教程:开发者使用Graphistry#
首先在分析教程中生成交互式图表
Graphistry 是一个客户端/服务器系统:
图表类似于实时文档:它们在服务器上创建(一个
dataset),然后用户可以与之交互上传可能提供一些设置
用户可以动态创建设置,例如过滤器:这些是
workbooks。多个workbooks可以重复使用相同的dataset
APIs:
[4]:
import graphistry
# To specify Graphistry account & server, use:
# graphistry.register(api=3, username='...', password='...', protocol='https', server='hub.graphistry.com')
# For more options, see https://github.com/graphistry/pygraphistry#configure
1. 后端API#
Graphistry 提供了一个 REST 上传 API,您可以重复使用 Python 客户端以更方便地使用它。
Python#
使用PyGraphistry API,如分析教程所示
不进行绘图,而是获取用于嵌入的绘图URL
[34]:
edges = [{'src': 0, 'dst': 1}, {'src': 1, 'dst': 0}]
g = graphistry.edges(pd.DataFrame(edges)).bind(source='src', destination='dst').settings(url_params={'play': 1000})
url = g.plot(render=False)
url
[34]:
u'https://hub.graphistry.com/graph/graph.html?dataset=PyGraphistry/D1I2OZFIZR&type=vgraph&viztoken=1b70c86e6b6f357d435dce80bf37c42ce284c6ae&usertag=86f11264-pygraphistry-0.9.63&splashAfter=1554622313&info=true&play=1000'
REST#
示例CURL如下
从您的个人资料页面获取API密钥,或者对于管理员,通过生成一个新的
[1]:
json_data = {
"name": "myUniqueGraphName",
"type": "edgelist",
"bindings": {
"sourceField": "src",
"destinationField": "dst",
"idField": "node"
},
"graph": [
{"src": "myNode1", "dst": "myNode2",
"myEdgeField1": "I'm an edge!", "myCount": 7},
{"src": "myNode2", "dst": "myNode3",
"myEdgeField1": "I'm also an edge!", "myCount": 200}
],
"labels": [
{"node": "myNode1",
"myNodeField1": "I'm a node!",
"pointColor": 5},
{"node": "myNode2",
"myNodeField1": "I'm a node too!",
"pointColor": 4},
{"node": "myNode3",
"myNodeField1": "I'm a node three!",
"pointColor": 4}
]
}
import json
with open('./data/samplegraph.json', 'w') as outfile:
json.dump(json_data, outfile)
[2]:
! curl -H "Content-type: application/json" -X POST -d @./data/samplegraph.json https://hub.graphistry.com/etl?key=YOUR_API_KEY_HERE
{"success":true,"dataset":"myUniqueGraphName"}
NodeJS#
请参阅 [@graphistry/node-api](https://graphistry.github.io/graphistry-js/node-tsdocs/) 文档
2. 前端API#
Graphistry 支持 3 种前端 API:iframe、React 和 JavaScript
iframe#
[27]:
from IPython.display import HTML, display
#skip splash screen
url = url.replace('splashAfter', 'zzz')
display(HTML('<iframe src="' + url + '" style="width: 100%; height: 400px"></iframe>'))
JavaScript - 浏览器原生JS#
npm install --save "@graphistry/client-api"尝试使用 RunKit
JavaScript API 使用 RxJS Observables。图标通过 Font Awesome 4 提供。
var pointIconEncoding = {
attribute: 'type',
mapping: {
categorical: {
fixed: {
'Page': 'file-text-o',
'Phone': 'mobile',
'Email': 'envelope-o',
'Instagram': 'instagram',
'Snapchat': 'snapchat',
'Twitter': 'twitter',
'Location': 'map-marker',
}
}
}
};
var pointColorEncoding = {
attribute: 'type',
mapping: {
categorical: {
fixed: {
'Page': '#777777',
'Phone': '#f8999e',
'Email': '#c05c61',
'Username': '#00AA00',
'Instagram': '#a43cb1',
'Snapchat': '#fffb2e',
'Twitter': '#46a6e4',
'Location': '#9c4e00',
'Facebook': '#3f5692',
'Telegram': '#37aee2'
},
'other': '#cccccc'
}
}
};
document.addEventListener("DOMContentLoaded", function () {
GraphistryJS(document.getElementById('viz'))
.flatMap(function (g) {
window.g = g;
g.updateSetting('pointSize', 3);
g.encodeIcons('point', 'type', pointIconEncoding.mapping);
return g.encodeColor('point', 'type', 'categorical', pointColorEncoding.mapping);
})
.subscribe(function (result) {
console.log('all columns: ', result);
}, function(result) {
console.log('error', result);
});
});
JavaScript React#
React API 封装了 JavaScript API。
import { Graphistry } from '@graphistry/client-api-react';
<Graphistry
key={react_nonce}
className={'my_class'}
vizClassName={'my_class_2'}
defaultPointsOfInterestMax={20}
defaultPruneOrphans={true}
defaultShowPointsOfInterest={true}
defaultShowPointsOfInterestLabel={false}
backgroundColor={'#EEEEEE'}
defaultPointSize={1}
defaultDissuadeHubs={true}
defaultGravity={8}
defaultScalingRatio={12}
defaultEdgeOpacity={0.5}
defaultShowArrows={false}
defaultEdgeCurvature={0.02}
defaultShowLabelPropertiesOnHover={true}
...
play={2000}
showIcons={true}
defaultShowToolbar={true}
axes={axes}
controls={controls}
type={datasetType}
dataset={datasetName}
graphistryHost={'http://...'}
loadingMessage={'loading..'}
showLoadingIndicator={true}
/>
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