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|
%global _empty_manifest_terminate_build 0
Name: python-qbstyles
Version: 0.1.4
Release: 1
Summary: QB styles for common plotting libraries
License: Apache 2.0
URL: https://github.com/quantumblacklabs/qbstyles
Source0: https://mirrors.aliyun.com/pypi/web/packages/56/65/b0a2f4b8ba3a110276c7d74b1e901f7ae4046b11ea2d493471a2e1858c73/qbstyles-0.1.4.tar.gz
BuildArch: noarch
Requires: python3-matplotlib
%description
# QB Styles
[](https://opensource.org/licenses/Apache-2.0)
[](https://pypi.org/project/qbstyles/)
[](https://pypi.org/project/qbstyles/)
[](https://github.com/ambv/black)
QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
Dark style | Light style
|-----------|----------- |
|  |  |
## How do I install QB Styles?
`qbstyles` is a Python package. To install it, simply run:
```bash
pip install qbstyles
```
## How do I use QB Styles?
You can use the dark Matplotlib style theme in the following way:
```python
from qbstyles import mpl_style
mpl_style(dark=True)
```
And to use the light Matplotlib style theme, you can do the following:
```python
from qbstyles import mpl_style
mpl_style(dark=False)
```
### How do I use QB Styles in Jupyter Notebooks?
> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
```python
# first cell
from qbstyles import mpl_style
```
```python
# second cell
mpl_style()
```
## What chart types can use QB Styles?
- Line plots
- Scatter plots
- Bubble plots
- Bar charts
- Pie charts
- Histograms and distribution plots
- 3D surface plots
- Stream plots
- Polar plots
## Can you show me a few examples?
To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
def plot(dark):
mpl_style(dark)
fig, axes = plt.subplots(2, 2, figsize=(15, 10))
# the following functions are defined in example.ipynb
line_plot(axes[0, 0])
scatter_plot(axes[0, 1])
distribution_plot(axes[1, 0])
ax = plt.subplot(2, 2, 4, projection='polar')
polar_plot(ax)
plot(dark=True)
```
```python
plot(dark=False)
```
## How do I create my own styles?
Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
mpl_style()
plt.style.use('./your-style.mplstyle')
```
All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
## What licence do you use?
QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
%package -n python3-qbstyles
Summary: QB styles for common plotting libraries
Provides: python-qbstyles
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-qbstyles
# QB Styles
[](https://opensource.org/licenses/Apache-2.0)
[](https://pypi.org/project/qbstyles/)
[](https://pypi.org/project/qbstyles/)
[](https://github.com/ambv/black)
QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
Dark style | Light style
|-----------|----------- |
|  |  |
## How do I install QB Styles?
`qbstyles` is a Python package. To install it, simply run:
```bash
pip install qbstyles
```
## How do I use QB Styles?
You can use the dark Matplotlib style theme in the following way:
```python
from qbstyles import mpl_style
mpl_style(dark=True)
```
And to use the light Matplotlib style theme, you can do the following:
```python
from qbstyles import mpl_style
mpl_style(dark=False)
```
### How do I use QB Styles in Jupyter Notebooks?
> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
```python
# first cell
from qbstyles import mpl_style
```
```python
# second cell
mpl_style()
```
## What chart types can use QB Styles?
- Line plots
- Scatter plots
- Bubble plots
- Bar charts
- Pie charts
- Histograms and distribution plots
- 3D surface plots
- Stream plots
- Polar plots
## Can you show me a few examples?
To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
def plot(dark):
mpl_style(dark)
fig, axes = plt.subplots(2, 2, figsize=(15, 10))
# the following functions are defined in example.ipynb
line_plot(axes[0, 0])
scatter_plot(axes[0, 1])
distribution_plot(axes[1, 0])
ax = plt.subplot(2, 2, 4, projection='polar')
polar_plot(ax)
plot(dark=True)
```
```python
plot(dark=False)
```
## How do I create my own styles?
Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
mpl_style()
plt.style.use('./your-style.mplstyle')
```
All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
## What licence do you use?
QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
%package help
Summary: Development documents and examples for qbstyles
Provides: python3-qbstyles-doc
%description help
# QB Styles
[](https://opensource.org/licenses/Apache-2.0)
[](https://pypi.org/project/qbstyles/)
[](https://pypi.org/project/qbstyles/)
[](https://github.com/ambv/black)
QB Styles is a python package with a light and a dark [`matplotlib`](https://github.com/matplotlib/matplotlib) style.
Dark style | Light style
|-----------|----------- |
|  |  |
## How do I install QB Styles?
`qbstyles` is a Python package. To install it, simply run:
```bash
pip install qbstyles
```
## How do I use QB Styles?
You can use the dark Matplotlib style theme in the following way:
```python
from qbstyles import mpl_style
mpl_style(dark=True)
```
And to use the light Matplotlib style theme, you can do the following:
```python
from qbstyles import mpl_style
mpl_style(dark=False)
```
### How do I use QB Styles in Jupyter Notebooks?
> ⚠️ Please make sure you run `from qbstyles import mpl_style` and `mpl_style()` in **different cells** as shown below. See [this issue](https://github.com/jupyter/notebook/issues/3691) for more details.
```python
# first cell
from qbstyles import mpl_style
```
```python
# second cell
mpl_style()
```
## What chart types can use QB Styles?
- Line plots
- Scatter plots
- Bubble plots
- Bar charts
- Pie charts
- Histograms and distribution plots
- 3D surface plots
- Stream plots
- Polar plots
## Can you show me a few examples?
To run the examples in [`example.ipynb`](https://github.com/quantumblacklabs/qbstyles/blob/master/example.ipynb), install the required packages using ``pip install -r requirements_notebook.txt`` in a Python virtual environment of your choice.
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
def plot(dark):
mpl_style(dark)
fig, axes = plt.subplots(2, 2, figsize=(15, 10))
# the following functions are defined in example.ipynb
line_plot(axes[0, 0])
scatter_plot(axes[0, 1])
distribution_plot(axes[1, 0])
ax = plt.subplot(2, 2, 4, projection='polar')
polar_plot(ax)
plot(dark=True)
```
```python
plot(dark=False)
```
## How do I create my own styles?
Have a look at the files [qb-common.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-common.mplstyle), [qb-dark.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-dark.mplstyle) and [qb-light.mplstyle](https://github.com/quantumblacklabs/qbstyles/blob/master/qbstyles/styles/qb-light.mplstyle). They contain many elements that you may want to customise.
To do so, create a file similar to the above files at the root of your project, and apply it after the `qbstyle` as follows:
```python
import matplotlib.pyplot as plt
from qbstyles import mpl_style
mpl_style()
plt.style.use('./your-style.mplstyle')
```
All of `matplotlibrc`'s options can be found [here](https://matplotlib.org/tutorials/introductory/customizing.html#a-sample-matplotlibrc-file).
## What licence do you use?
QB Styles is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
%prep
%autosetup -n qbstyles-0.1.4
%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-qbstyles -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.4-1
- Package Spec generated
|
