python - 使用“matplotlib.pyplot()”绘制数据时出现奇怪的结果

问题描述

这是数组real_stock_price_volumes：

array([[1.32600000e+03, 3.19064498e+08],
       [1.32800000e+03, 9.90153760e+07],
       [1.33300000e+03, 1.34459291e+08],
       [1.32400000e+03, 9.76078850e+07],
       [1.32500000e+03, 1.25713918e+08],
       [1.30800000e+03, 9.14767100e+07],
       [1.31400000e+03, 1.16316712e+08],
       [1.29500000e+03, 9.86506690e+07],
       [1.25100000e+03, 1.00724864e+08],
       [1.19200000e+03, 9.36400500e+07],
       [1.22300000e+03, 7.32284280e+07],
       [1.23500000e+03, 3.02962310e+07],
       [1.22200000e+03, 4.39081200e+07],
       [1.20000000e+03, 1.33755011e+08],
       [1.16300000e+03, 5.22119140e+07],
       [1.15400000e+03, 3.74436890e+07],
       [1.13600000e+03, 3.67476700e+07],
       [1.11900000e+03, 3.74358580e+07],
       [1.09100000e+03, 4.77026620e+07],
       [1.08900000e+03, 4.50759280e+07],
       [1.07500000e+03, 7.15362200e+07],
       [1.07000000e+03, 3.64443230e+07],
       [1.06800000e+03, 3.88530380e+07],
       [1.06600000e+03, 5.20391440e+07],
       [1.06700000e+03, 3.48435300e+07],
       [1.06200000e+03, 3.50862750e+07],
       [1.05700000e+03, 3.11573250e+07],
       [1.07500000e+03, 5.02451850e+07],
       [1.07400000e+03, 4.20791170e+07],
       [1.06700000e+03, 4.64726370e+07]])

这是predicted_stock_price_volume：

array([[1.1192834e+03, 1.8556324e+07],
       [1.1616068e+03, 1.8931450e+07],
       [1.2031355e+03, 1.9183112e+07],
       [1.2409023e+03, 1.9258652e+07],
       [1.2728779e+03, 1.9135412e+07],
       [1.2981487e+03, 1.8822046e+07],
       [1.3164802e+03, 1.8347750e+07],
       [1.3283572e+03, 1.7757704e+07],
       [1.3345322e+03, 1.7099750e+07],
       [1.3357021e+03, 1.6413705e+07],
       [1.3322739e+03, 1.5725957e+07],
       [1.3248695e+03, 1.5064580e+07],
       [1.3142756e+03, 1.4456509e+07],
       [1.3013789e+03, 1.3922793e+07],
       [1.2871940e+03, 1.3477512e+07],
       [1.2722299e+03, 1.3122378e+07],
       [1.2567640e+03, 1.2853235e+07],
       [1.2409580e+03, 1.2661774e+07],
       [1.2249242e+03, 1.2538099e+07],
       [1.2087153e+03, 1.2471031e+07],
       [1.1924427e+03, 1.2452524e+07],
       [1.1762994e+03, 1.2476716e+07],
       [1.1604342e+03, 1.2539352e+07],
       [1.1450332e+03, 1.2637726e+07],
       [1.1303459e+03, 1.2769922e+07],
       [1.1166018e+03, 1.2934125e+07],
       [1.1039835e+03, 1.3127256e+07],
       [1.0926007e+03, 1.3344688e+07],
       [1.0826613e+03, 1.3583579e+07],
       [1.0743169e+03, 1.3840295e+07]], dtype=float32)

我使用这段代码来绘制它们：

p1 = real_stock_price_volume[:,0]
v1 = real_stock_price_volume[:,1]
p2 = predicted_stock_price_volume[:,0]
v2 = predicted_stock_price_volume[:,1]
plt.plot(p1, color = 'red', label = 'p1')
plt.plot(v1, color = 'brown', label = 'v1')
plt.plot(p2, color = 'blue', label = 'p2')
plt.plot(v2, color = 'green', label = 'v2')
plt.title('Stock Price Prediction')
plt.xlabel('Time')
plt.ylabel('Stock Price')
plt.legend()
plt.show()

但我得到的是这个奇怪的情节：

我说很奇怪，因为我的数据相似（p1，p2 和 v1，v2），但图表却大不相同！问题是什么？

编辑：我也想知道如何p1 & p2在一个情节和v1 & v2其他情节中进行情节？

标签： pythonmatplotlibplot

您的数据并不是那么相似：v1 的最大值大约是 v2 最大值的 30 倍。

至于 p1 和 p2，它们在图上合并在一起。红线 (p1) 隐藏在蓝线 (p2) 之下。要将它们分开，您可以删除另外两个图：

plt.plot(p1, color = 'red', label = 'p1')
plt.plot(p2, color = 'blue', label = 'p2')
plt.show()

同样，要在单独的图中绘制 v1 和 v2，请运行：

plt.plot(v1, color = 'brown', label = 'v1')
plt.plot(v2, color = 'green', label = 'v2')
plt.show()

python - 使用“matplotlib.pyplot()”绘制数据时出现奇怪的结果

问题描述

解决方案

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