category

2023-07-26 00:46:01 +08:00
parent c7cbcd09af
commit 822fa7e626
212 changed files with 5687 additions and 5687 deletions
--- a/language_learning/python/2020.12.23_plot_with_matplotlib/plot_2D_scatter.py
+++ b/language_learning/python/2020.12.23_plot_with_matplotlib/plot_2D_scatter.py
@@ -0,0 +1,32 @@
+import numpy as np
+# import os
+# os.chdir('D:/data')  # 设置文件保存的位置
+
+
+def main():
+    x = [4, 3, 5, 7]
+    y = [6, 1, 3, 2]
+    value = [3, 1, 10, 2]
+    Plot_2D_Scatter(x, y, value, title='Plot 2D Scatter')
+
+
+def Plot_2D_Scatter(x, y, value, xlabel='x', ylabel='y', title='title', filename='a'):
+    import matplotlib.pyplot as plt
+    fig = plt.figure()
+    ax = fig.add_subplot(111)
+    plt.subplots_adjust(bottom=0.2, right=0.8, left=0.2) 
+    for i in range(np.array(x).shape[0]):
+        ax.scatter(x[i], y[i], marker='o', s=100*value[i], c=[(1,0,0)])
+    ax.set_title(title, fontsize=20, fontfamily='Times New Roman')
+    ax.set_xlabel(xlabel, fontsize=20, fontfamily='Times New Roman') 
+    ax.set_ylabel(ylabel, fontsize=20, fontfamily='Times New Roman') 
+    ax.tick_params(labelsize=15)  # 设置刻度值字体大小
+    labels = ax.get_xticklabels() + ax.get_yticklabels() 
+    [label.set_fontname('Times New Roman') for label in labels] # 设置刻度值字体
+    # plt.savefig(filename+'.jpg', dpi=300) 
+    plt.show()
+    plt.close('all')
+
+
+if __name__ == '__main__':
+    main()
--- a/language_learning/python/2020.12.23_plot_with_matplotlib/plot_3D_scatter.py
+++ b/language_learning/python/2020.12.23_plot_with_matplotlib/plot_3D_scatter.py
@@ -0,0 +1,38 @@
+import numpy as np
+# import os
+# os.chdir('D:/data')  # 设置文件保存的位置
+
+
+def main():
+    x = [1, 3, 5, 7]
+    y = [2, 4, 6, 8]
+    z = [2, 8, 6, 1]
+    value = [3, 1, 10, 2]
+    Plot_3D_Scatter(x, y, z, value, title='Plot 3D Scatter')
+
+
+def Plot_3D_Scatter(x, y, z, value, xlabel='x', ylabel='y', zlabel='z', title='title', filename='a'):
+    import matplotlib.pyplot as plt
+    from matplotlib.ticker import LinearLocator
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    plt.subplots_adjust(bottom=0.1, right=0.8) 
+    for i in range(np.array(x).shape[0]):
+        ax.scatter(x[i], y[i], z[i], marker='o', s=int(100*value[i]), c=[(1,0,0)])
+    ax.set_title(title, fontsize=20, fontfamily='Times New Roman')
+    ax.set_xlabel(xlabel, fontsize=20, fontfamily='Times New Roman') 
+    ax.set_ylabel(ylabel, fontsize=20, fontfamily='Times New Roman') 
+    ax.set_zlabel(zlabel, fontsize=20, fontfamily='Times New Roman') 
+    # ax.set_zlim(0, 20) 
+    # ax.zaxis.set_major_locator(LinearLocator(6)) # 设置z轴主刻度的个数
+    # ax.zaxis.set_major_formatter('{x:.0f}')   # 设置z轴主刻度的格式
+    ax.tick_params(labelsize=15)  # 设置刻度值字体大小
+    labels = ax.get_xticklabels() + ax.get_yticklabels() + ax.get_zticklabels()
+    [label.set_fontname('Times New Roman') for label in labels] # 设置刻度值字体
+    # plt.savefig(filename+'.jpg', dpi=300) 
+    plt.show()
+    plt.close('all')
+
+
+if __name__ == '__main__':
+    main()
--- a/language_learning/python/2020.12.23_plot_with_matplotlib/plot_3D_surface.py
+++ b/language_learning/python/2020.12.23_plot_with_matplotlib/plot_3D_surface.py
@@ -0,0 +1,43 @@
+import numpy as np
+# import os
+# os.chdir('D:/data')  # 设置文件保存的位置
+
+
+def main():
+    x = np.arange(-5, 5, 0.25)
+    y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(x, y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+    Plot_3D_Surface(x,y,Z)
+
+
+def Plot_3D_Surface(x,y,matrix,filename='a.jpg', titlename='Plot 3D Surface'):
+    import matplotlib.pyplot as plt
+    from matplotlib import cm
+    from matplotlib.ticker import LinearLocator
+    fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
+    plt.subplots_adjust(bottom=0.1, right=0.65)  # 调整位置
+    x, y = np.meshgrid(x, y)
+    surf = ax.plot_surface(x, y, matrix, cmap=cm.coolwarm, linewidth=0, antialiased=False)  # Plot the surface.
