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  • 《Python数据可视化之matplotlib实践》 源码 第三篇 演练 第八章

    图  8.1

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    plt.axes([0.05, 0.7, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="--")
    
    
    plt.axes([0.3, 0.4, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(2+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")
    
    
    plt.axes([0.55, 0.1, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle=":")
    
    
    
    plt.show()
    View Code

    ================================================

    图  8.2

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    plt.axes([0.05, 0.7, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="--")
    plt.ylim(0, 1.5)
    plt.axis("image")
    
    
    plt.axes([0.3, 0.4, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(2+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")
    plt.ylim(0, 1.5)
    plt.axis([2.1, 3.9, 0.5, 1.9])
    
    plt.axes([0.55, 0.1, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
    plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle=":")
    plt.ylim(0, 1.5)
    plt.axis("off")
    
    
    plt.show()
    View Code

    ================================================

    图  8.3

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    plt.axis([3, 7, -0.5, 3])
    plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")
    
    
    plt.show()
    View Code

    ================================================

    图  8.4

     

    import matplotlib.pyplot as plt
    
    ax1=plt.subplot(121)
    ax1.set_xticks(range(0, 251, 50))
    
    plt.grid(True, axis="x")
    
    
    
    
    
    
    
    ax2=plt.subplot(122)
    ax2.set_xticks([])
    plt.grid(True, axis="x")
    
    
    
    
    plt.show()
    View Code

    ================================================

    图  8.5

     

    import matplotlib.pyplot as plt
    
    
    ax1=plt.subplot(221)
    plt.setp(ax1.get_xticklabels(), visible=True)
    plt.setp(ax1.get_xticklines(), visible=True)
    plt.grid(True, axis="x")
    
    
    
    
    ax2=plt.subplot(222)
    plt.setp(ax2.get_xticklabels(), visible=True)
    plt.setp(ax2.get_xticklines(), visible=False)
    plt.grid(True, axis="x")
    
    
    
    ax3=plt.subplot(223)
    plt.setp(ax3.get_xticklabels(), visible=False)
    plt.setp(ax3.get_xticklines(), visible=True)
    plt.grid(True, axis="x")
    
    
    ax4=plt.subplot(224)
    plt.setp(ax4.get_xticklabels(), visible=False)
    plt.setp(ax4.get_xticklines(), visible=False)
    plt.grid(True, axis="x")
    
    
    plt.show()
    View Code

    ================================================

    图  8.6

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    x=np.linspace(0.5, 2*np.pi, 20)
    y=np.random.randn(20)
    
    
    markerline, stemlines, baseline = plt.stem(x, y)
    
    
    plt.setp(markerline, color="chartreuse", marker="D")
    plt.setp(stemlines, linestyle="-.")
    baseline.set_linewidth(2)
    
    plt.show()
    View Code

    ================================================

    图  8.7

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    
    from calendar import  day_name
    from matplotlib.ticker import FormatStrFormatter
    
    
    fig=plt.figure()
    
    
    ax=fig.add_axes([0.2, 0.2, 0.7, 0.7])
    ax.spines["bottom"].set_position(("outward", 10))
    ax.spines["left"].set_position(("outward", 10))
    ax.spines["top"].set_color("none")
    ax.spines["right"].set_color("none")
    
    x=np.arange(1, 8, 1)
    y=2*x+1
    
    
    ax.scatter(x, y, c="orange", s=50, edgecolors="orange")
    
    
    for tickline in ax.xaxis.get_ticklines():
        tickline.set_color("blue")
        tickline.set_markersize(8)
        tickline.set_markeredgewidth(5)
        
    
    for ticklabel in ax.get_xmajorticklabels():
        ticklabel.set_color("slateblue")
        ticklabel.set_fontsize(15)
        ticklabel.set_rotation(20)
        
        
    ax.yaxis.set_major_formatter(FormatStrFormatter(r"$yen%1.1f$"))
    plt.xticks(x, day_name[0:7], rotation=20)
    ax.yaxis.set_ticks_position("left")
    ax.xaxis.set_ticks_position("bottom")
    
