笔记
单击此处 下载完整的示例代码
GridSpec 演示#
此示例演示了使用GridSpec
来生成子图,使用width_ratios和
height_ratios控制子图的相对大小,以及使用子图参数(left、right、bottom、top、wspace和
hspace)控制子图周围和子图之间的间距.
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
def annotate_axes(fig):
for i, ax in enumerate(fig.axes):
ax.text(0.5, 0.5, "ax%d" % (i+1), va="center", ha="center")
ax.tick_params(labelbottom=False, labelleft=False)
fig = plt.figure()
fig.suptitle("Controlling subplot sizes with width_ratios and height_ratios")
gs = GridSpec(2, 2, width_ratios=[1, 2], height_ratios=[4, 1])
ax1 = fig.add_subplot(gs[0])
ax2 = fig.add_subplot(gs[1])
ax3 = fig.add_subplot(gs[2])
ax4 = fig.add_subplot(gs[3])
annotate_axes(fig)
fig = plt.figure()
fig.suptitle("Controlling spacing around and between subplots")
gs1 = GridSpec(3, 3, left=0.05, right=0.48, wspace=0.05)
ax1 = fig.add_subplot(gs1[:-1, :])
ax2 = fig.add_subplot(gs1[-1, :-1])
ax3 = fig.add_subplot(gs1[-1, -1])
gs2 = GridSpec(3, 3, left=0.55, right=0.98, hspace=0.05)
ax4 = fig.add_subplot(gs2[:, :-1])
ax5 = fig.add_subplot(gs2[:-1, -1])
ax6 = fig.add_subplot(gs2[-1, -1])
annotate_axes(fig)
plt.show()