+    ax.set_title(titlename, fontsize=20, fontfamily='Times New Roman')
+    ax.set_xlabel('x', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    ax.set_ylabel('y', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    ax.set_zlabel('z', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    # ax.set_zlim(-1, 1)  # 设置z轴的范围
+    ax.zaxis.set_major_locator(LinearLocator(5)) # 设置z轴主刻度的个数
+    ax.zaxis.set_major_formatter('{x:.2f}')   # 设置z轴主刻度的格式
+    ax.tick_params(labelsize=15)  # 设置刻度值字体大小
+    labels = ax.get_xticklabels() + ax.get_yticklabels() + ax.get_zticklabels()
+    [label.set_fontname('Times New Roman') for label in labels] # 设置刻度值字体
+    cax = plt.axes([0.75, 0.15, 0.05, 0.75]) # color bar的位置 [左，下，宽度， 高度]
+    cbar = fig.colorbar(surf, cax=cax)  # color bar
+    cbar.ax.tick_params(labelsize=15) # 设置color bar刻度的字体大小
+    [l.set_family('Times New Roman') for l in cbar.ax.yaxis.get_ticklabels()] # 设置color bar刻度的字体
+    # plt.savefig(filename, dpi=800) # 保存图片文件
+    plt.show()
+    plt.close('all')  # 关闭所有plt，防止循环画图时占用内存
+
+
+if __name__ == '__main__':
+    main()
--- a/language_learning/python/2020.12.23_plot_with_matplotlib/plot_contour.py
+++ b/language_learning/python/2020.12.23_plot_with_matplotlib/plot_contour.py
@@ -0,0 +1,41 @@
+import numpy as np
+# import os
+# os.chdir('D:/data')  # 设置文件保存的位置
+
+
+def main():
+    x = np.arange(-5, 5, 0.25)
+    y = np.arange(-5, 5, 0.25)
+    X, Y = np.meshgrid(x, y)
+    R = np.sqrt(X**2 + Y**2)
+    Z = np.sin(R)
+    Plot_Contour(x,y,Z)
+
+
+def Plot_Contour(x,y,matrix,filename='a.jpg', titlename='Plot Contour'):
+    import matplotlib.pyplot as plt
+    from matplotlib import cm
+    from matplotlib.ticker import LinearLocator
+    fig, ax = plt.subplots()
+    plt.subplots_adjust(bottom=0.15, right=0.7)  # 调整位置
+    x, y = np.meshgrid(x, y)
+    contour = ax.contourf(x,y,matrix,cmap='jet') 
+    ax.set_title(titlename, fontsize=20, fontfamily='Times New Roman')
+    ax.set_xlabel('x', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    ax.set_ylabel('y', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    # plt.xlabel('x')
+    # plt.ylabel('y') 
+    ax.tick_params(labelsize=15)  # 设置刻度值字体大小
+    labels = ax.get_xticklabels() + ax.get_yticklabels()
+    [label.set_fontname('Times New Roman') for label in labels] # 设置刻度值字体
+    cax = plt.axes([0.75, 0.15, 0.08, 0.73]) # color bar的位置 [左，下，宽度， 高度]
+    cbar = fig.colorbar(contour, cax=cax)  # color bar
+    cbar.ax.tick_params(labelsize=15) # 设置color bar刻度的字体大小
+    [l.set_family('Times New Roman') for l in cbar.ax.yaxis.get_ticklabels()] # 设置color bar刻度的字体
+    # plt.savefig(filename, dpi=800) # 保存图片文件
+    plt.show()
+    plt.close('all')  # 关闭所有plt，防止循环画图时占用内存
+
+
+if __name__ == '__main__':
+    main()
--- a/language_learning/python/2020.12.23_plot_with_matplotlib/plot_line.py
+++ b/language_learning/python/2020.12.23_plot_with_matplotlib/plot_line.py
@@ -0,0 +1,30 @@
+import numpy as np
+# import os
+# os.chdir('D:/data')  # 设置文件保存的位置
+
+
+def main():
+    x = np.arange(0.0, 2.0, 0.01)
+    y = 1 + np.sin(2 * np.pi * x)
+    Plot_Line(x,y)
+
+
+def Plot_Line(x,y,filename='a.jpg', titlename='Plot Line'):
+    import matplotlib.pyplot as plt
+    fig, ax = plt.subplots()
+    plt.subplots_adjust(bottom=0.20, left=0.16) 
+    ax.plot(x, y, '-o')
+    ax.grid()
+    ax.set_title(titlename, fontsize=20, fontfamily='Times New Roman')
+    ax.set_xlabel('x', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    ax.set_ylabel('y', fontsize=30, fontfamily='Times New Roman') # 坐标标签
+    ax.tick_params(labelsize=20)  # 设置刻度值字体大小
+    labels = ax.get_xticklabels() + ax.get_yticklabels()
+    [label.set_fontname('Times New Roman') for label in labels] # 设置刻度值字体
+    # plt.savefig(filename, dpi=800) # 保存图片文件
+    plt.show()
+    plt.close('all')  # 关闭所有plt，防止循环画图时占用内存
+
+
+if __name__ == '__main__':
+    main()