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創(chuàng)新互聯(lián)Python教程：python中pyg2plot如何使用？
1、渲染出完整的 HTML
這種情況可以用于：
服務(wù)端 html 直出的場(chǎng)景
生成可交互可視化分享
Excel 等工具嵌入的場(chǎng)景
from pyg2plot import Plot
line = Plot("Line")
line.set_options({
"data": [
{ "year": "1991", "value": 3 },
{ "year": "1992", "value": 4 },
{ "year": "1993", "value": 3.5 },
{ "year": "1994", "value": 5 },
{ "year": "1995", "value": 4.9 },
{ "year": "1996", "value": 6 },
{ "year": "1997", "value": 7 },
{ "year": "1998", "value": 9 },
{ "year": "1999", "value": 13 },
],
"xField": "year",
"yField": "value",
})
# 1. render html file named plot.html
line.render("plot.html")
# 2. render html string
line.render_html()2、在 Jupyter notebook 中預(yù)覽
from pyg2plot import Plot
line = Plot("Line")
line.set_options({
"height": 400, # set a default height in jupyter preview
"data": [
{ "year": "1991", "value": 3 },
{ "year": "1992", "value": 4 },
{ "year": "1993", "value": 3.5 },
{ "year": "1994", "value": 5 },
{ "year": "1995", "value": 4.9 },
{ "year": "1996", "value": 6 },
{ "year": "1997", "value": 7 },
{ "year": "1998", "value": 9 },
{ "year": "1999", "value": 13 },
],
"xField": "year",
"yField": "value",
})
line.render_notebook()在我們做數(shù)據(jù)分析教程的過(guò)程中，可以將我們的數(shù)據(jù)使用 PyG2Plot 進(jìn)行可視化并預(yù)覽出來(lái)，十分方便！
以上就是python中pyg2plot的使用，希望能對(duì)大家有所幫助。更多Python學(xué)習(xí)指路:創(chuàng)新互聯(lián)Python教程
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