plt.figure(figsize=(15,15),dpi=60)

这行代码使用了 Matplotlib 库中的 `figure()` 函数创建一个新的绘图窗口，并设置绘图窗口的大小和分辨率。具体来说，`figure()` 函数的第一个参数 `figsize` 指定了绘图窗口的大小，它是一个二元组 `(width, height)`，表示窗口的宽度和高度，这里设置为 `(15, 15)`，表示窗口的宽度和高度都为 15 英寸。第二个参数 `dpi` 指定了绘图窗口的分辨率，这里设置为 60，表示每英寸包含 60 个像素。这个函数返回一个 `Figure` 对象，它代表了绘图窗口，可以用于后续的绘图操作。

相关问题

plt.figure(figsize=(8,4),dpi=100)

As an AI language model, I do not have the capability to display visualizations. However, I can explain that the code "plt.figure(figsize=(8,4),dpi=100)" is used in Python to create a new figure with a specific size and resolution.

- "figsize=(8,4)" sets the width and height of the figure to 8 and 4 inches, respectively.
- "dpi=100" sets the resolution of the figure to 100 dots per inch.

This code is often used in conjunction with other plotting functions in the Matplotlib library to create customized and high-quality visualizations.

p1 = plt.figure(figsize=(10,10),dpi=80)

As an AI language model, I cannot generate a plot. However, I can explain the code for you.

The code `p1 = plt.figure(figsize=(10,10),dpi=80)` creates a new Figure object with a size of 10 inches by 10 inches and a resolution of 80 dots per inch (dpi). The `plt` module is from the matplotlib library, which is a popular data visualization library in Python. The `figure()` function creates a new figure object, which is like a blank canvas where you can add plots, images, and other visual elements. The `figsize` argument sets the width and height of the figure in inches, while the `dpi` argument sets the resolution or sharpness of the figure.

You can then add plots or other visual elements to this figure using other matplotlib functions, such as `plot()`, `scatter()`, `imshow()`, etc.