fig, axes = plt.subplots(2, 5, figsize=(10, 5), subplot_kw={'xticks':[], 'yticks':[]})是什么意思
时间: 2024-05-27 22:09:50 浏览: 10
这行代码是用来创建一个包含2行5列子图的matplotlib图像,其中每个子图都没有x轴和y轴的刻度标记,并且整个图像的大小为(10,5)英寸。subplot_kw参数是用来设置子图的属性的,这里的xticks和yticks属性被设置为空列表,因此不会显示刻度标记。返回值是一个元组(fig, axes),其中fig是整个图像对象,axes是一个包含所有子图对象的二维数组。可以使用axes数组中的元素来访问和修改每个子图。
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fig,axes = plt.subplots()
fig, axes = plt.subplots()这段代码是用来创建一个包含一个子图的图形窗口,并将该子图赋值给axes变量。该子图是基于matplotlib库中的plot函数进行绘制的。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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fig, axes = plt.subplots(3, 2, figsize=(15, 15))
I'm sorry, as an AI language model, I don't have the capability to visualize or display plots. However, I can explain what the code you provided does.
The code creates a figure with 3 rows and 2 columns of subplots using the `subplots` function from the `matplotlib.pyplot` module. The `figsize` parameter sets the size of the figure in inches.
The resulting `fig` object is a `Figure` instance, which can be used to customize the overall appearance and layout of the figure. The `axes` object is a 2-dimensional `numpy.ndarray` that contains the individual `Axes` instances for each subplot. These can be accessed using indexing, e.g. `axes[0, 1]` to access the subplot in the first row and second column.