1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
|
%global _empty_manifest_terminate_build 0
Name: python-lightning-python
Version: 1.2.1
Release: 1
Summary: A Python client library for the Lightning data visualization server
License: MIT
URL: https://github.com/lightning-viz/lightning-python
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9c/ae/36f6dc88f0f8fcd59de9e2ebe517923229de05f7b437b6efd11b58c50f42/lightning-python-1.2.1.tar.gz
BuildArch: noarch
%description
Python client for the [lightning](https://github.com/mathisonian/lightning) API
## installation
Install using:
```
pip install lightning-python
```
Compatible with Python 2.7 and 3.4.
## usage
### creating a session
```python
from lightning import Lightning
lgn = Lightning(host="http://my-lightning-instance.herokuapp.com")
lgn.create_session()
lgn.create_session("provide an optional session name")
```
### creating a visualization
Methods are available for the default visualization types included with Lightning
```python
lgn.line([1,2,3,4,5,6,7,8,0,-2,2])
lgn.scatter([1,2,3],[2,9,4])
```
### setting options
Visualizations can be customized through optional parameters
```python
lgn.scatter([1,2,3],[2,9,4], label=[1,2,3], size=[5,10,20])
```
### using custom plots
For custom plots not included with the default set, specify by name and provide data as a dictionary
```python
lgn.plot(data={"series": [1,2,3]}, type='line')
```
## examples
See a collection of [IPython notebooks](http://nbviewer.ipython.org/github/lightning-viz/lightning-example-notebooks/tree/master/).
## complete documentation
Available [here](http://lightning-viz.github.io/lightning-python/).
## running tests
Requires [pytest](http://pytest.org/latest/)
Clone the repo and install the library locally:
```sh
$ pip install -e .
```
The tests need to be run against a lightning server. By default they expect
this to be found at `http://localhost:3000`.
To run the tests:
```
$ py.test
```
or with against a custom host url
```
$ py.test --host=http://mylightninghost.herokuapp.com
```
## help
We maintain a [chatroom](https://gitter.im/lightning-viz/lightning) on gitter. If there's no response there: file an issue or reach out on twitter ([@mathisonian](http://twitter.com/matisonian), [@thefreemanlab](http://twitter.com/thefreemanlab))
%package -n python3-lightning-python
Summary: A Python client library for the Lightning data visualization server
Provides: python-lightning-python
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-lightning-python
Python client for the [lightning](https://github.com/mathisonian/lightning) API
## installation
Install using:
```
pip install lightning-python
```
Compatible with Python 2.7 and 3.4.
## usage
### creating a session
```python
from lightning import Lightning
lgn = Lightning(host="http://my-lightning-instance.herokuapp.com")
lgn.create_session()
lgn.create_session("provide an optional session name")
```
### creating a visualization
Methods are available for the default visualization types included with Lightning
```python
lgn.line([1,2,3,4,5,6,7,8,0,-2,2])
lgn.scatter([1,2,3],[2,9,4])
```
### setting options
Visualizations can be customized through optional parameters
```python
lgn.scatter([1,2,3],[2,9,4], label=[1,2,3], size=[5,10,20])
```
### using custom plots
For custom plots not included with the default set, specify by name and provide data as a dictionary
```python
lgn.plot(data={"series": [1,2,3]}, type='line')
```
## examples
See a collection of [IPython notebooks](http://nbviewer.ipython.org/github/lightning-viz/lightning-example-notebooks/tree/master/).
## complete documentation
Available [here](http://lightning-viz.github.io/lightning-python/).
## running tests
Requires [pytest](http://pytest.org/latest/)
Clone the repo and install the library locally:
```sh
$ pip install -e .
```
The tests need to be run against a lightning server. By default they expect
this to be found at `http://localhost:3000`.
To run the tests:
```
$ py.test
```
or with against a custom host url
```
$ py.test --host=http://mylightninghost.herokuapp.com
```
## help
We maintain a [chatroom](https://gitter.im/lightning-viz/lightning) on gitter. If there's no response there: file an issue or reach out on twitter ([@mathisonian](http://twitter.com/matisonian), [@thefreemanlab](http://twitter.com/thefreemanlab))
%package help
Summary: Development documents and examples for lightning-python
Provides: python3-lightning-python-doc
%description help
Python client for the [lightning](https://github.com/mathisonian/lightning) API
## installation
Install using:
```
pip install lightning-python
```
Compatible with Python 2.7 and 3.4.
## usage
### creating a session
```python
from lightning import Lightning
lgn = Lightning(host="http://my-lightning-instance.herokuapp.com")
lgn.create_session()
lgn.create_session("provide an optional session name")
```
### creating a visualization
Methods are available for the default visualization types included with Lightning
```python
lgn.line([1,2,3,4,5,6,7,8,0,-2,2])
lgn.scatter([1,2,3],[2,9,4])
```
### setting options
Visualizations can be customized through optional parameters
```python
lgn.scatter([1,2,3],[2,9,4], label=[1,2,3], size=[5,10,20])
```
### using custom plots
For custom plots not included with the default set, specify by name and provide data as a dictionary
```python
lgn.plot(data={"series": [1,2,3]}, type='line')
```
## examples
See a collection of [IPython notebooks](http://nbviewer.ipython.org/github/lightning-viz/lightning-example-notebooks/tree/master/).
## complete documentation
Available [here](http://lightning-viz.github.io/lightning-python/).
## running tests
Requires [pytest](http://pytest.org/latest/)
Clone the repo and install the library locally:
```sh
$ pip install -e .
```
The tests need to be run against a lightning server. By default they expect
this to be found at `http://localhost:3000`.
To run the tests:
```
$ py.test
```
or with against a custom host url
```
$ py.test --host=http://mylightninghost.herokuapp.com
```
## help
We maintain a [chatroom](https://gitter.im/lightning-viz/lightning) on gitter. If there's no response there: file an issue or reach out on twitter ([@mathisonian](http://twitter.com/matisonian), [@thefreemanlab](http://twitter.com/thefreemanlab))
%prep
%autosetup -n lightning-python-1.2.1
%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-lightning-python -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.1-1
- Package Spec generated
|
