本文整理匯總了Python中diffpy.srfit.fitbase.FitContribution.B方法的典型用法代碼示例。如果您正苦於以下問題：Python FitContribution.B方法的具體用法？Python FitContribution.B怎麽用？Python FitContribution.B使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類diffpy.srfit.fitbase.FitContribution的用法示例。
在下文中一共展示了FitContribution.B方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: show
# 需要導入模塊: from diffpy.srfit.fitbase import FitContribution [as 別名]
# 或者: from diffpy.srfit.fitbase.FitContribution import B [as 別名]
# SrFit objects can be examined by calling their show() function. SrFit
# parses the model equation and finds two parameters A, B at independent
# variable x. The values of parameters A, B are at this stage undefined.
linefit.show()
# <demo> --- stop ---
# We can set A and B to some specific values and calculate model
# observations. The x and y attributes of the FitContribution are
# the observed values, which may be re-sampled or truncated to a shorter
# fitting range.
linefit.A
linefit.A = 3
linefit.B = 5
print(linefit.A, linefit.A.value)
print(linefit.B, linefit.B.value)
# <demo> --- stop ---
# linefit.evaluate() returns the modeled values and linefit.residual
# the difference between observed and modeled data scaled by estimated
# standard deviations.
print("linefit.evaluate() =", linefit.evaluate())
print("linefit.residual() =", linefit.residual())
plt.plot(xobs, yobs, 'x', linedata.x, linefit.evaluate(), '-')
plt.title('Line simulated at A=3, B=5')
# <demo> --- stop ---