从 matplotlib 获取 XY 值
Get XY value from mathplotlib
x = [-5,-4.19,-3.54,-3.31,-2.56,-2.31,-1.66,-0.96,-0.22,0.62,1.21]
y = [0.01,0.01,0.03,0.04,0.07,0.09,0.16,0.28,0.45,0.65,0.77]
plt.scatter(x, y)
new = np.linspace(-6, 2)
line, = plt.plot(new, inter(new, x, y))
xdata = line.get_xdata()
ydata = line.get_ydata()
print("X-datas: {}\n Y-datas: {}".format(xdata, ydata))
plt.show()
X 数据：[-6。 -5.83673469 -5.67346939 -5.51020408 -5.34693878 -5.18367347
-5.02040816 -4.85714286 -4.69387755 -4.53061224 -4.36734694 -4.20408163
-4.04081633 -3.87755102 -3.71428571 -3.55102041 -3.3877551 -3.2244898
-3.06122449 -2.89795918 -2.73469388 -2.57142857 -2.40816327 -2.24489796
-2.08163265 -1.91836735 -1.75510204 -1.59183673 -1.42857143 -1.26530612
-1.10204082 -0.93877551 -0.7755102 -0.6122449 -0.44897959 -0.28571429
-0.12244898 0.04081633 0.20408163 0.36734694 0.53061224 0.69387755
0.85714286 1.02040816 1.18367347 1.34693878 1.51020408 1.67346939
1.83673469 2.]
Y 数据：[-0.01204394 -0.00302114 0.00328497 0.00731081 0.00949282 0.01026743
0.01007108 0.0093402 0.00851122 0.00802059 0.00830473 0.00980007
0.01270645 0.01709244 0.02276363 0.02951097 0.03669359 0.04295611
0.04814326 0.0535818 0.06028353 0.06926028 0.08176299 0.09625576
0.11210497 0.12895267 0.14776008 0.16925751 0.19376669 0.22132663
0.25163393 0.28441688 0.31953663 0.35641761 0.39468924 0.43398094
0.47401019 0.51426535 0.55412183 0.59301685 0.63038764 0.66578449
0.69938197 0.73201447 0.7646666 0.79832295 0.83396812 0.87258672
0.91516335 0.96268261]
inter 是对数据进行插值的函数，我得到了输出数组。
如何从拟合曲线中获取特定值。假设 X = -2.31 那么我想从拟合曲线中获取 Y 值。
您使用 numpy.searchsorted.
获得离 x = -2.31 最近点的索引
n = np.searchsorted(xdata, -2.31)
y = ydata[n]
请记住，要使其正常工作，您需要 xdata 进行排序，并且由于两个索引之间的 dx，结果会略有偏差。您的数据点越多，您就越能将这种不准确性降低到无关紧要的程度。
x = [-5,-4.19,-3.54,-3.31,-2.56,-2.31,-1.66,-0.96,-0.22,0.62,1.21]
y = [0.01,0.01,0.03,0.04,0.07,0.09,0.16,0.28,0.45,0.65,0.77]
plt.scatter(x, y)
new = np.linspace(-6, 2)
line, = plt.plot(new, inter(new, x, y))
xdata = line.get_xdata()
ydata = line.get_ydata()
print("X-datas: {}\n Y-datas: {}".format(xdata, ydata))
plt.show()
X 数据：[-6。 -5.83673469 -5.67346939 -5.51020408 -5.34693878 -5.18367347 -5.02040816 -4.85714286 -4.69387755 -4.53061224 -4.36734694 -4.20408163 -4.04081633 -3.87755102 -3.71428571 -3.55102041 -3.3877551 -3.2244898 -3.06122449 -2.89795918 -2.73469388 -2.57142857 -2.40816327 -2.24489796 -2.08163265 -1.91836735 -1.75510204 -1.59183673 -1.42857143 -1.26530612 -1.10204082 -0.93877551 -0.7755102 -0.6122449 -0.44897959 -0.28571429 -0.12244898 0.04081633 0.20408163 0.36734694 0.53061224 0.69387755 0.85714286 1.02040816 1.18367347 1.34693878 1.51020408 1.67346939 1.83673469 2.]
Y 数据：[-0.01204394 -0.00302114 0.00328497 0.00731081 0.00949282 0.01026743 0.01007108 0.0093402 0.00851122 0.00802059 0.00830473 0.00980007 0.01270645 0.01709244 0.02276363 0.02951097 0.03669359 0.04295611 0.04814326 0.0535818 0.06028353 0.06926028 0.08176299 0.09625576 0.11210497 0.12895267 0.14776008 0.16925751 0.19376669 0.22132663 0.25163393 0.28441688 0.31953663 0.35641761 0.39468924 0.43398094 0.47401019 0.51426535 0.55412183 0.59301685 0.63038764 0.66578449 0.69938197 0.73201447 0.7646666 0.79832295 0.83396812 0.87258672 0.91516335 0.96268261]
inter 是对数据进行插值的函数，我得到了输出数组。
如何从拟合曲线中获取特定值。假设 X = -2.31 那么我想从拟合曲线中获取 Y 值。
您使用 numpy.searchsorted.
x = -2.31 最近点的索引
n = np.searchsorted(xdata, -2.31)
y = ydata[n]
请记住，要使其正常工作，您需要 xdata 进行排序，并且由于两个索引之间的 dx，结果会略有偏差。您的数据点越多，您就越能将这种不准确性降低到无关紧要的程度。