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# /*##########################################################################
#
# The PyMca X-Ray Fluorescence Toolkit
#
# Copyright (c) 2004-2015 European Synchrotron Radiation Facility
#
# This file is part of the PyMca X-ray Fluorescence Toolkit developed at
# the ESRF by the Software group.
#
# 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.
#
# ############################################################################*/
__author__ = "T. Vincent - ESRF Data Analysis"
__contact__ = "thomas.vincent@esrf.fr"
__license__ = "MIT"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
__doc__ = """Common functions shared by backends"""
import numpy
def addMarginsToLimits(margins, isXLog, isYLog,
xMin, xMax, yMin, yMax, y2Min=None, y2Max=None):
"""Returns updated limits by extending them with margins.
:param margins: The ratio of the margins to add or None for no margins.
:type margins: A 4-tuple of floats as
(xMinMargin, xMaxMargin, yMinMargin, yMaxMargin)
:return: The updated limits
:rtype: tuple of 4 or 6 floats: Either (xMin, xMax, yMin, yMax) or
(xMin, xMax, yMin, yMax, y2Min, y2Max) if y2Min and y2Max
are provided.
"""
if margins is not None:
xMinMargin, xMaxMargin, yMinMargin, yMaxMargin = margins
if not isXLog:
xRange = xMax - xMin
xMin -= xMinMargin * xRange
xMax += xMaxMargin * xRange
elif xMin > 0. and xMax > 0.: # Log scale
# Do not apply margins if limits < 0
xMinLog, xMaxLog = numpy.log10(xMin), numpy.log10(xMax)
xRangeLog = xMaxLog - xMinLog
xMin = pow(10., xMinLog - xMinMargin * xRangeLog)
xMax = pow(10., xMaxLog + xMaxMargin * xRangeLog)
if not isYLog:
yRange = yMax - yMin
yMin -= yMinMargin * yRange
yMax += yMaxMargin * yRange
elif yMin > 0. and yMax > 0.: # Log scale
# Do not apply margins if limits < 0
yMinLog, yMaxLog = numpy.log10(yMin), numpy.log10(yMax)
yRangeLog = yMaxLog - yMinLog
yMin = pow(10., yMinLog - yMinMargin * yRangeLog)
yMax = pow(10., yMaxLog + yMaxMargin * yRangeLog)
if y2Min is not None and y2Max is not None:
if not isYLog:
yRange = y2Max - y2Min
y2Min -= yMinMargin * yRange
y2Max += yMaxMargin * yRange
elif y2Min > 0. and y2Max > 0.: # Log scale
# Do not apply margins if limits < 0
yMinLog, yMaxLog = numpy.log10(y2Min), numpy.log10(y2Max)
yRangeLog = yMaxLog - yMinLog
y2Min = pow(10., yMinLog - yMinMargin * yRangeLog)
y2Max = pow(10., yMaxLog + yMaxMargin * yRangeLog)
if y2Min is None or y2Max is None:
return xMin, xMax, yMin, yMax
else:
return xMin, xMax, yMin, yMax, y2Min, y2Max
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