左右纵坐标轴

最新推荐文章于 2025-01-07 09:45:44 发布

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最新推荐文章于 2025-01-07 09:45:44 发布 · 510 阅读

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本文详细介绍了在数据可视化中如何使用和理解左右纵坐标轴。通过实例展示了这种坐标轴布局在比较不同尺度数据或者突出特定数据变化时的重要性。同时，解释了如何配置和定制这些坐标轴以适应不同的展示需求。

import numpy as np
from mpl_toolkits.axisartist.parasite_axes import HostAxes, ParasiteAxes
import matplotlib.pyplot as plt
import matplotlib as mpl
mpl.rcParams["font.sans-serif"] = ["Times New Roman"]
mpl.rcParams["axes.unicode_minus"] = False
x = ['0', '60', '82', '84', '115', '115', '180']
A=[0.0,0.3333333333333333,0.44,0.48,0.6388888888888888,0.6388888888888888,1.0]
k1 = [49.160,47.367,26.858,30.315,16.552,28.590,23.905,18.818,28.735,6.721,10.315,20]
k2 = [49.160,47.367,26.858,30.315,16.552,28.590,23.905,18.818,28.735,6.721,10.315,20]
k3 = [49.160,47.367,26.858,30.315,16.552,28.590,23.905,18.818,28.735,6.721,10.315,20]
k4 = [49.160,47.367,26.858,30.315,16.552,28.590,23.905,18.818,28.735,6.721,10.315,20]
k5 = [49.160,47.367,26.858,30.315,16.552,28.590,23.905,18.818,28.735,6.721,10.315,20]
k6 = [49.160,47.367,