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import openturns as ot
from matplotlib import pyplot as plt
from openturns.viewer import View
# Create a Box Cox transformation
lambdas = [0.0, 0.1, 1.0, 1.5]
graph = ot.Graph("Inverse Box Cox transformations", "x", "y", True)
for i in range(len(lambdas)):
iBoxCoxT = ot.InverseBoxCoxTransform(lambdas[i])
graph.add(iBoxCoxT.draw(0.1, 2.1))
graph.setLegends(["lambda = " + str(lam) for lam in lambdas])
graph.setLegendPosition("upper left")
fig = plt.figure(figsize=(8, 4))
axis = fig.add_subplot(111)
axis.set_xlim(auto=True)
View(graph, figure=fig, axes=[axis], add_legend=True)
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