    
    
        
    for tickline in ax.yaxis.get_ticklines():
        tickline.set_color("lightgreen")
        tickline.set_markersize(8)
        tickline.set_markeredgewidth(5)
        
    
    for ticklabel in ax.get_ymajorticklabels():
        ticklabel.set_color("green")
        ticklabel.set_fontsize(18)
    
    
    
    ax.grid(ls=":", lw=1, color="gray", alpha=0.5)
    
    plt.show()  
    View Code

    ================================================

    图  8.8

     

    import matplotlib.pyplot as plt
    import numpy as np
    
    x=np.linspace(-2*np.pi, 2*np.pi, 1000)
    y=np.sin(x)
    
    ax1=plt.subplot(221)
    
    ax1.spines["right"].set_color("none")
    ax1.spines["top"].set_color("none")
    ax1.set_xlim(-2*np.pi, 2*np.pi)
    ax1.set_ylim(-1.0, 1.0)
    plt.title(r"$a$")
    plt.scatter(x, y, marker="+", color="b")
    
    
    
    ax2=plt.subplot(222)
    
    ax2.spines["right"].set_color("none")
    ax2.spines["top"].set_color("none")
    ax2.xaxis.set_ticks_position("bottom")
    ax2.set_xlim(-2*np.pi, 2*np.pi)
    ax2.set_ylim(-1.0, 1.0)
    plt.title(r"$b$")
    plt.scatter(x, y, marker="+", color="b")
    
    
    
    ax3=plt.subplot(223)
    
    ax3.spines["right"].set_color("none")
    ax3.spines["top"].set_color("none")
    ax3.yaxis.set_ticks_position("left")
    ax3.set_xlim(-2*np.pi, 2*np.pi)
    ax3.set_ylim(-1.0, 1.0)
    plt.title(r"$c$")
    plt.scatter(x, y, marker="+", color="b")
    
    
    ax4=plt.subplot(224)
    
    ax4.spines["right"].set_color("none")
    ax4.spines["top"].set_color("none")
    ax4.xaxis.set_ticks_position("bottom")
    ax4.yaxis.set_ticks_position("left")
    ax4.set_xlim(-2*np.pi, 2*np.pi)
    ax4.set_ylim(-1.0, 1.0)
    plt.title(r"$d$")
    plt.scatter(x, y, marker="+", color="b")
    
    
    
    plt.show()
    View Code

    ================================================

    图  8.9

    import matplotlib as mpl
    import matplotlib.pyplot as plt
    import numpy as np
    
    
    mpl.rcParams["font.sans-serif"]=["SimHei"]
    mpl.rcParams["axes.unicode_minus"]=False
    
    
    x=np.linspace(-2*np.pi, 2*np.pi, 200)
    y=np.sin(x)
    y1=np.cos(x)
    
    ax=plt.subplot(111)
    
    
    ax.plot(x, y, ls="-", lw=2, label="$sin(x)$")
    ax.plot(x, y1, ls="-", lw=2, label="$cos(x)$")
    
    ax.legend(loc="lower left")
    
    plt.title("$sin(x)$"+""+"$cos(x)$"+"函数")
    
    ax.set_xlim(-2*np.pi, 2*np.pi)
    
    
    plt.xticks([-2*np.pi, -3*np.pi/2, -1*np.pi, -1*(np.pi)/2, 0, 
                (np.pi)/2, np.pi, 3*np.pi/2, 2*np.pi], 
               ["$-2pi$", "$-3pi/2$", "$-pi$", "$-pi/2$", 
                "$0$", "$pi/2$", "$pi$", "$3pi/2$", "$2pi$"])
    
    
    
    ax.spines["right"].set_color("none")
    ax.spines["top"].set_color("none")
    
    
    ax.spines["bottom"].set_position(("data", 0))
    ax.spines["left"].set_position(("data", 0))
    
    
    ax.xaxis.set_ticks_position("bottom")
    ax.yaxis.set_ticks_position("left")
    
    plt.show()
    View Code

    ================================================

     

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  • 原文地址:https://www.cnblogs.com/devilmaycry812839668/p/13245901.html
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