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# -*- coding: utf-8 -*-
"""Tools for handling LaTeX.
* Brian Granger
# Copyright (c) 2010, IPython Development Team.
# Distributed under the terms of the Modified BSD License.
# The full license is in the file COPYING.txt, distributed with this software.
# Imports
from StringIO import StringIO
from base64 import encodestring
# Tools
def latex_to_png(s, encode=False):
"""Render a LaTeX string to PNG using matplotlib.mathtext.
s : str
The raw string containing valid inline LaTeX.
encode : bool, optional
Should the PNG data bebase64 encoded to make it JSON'able.
from matplotlib import mathtext
mt = mathtext.MathTextParser('bitmap')
f = StringIO()
mt.to_png(f, s, fontsize=12)
bin_data = f.getvalue()
if encode:
bin_data = encodestring(bin_data)
return bin_data
_data_uri_template_png = """<img src="data:image/png;base64,%s" alt=%s />"""
def latex_to_html(s, alt='image'):
"""Render LaTeX to HTML with embedded PNG data using data URIs.
s : str
The raw string containing valid inline LateX.
alt : str
The alt text to use for the HTML.
base64_data = latex_to_png(s, encode=True)
return _data_uri_template_png % (base64_data, alt)
# From matplotlib, thanks to mdboom. Once this is in matplotlib releases, we
# will remove.
def math_to_image(s, filename_or_obj, prop=None, dpi=None, format=None):
Given a math expression, renders it in a closely-clipped bounding
box to an image file.
A math expression. The math portion should be enclosed in
dollar signs.
A filepath or writable file-like object to write the image data
If provided, a FontProperties() object describing the size and
style of the text.
Override the output dpi, otherwise use the default associated
with the output format.
The output format, eg. 'svg', 'pdf', 'ps' or 'png'. If not
provided, will be deduced from the filename.
from matplotlib import figure
# backend_agg supports all of the core output formats
from matplotlib.backends import backend_agg
from matplotlib.font_manager import FontProperties
from matplotlib.mathtext import MathTextParser
if prop is None:
prop = FontProperties()
parser = MathTextParser('path')
width, height, depth, _, _ = parser.parse(s, dpi=72, prop=prop)
fig = figure.Figure(figsize=(width / 72.0, height / 72.0))
fig.text(0, depth/height, s, fontproperties=prop)
fig.savefig(filename_or_obj, dpi=dpi, format=format)
return depth
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