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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://pypi.org/project/bar_chart_race)
[](LICENSE)
Make animated bar chart races in Python with matplotlib.
## 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.
### 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)
```
### 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')
```
%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://pypi.org/project/bar_chart_race)
[](LICENSE)
Make animated bar chart races in Python with matplotlib.
## 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.
### 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)
```
### 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')
```
%package help
Summary: Development documents and examples for bar-chart-race
Provides: python3-bar-chart-race-doc
%description help
# Bar Chart Race
[](https://pypi.org/project/bar_chart_race)
[](LICENSE)
Make animated bar chart races in Python with matplotlib.
## 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.
### 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)
```
### 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')
```
%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
|
