我正在使用散景网站上提供的嵌入.html示例:http://bokeh.pydata.org/en/latest/docs/user_guide/embed.html。注意我使用的是散景12.3。这些图表显示正常但文本正在呈现为脚本函数的确切输出 - 包括' {'和' \ n'字符。
分散功能:
from bokeh.plotting import figure
from bokeh.models import Range1d
from bokeh.embed import components
def scatter():
# create some data
x1 = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
y1 = [0, 8, 2, 4, 6, 9, 5, 6, 25, 28, 4, 7]
x2 = [2, 5, 7, 15, 18, 19, 25, 28, 9, 10, 4]
y2 = [2, 4, 6, 9, 15, 18, 0, 8, 2, 25, 28]
x3 = [0, 1, 0, 8, 2, 4, 6, 9, 7, 8, 9]
y3 = [0, 8, 4, 6, 9, 15, 18, 19, 19, 25, 28]
# select the tools we want
TOOLS="pan,wheel_zoom,box_zoom,reset,save"
# the red and blue graphs will share this data range
xr1 = Range1d(start=0, end=30)
yr1 = Range1d(start=0, end=30)
# only the green will use this data range
xr2 = Range1d(start=0, end=30)
yr2 = Range1d(start=0, end=30)
# build our figures
p1 = figure(x_range=xr1, y_range=yr1, tools=TOOLS, plot_width=300, plot_height=300)
p1.scatter(x1, y1, size=12, color="red", alpha=0.5)
p2 = figure(x_range=xr1, y_range=yr1, tools=TOOLS, plot_width=300, plot_height=300)
p2.scatter(x2, y2, size=12, color="blue", alpha=0.5)
p3 = figure(x_range=xr2, y_range=yr2, tools=TOOLS, plot_width=300, plot_height=300)
p3.scatter(x3, y3, size=12, color="green", alpha=0.5)
# plots can be a single Bokeh Model, a list/tuple, or even a dictionary
plots = {'Red': p1, 'Blue': p2, 'Green': p3}
script, div = components(plots)
return script, div
我的烧瓶代码是:
script, div = scatter()
return self.render_template('bokeh_example.html', script=script, div=div)
bokeh_example.html:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<link rel="stylesheet" href="http://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.css" type="text/css" />
<script type="text/javascript" src="http://cdn.pydata.org/bokeh/release/bokeh-0.12.3.min.js"></script>
{{ script | safe }}
</head>
<body>
<div class='bokeh'>
<h1>Scatter Example</h1>
{{ div | safe }}
</div>
</body>
</html>
图表显示正常,但div文本呈现为文字:
{'Red': '\n #this text displays instead of just the string 'Red'
\n #this displays on next line in smaller font
#plot displays fine here
\n #this text displays after the plot instead of creating a blank line.
任何线索?
答案 0 :(得分:1)
您正在将图表字典传递给components
:
plots = {'Red': p1, 'Blue': p2, 'Green': p3}
script, div = components(plots)
return script, div
这意味着(根据documentation)结果不是单个脚本和单个div。相反,它是一个单独的脚本和一个将原始名称映射到多个div的字典:
components({"Red": p1, "Blue": p2, "Green": p3})
#=> (script, {"Red": p1_div, "Blue": p2_div, "Green": p3_div})
现在您正在尝试将dict本身模板化为HTML。据推测,Jinja只是在字典上调用str
将其变成一个字符串,而浏览器并不知道如何处理它。您需要分别模拟components
返回的dict中的每个div。
对于适当更新的模板,可能如下所示:
script, divs = scatter() # notice plural: divS
return self.render_template(
'bokeh_example.html',
script=script,
div_red=divs['Red'],
div_blue=divs['Blue'],
div_green=divs['Green'],
)
或者您可以更新模板以使用Jinja2的一些功能直接迭代divs
,以迭代作为集合的模板参数。