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# /*##########################################################################
#
# Copyright (c) 2016-2022 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
# ###########################################################################*/
"""This module initializes matplotlib and sets-up the backend to use.
It MUST be imported prior to any other import of matplotlib.
It provides the matplotlib :class:`FigureCanvasQTAgg` class corresponding
to the used backend.
"""
__authors__ = ["T. Vincent"]
__license__ = "MIT"
__date__ = "02/05/2018"
import io
from pkg_resources import parse_version
import matplotlib
import numpy
from .. import qt
def rasterMathText(text, font, size=-1, weight=-1, italic=False, devicePixelRatio=1.0):
"""Raster text using matplotlib supporting latex-like math syntax.
It supports multiple lines.
:param str text: The text to raster
:param font: Font name or QFont to use
:type font: str or :class:`QFont`
:param int size:
Font size in points
Used only if font is given as name.
:param int weight:
Font weight in [0, 99], see QFont.Weight.
Used only if font is given as name.
:param bool italic:
True for italic font (default: False).
Used only if font is given as name.
:param float devicePixelRatio:
The current ratio between device and device-independent pixel
(default: 1.0)
:return: Corresponding image in gray scale and baseline offset from top
:rtype: (HxW numpy.ndarray of uint8, int)
"""
# Implementation adapted from:
# https://github.com/matplotlib/matplotlib/blob/d624571a19aec7c7d4a24123643288fc27db17e7/lib/matplotlib/mathtext.py#L264
# Lazy import to avoid imports before setting matplotlib's rcParams
from matplotlib.font_manager import FontProperties
from matplotlib.mathtext import MathTextParser
from matplotlib import figure
dpi = 96 # default
qapp = qt.QApplication.instance()
if qapp:
screen = qapp.primaryScreen()
if screen:
dpi = screen.logicalDotsPerInchY()
# Make sure dpi is even, it causes issues with array reshape otherwise
dpi = ((dpi * devicePixelRatio) // 2) * 2
stripped_text = text.strip("\n")
parser = MathTextParser("path")
width, height, depth, _, _ = parser.parse(stripped_text, dpi=dpi)
width *= 2
height *= 2 * (stripped_text.count("\n") + 1)
if not isinstance(font, qt.QFont):
font = qt.QFont(font, size, weight, italic)
prop = FontProperties(
family=font.family(),
style="italic" if font.italic() else "normal",
weight=10 * font.weight(),
size=font.pointSize(),
)
fig = figure.Figure(figsize=(width / dpi, height / dpi))
fig.text(0, depth / height, stripped_text, fontproperties=prop)
with io.BytesIO() as buffer:
fig.savefig(buffer, dpi=dpi, format="raw")
buffer.seek(0)
image = numpy.frombuffer(buffer.read(), dtype=numpy.uint8).reshape(
int(height), int(width), 4
)
# RGB to inverted R channel
array = 255 - image[:, :, 0]
# Remove leading and trailing empty columns/rows but one on each side
filled_rows = numpy.nonzero(numpy.sum(array, axis=1))[0]
filled_columns = numpy.nonzero(numpy.sum(array, axis=0))[0]
if len(filled_rows) == 0 or len(filled_columns) == 0:
return array, image.shape[0] - 1
clipped_array = numpy.ascontiguousarray(
array[
max(0, filled_rows[0] - 1) : filled_rows[-1] + 2,
max(0, filled_columns[0] - 1) : filled_columns[-1] + 2,
]
)
return clipped_array, image.shape[0] - 1 # baseline not available
def _matplotlib_use(backend, force):
"""Wrapper of `matplotlib.use` to set-up backend.
It adds extra initialization for PySide2 with matplotlib < 2.2.
"""
# This is kept for compatibility with matplotlib < 2.2
if (
parse_version(matplotlib.__version__) < parse_version("2.2")
and qt.BINDING == "PySide2"
):
matplotlib.rcParams["backend.qt5"] = "PySide2"
matplotlib.use(backend, force=force)
if qt.BINDING in ("PySide6", "PyQt6", "PyQt5", "PySide2"):
_matplotlib_use("Qt5Agg", force=False)
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg # noqa
else:
raise ImportError("Unsupported Qt binding: %s" % qt.BINDING)
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