我想嵌入基于HTML的交互式绘图（例如，http://bokeh.pydata.org/en/0.10.0/docs/gallery/burtin.html）
在我使用latex生成的pdf文档中。我可以使用pythontex在我的文档中嵌入基于matplotlib的图。然而，我没有嵌入基于html的图，如上所示。
我非常感谢任何见解。只要他们允许我嵌入交互式图，我就可以使用乳胶以外的平台（甚至是Microsoft Word），除了Python笔记本。我在下面粘贴我的代码。非常感谢你的时间。
\documentclass[11pt]{article}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{pythontex}
\usepackage{graphicx }
\begin{document}
\begin{pycode}
from collections import OrderedDict
from math import log, sqrt
import numpy as np
import pandas as pd
from six.moves import cStringIO as StringIO
from bokeh.plotting import figure, show, output_file
antibiotics = """
bacteria, penicillin, streptomycin, neomycin, gram
Mycobacterium tuberculosis, 800, 5, 2, negative
Salmonella schottmuelleri, 10, 0.8, 0.09, negative
Proteus vulgaris, 3, 0.1, 0.1, negative
Klebsiella pneumoniae, 850, 1.2, 1, negative
Brucella abortus, 1, 2, 0.02, negative
Pseudomonas aeruginosa, 850, 2, 0.4, negative
Escherichia coli, 100, 0.4, 0.1, negative
Salmonella (Eberthella) typhosa, 1, 0.4, 0.008, negative
Aerobacter aerogenes, 870, 1, 1.6, negative
Brucella antracis, 0.001, 0.01, 0.007, positive
Streptococcus fecalis, 1, 1, 0.1, positive
Staphylococcus aureus, 0.03, 0.03, 0.001, positive
Staphylococcus albus, 0.007, 0.1, 0.001, positive
Streptococcus hemolyticus, 0.001, 14, 10, positive
Streptococcus viridans, 0.005, 10, 40, positive
Diplococcus pneumoniae, 0.005, 11, 10, positive
"""
drug_color = OrderedDict([
("Penicillin", "#0d3362"),
("Streptomycin", "#c64737"),
("Neomycin", "black" ),
])
gram_color = {
"positive" : "#aeaeb8",
"negative" : "#e69584",
}
df = pd.read_csv(StringIO(antibiotics),
skiprows=1,
skipinitialspace=True,
engine='python')
width = 800
height = 800
inner_radius = 90
outer_radius = 300 - 10
minr = sqrt(log(.001 * 1E4))
maxr = sqrt(log(1000 * 1E4))
a = (outer_radius - inner_radius) / (minr - maxr)
b = inner_radius - a * maxr
def rad(mic):
return a * np.sqrt(np.log(mic * 1E4)) + b
big_angle = 2.0 * np.pi / (len(df) + 1)
small_angle = big_angle / 7
x = np.zeros(len(df))
y = np.zeros(len(df))
output_file("burtin.html", title="burtin.py example")
p = figure(plot_width=width, plot_height=height, title="",
x_axis_type=None, y_axis_type=None,
x_range=[-420, 420], y_range=[-420, 420],
min_border=0, outline_line_color="black",
background_fill="#f0e1d2", border_fill="#f0e1d2")
p.line(x+1, y+1, alpha=0)
# annular wedges
angles = np.pi/2 - big_angle/2 - df.index.to_series()*big_angle
colors = [gram_color[gram] for gram in df.gram]
p.annular_wedge(
x, y, inner_radius, outer_radius, -big_angle+angles, angles, color=colors,
)
# small wedges
p.annular_wedge(x, y, inner_radius, rad(df.penicillin),
-big_angle+angles+5*small_angle, -big_angle+angles+6*small_angle,
color=drug_color['Penicillin'])
p.annular_wedge(x, y, inner_radius, rad(df.streptomycin),
-big_angle+angles+3*small_angle, -big_angle+angles+4*small_angle,
color=drug_color['Streptomycin'])
p.annular_wedge(x, y, inner_radius, rad(df.neomycin),
-big_angle+angles+1*small_angle, -big_angle+angles+2*small_angle,
color=drug_color['Neomycin'])
# circular axes and lables
labels = np.power(10.0, np.arange(-3, 4))
radii = a * np.sqrt(np.log(labels * 1E4)) + b
p.circle(x, y, radius=radii, fill_color=None, line_color="white")
p.text(x[:-1], radii[:-1], [str(r) for r in labels[:-1]],
text_font_size="8pt", text_align="center", text_baseline="middle")
# radial axes
p.annular_wedge(x, y, inner_radius-10, outer_radius+10,
-big_angle+angles, -big_angle+angles, color="black")
# bacteria labels
xr = radii[0]*np.cos(np.array(-big_angle/2 + angles))
yr = radii[0]*np.sin(np.array(-big_angle/2 + angles))
label_angle=np.array(-big_angle/2+angles)
label_angle[label_angle < -np.pi/2] += np.pi # easier to read labels on the left side
p.text(xr, yr, df.bacteria, angle=label_angle,
text_font_size="9pt", text_align="center", text_baseline="middle")
# OK, these hand drawn legends are pretty clunky, will be improved in future release
p.circle([-40, -40], [-370, -390], color=list(gram_color.values()), radius=5)
p.text([-30, -30], [-370, -390], text=["Gram-" + gr for gr in gram_color.keys()],
text_font_size="7pt", text_align="left", text_baseline="middle")
p.rect([-40, -40, -40], [18, 0, -18], width=30, height=13,
color=list(drug_color.values()))
p.text([-15, -15, -15], [18, 0, -18], text=list(drug_color.keys()),
text_font_size="9pt", text_align="left", text_baseline="middle")
p.xgrid.grid_line_color = None
p.ygrid.grid_line_color = None
show(p)
\end{pycode}
\begin{center}
\includegraphics[width=1\textwidth]{burtin.html}
\end{center}
\end{document}
答案 0 :(得分：3)
截至散景0.12.1，这是不可能的。尽管Bokeh是一个“Python”库，但它的设计和构思是为了使浏览器中的交互式可视化变得简单。因此，它具有大型JavaScript组件（实际上所有工作都已完成），并且需要运行的JavaScript引擎（即Web浏览器）才能运行。
有一个“保存工具”可让您通过手动点击按钮从网页中保存PNG，但就是这样。目前没有方法以编程方式生成任何类型的静态图像输出或不涉及Web浏览器。
您可以关注此open GitHub issue有关此功能请求的更新。