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Matlib.py

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+import matplotlib
+import numpy as np
+import pandas as pd
+
+import matplotlib.pyplot as plt
+def PolylineG1(left,rigt,density,A,displacement):
+    x=np.linspace(left,rigt,density)
+    y=A*x + displacement
+    yLeft=A*left + displacement
+    yRigt=A*rigt + displacement
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    ax.set(xlim=[left, rigt], ylim=[yLeft, yRigt], title='一次函数',
+           ylabel='Y-Axis', xlabel='X-Axis')
+    plt.plot(x,y)
+    plt.show()
+
+
+def PolylineG2(left,rigt,density,A,B,displacement):
+    x = np.linspace(left, rigt, density)
+    y = A * (x**2) + B*x + displacement
+    yLeft = A * (left ** 2) + B * left + displacement
+    yRigt = A * (rigt ** 2) + B * rigt + displacement
+    ymind = A * ((-A/2*B) ** 2) + B * (-A/2*B) + displacement
+    if(left<(-A/2*B)<rigt):
+        yMax=max(yLeft,yRigt)
+        Max=max(ymind,yMax)
+        Min=min(ymind,yMax)
+    else:
+        Max=max(yLeft,yRigt)
+        Min=min(yLeft,yRigt)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    #ax.set(xlim=[left, rigt], ylim=[Min, Max], title='二次函数',
+    #       ylabel='Y-Axis', xlabel='X-Axis')
+    plt.plot(x, y)
+    plt.show()
+
+def PolylineG3(left,rigt,density,A,B,D,displacement):
+    x = np.linspace(left, rigt, density)
+    y = A * (x**3) + B*(x**2)+ D*x + displacement
+    yLeft = A * (left**3) + B*(left**2)+ D*left + displacement
+    yRigt = A * (rigt**3) + B*(rigt**2)+ D*rigt + displacement
+    Max = max(yLeft, yRigt)
+    Min = min(yLeft, yRigt)
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    #ax.set(xlim=[left, rigt], ylim=[Min, Max], title='三次函数',
+    #       ylabel='Y-Axis', xlabel='X-Axis')
+    plt.plot(x, y)
+    plt.show()
+
+def Sine(left,rigt,density,displacement):
+    x=np.linspace(left,rigt,density)*np.pi/180
+    d=displacement*np.pi/180
+    y=np.sin(d+x)
+    yLeft = -1
+    yRigt = 1
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    # ax.set(xlim=[left, rigt], ylim=[yLeft, yRigt], title='正弦函数',
+    #       ylabel='Y-Axis', xlabel='X-Axis')
+    plt.plot(x,y)
+    plt.show()
+
+def Cosine(left,rigt,density,displacement):
+    x = np.linspace(left, rigt, density) * np.pi / 180
+    d = displacement * np.pi / 180
+    y = np.cos(d + x)
+    yLeft = -1
+    yRigt = 1
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    #ax.set(xlim=[left, rigt], ylim=[yLeft, yRigt], title='余弦函数',
+    #       ylabel='Y-Axis', xlabel='X-Axis')
+    plt.plot(x, y)
+    plt.show()
+
+#def ScatterG():
+
+def BarG(x,y):
+
+    fig, axes = plt.subplots()
+
+    vert_bars = axes.bar(x, y, color='lightblue', align='center')
+    #horiz_bars = axes[1].barh(x, y, color='lightblue', align='center')
+    # 在水平或者垂直方向上画线
+    axes.axhline(0, color='gray', linewidth=2)
+    #axes[1].axvline(0, color='gray', linewidth=2)
+    axes.set(title='abs')
+    plt.show()
+
+def Histogram(x,n_bins):
+
+    fig, axes = plt.subplots(nrows=2, ncols=2)
+    ax0= axes.flatten()
+
+    colors = ['red', 'tan', 'lime']
+    ax0.hist(x, n_bins, density=True, histtype='bar', color=colors, label=colors)
+    ax0.legend(prop={'size': 10})
+    ax0.set_title('bars with legend')
+
+    fig.tight_layout()
+    plt.show()