Python图像绘制基础——子图绘制

import matplotlib.pyplot as pltmy_dpi = 96fig, axs = plt.subplots(2, 2, figsize=(480 / my_dpi, 480 / my_dpi), dpi=my_dpi,   sharex=False,  # x轴刻度值共享开启   sharey=False,  # y轴刻度值共享关闭   )# fig为matplotlib.figure.Figure对象# axs为matplotlib.axes.Axes，把fig分成2x2的子图axs[0][0].plot([1, 2, 3])axs[0][1].bar([1, 2, 3], [4, 5, 6])axs[0][1].set(title='title')  # 设置axes及子图标题axs[0][1].set_xlabel('set_xlabel', fontsize=15, color='g')  # 设置x轴刻度标签axs[0][1].set_ylabel('set_ylabel', fontsize=15, color='g')  # 设置y轴刻度标签axs[0][1].set_xlim(0, 8)  # 设置x轴刻度范围axs[0][1].set_xticks(range(0, 10, 2))  # 设置x轴刻度间距axs[0][1].tick_params(axis='x',  # 可选'y'，'both' labelsize=20, rotation=45)  # x轴标签旋转、字号等axs[1][0].plot([1, 2, 3])axs[1][1].bar([1, 2, 3], [4, 5, 6])fig.suptitle('matplotlib object-oriented', color='r')  # 设置fig即整整张图的标题# 修改子图在整个figure中的位置（上下左右）plt.subplots_adjust(left=0.125,      bottom=-0.61,      right=1.3,  # 防止右边子图y轴标题与左边子图重叠      top=0.88,      wspace=0.2,      hspace=0.2      )# 参数介绍'''## The figure subplot parameters.  All dimensions are a fraction of the figure width and height.#figure.subplot.left:   0.125  # the left side of the subplots of the figure#figure.subplot.right:  0.9    # the right side of the subplots of the figure#figure.subplot.bottom: 0.11   # the bottom of the subplots of the figure#figure.subplot.top:    0.88   # the top of the subplots of the figure#figure.subplot.wspace: 0.2    # the amount of width reserved for space between subplots,   # expressed as a fraction of the average axis width#figure.subplot.hspace: 0.2    # the amount of height reserved for space between subplots,   # expressed as a fraction of the average axis height'''plt.show()

具体代码和注释已给出，下图是运行效果：