matplotlab库中的核心概念总结【Figure、Axes、subplot、Axis】容易混淆的概念

小鱼儿 2021-08-13 20:15 481阅读 0赞

参考文档：[https://www.zhihu.com/question/51745620][https_www.zhihu.com_question_51745620]

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### **关于方法add\_axes 和 add\_subplot 创建axes画图区域的区别** ###

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80MzM0MzE0NA_size_16_color_FFFFFF_t_70 1][]

import matplotlib.pyplot as plt
    import pandas as pd
    import numpy as np
    
    x = np.random.randint(1, 10, 3)
    y = np.arange(0, 3, 1)
    
    # 创建一个画板的意思
    fg = plt.figure()  # type:plt.Figure
    
    # 在画板上添加一个可绘画的区域【坐标轴】
    ax = fg.add_subplot(1, 1, 1)  # type:plt.Axes
    
    # 接下来一系列操作都是基于axes对象中操作！
    ax.locator_params(axis="x", nbins=2, tight=True)
    a1, = ax.plot(y, x, "r.--", label="line", )
    a2, = ax.plot(y + 1, "g.--", label="line2")
    ax.legend((a1, a2), ("line", "line2"))
    fg.show()

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import matplotlib.pyplot as plt
    import pandas as pd
    import numpy as np
    
    x = np.arange(1, 12, 4)
    y = np.arange(1, 4, 1)
    
    fg = plt.figure()  # type:plt.Figure
    # 这里是[left, bottom, width, height] 是百分比小数【相对figure】
    ax = fg.add_axes([0, 0, 1, 1])
    ax1 = fg.add_axes([0.1, 0.1, 0.5, 0.5])
    
    ax.plot(x, y)
    ax1.plot(x, y)
    fg.show()

[https_www.zhihu.com_question_51745620]: https://www.zhihu.com/question/51745620
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