
+Visit the [bar_chart_race official documentation](https://www.dexplo.org/bar_chart_race) for detailed usage instructions.
+
+## Installation
+
+Install with either:
+
+* `pip install bar_chart_race`
+* `conda install -c conda-forge bar_chart_race`
+
+## Quickstart
+
+Must begin with a pandas DataFrame containing 'wide' data where:
+
+* Every row represents a single period of time
+* Each column holds the value for a particular category
+* The index contains the time component (optional)
+
+The data below is an example of properly formatted data. It shows total deaths from COVID-19 for several countries by date.
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/wide_data.png)
+
+### Main function - `bar_chart_race`
+
+There is one main function, **`bar_chart_race`**, which we use to recreate the above video. All parameters are shown with their default value except for `filename` and `title`.
+
+```python
+import bar_chart_race as bcr
+df = bcr.load_dataset('covid19_tutorial')
+bcr.bar_chart_race(
+    df=df,
+    filename='covid19_horiz.mp4',
+    orientation='h',
+    sort='desc',
+    n_bars=6,
+    fixed_order=False,
+    fixed_max=True,
+    steps_per_period=10,
+    interpolate_period=False,
+    label_bars=True,
+    bar_size=.95,
+    period_label={'x': .99, 'y': .25, 'ha': 'right', 'va': 'center'},
+    period_fmt='%B %d, %Y',
+    period_summary_func=lambda v, r: {'x': .99, 'y': .18,
+                                      's': f'Total deaths: {v.nlargest(6).sum():,.0f}',
+                                      'ha': 'right', 'size': 8, 'family': 'Courier New'},
+    perpendicular_bar_func='median',
+    period_length=500,
+    figsize=(5, 3),
+    dpi=144,
+    cmap='dark12',
+    title='COVID-19 Deaths by Country',
+    title_size='',
+    bar_label_size=7,
+    tick_label_size=7,
+    shared_fontdict={'family' : 'Helvetica', 'color' : '.1'},
+    scale='linear',
+    writer=None,
+    fig=None,
+    bar_kwargs={'alpha': .7},
+    filter_column_colors=False)  
+```
+
+### Save animation to disk or return HTML
+
+Leave the `filename` parameter as `None` to return the animation as HTML. If you are running a Jupyter Notebook, it will automatically be embedded into it.
+
+```python
+bcr.bar_chart_race(df=df, filename=None)
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/bcr_notebook.png)
+
+### Customization
+
+There are many options to customize the bar chart race to get the animation you desire. Below, we have an animation where the maximum x-value and order of the bars are set for the entire duration. A custom summary label and perpendicular bar of median is also added.
+
+```python
+def period_summary(values, ranks):
+    top2 = values.nlargest(2)
+    leader = top2.index[0]
+    lead = top2.iloc[0] - top2.iloc[1]
+    s = f'{leader} by {lead:.0f}'
+    return {'s': s, 'x': .95, 'y': .07, 'ha': 'right', 'size': 8}
+
+bcr.bar_chart_race(df_baseball, period_length=1000,
+                   fixed_max=True, fixed_order=True, n_bars=10,
+                   figsize=(5, 3), period_fmt='Season {x:,.0f}',
+                   title='Top 10 Home Run Hitters by Season Played')
+```
+
+![img](https://raw.githubusercontent.com/dexplo/bar_chart_race/master/docs/images/prepare_long.gif)
+
+
+
+%prep
+%autosetup -n bar-chart-race-0.1.0
+
+%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-bar-chart-race -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.0-1
+- Package Spec generated