o.set(alpha=0.5,zorder=2) 如果你在 Python 交互式 Shell 中工作,检查Artist属性的一种方便的方法是使用matplotlib.artist.getp()函数(在 pylab 中只需要getp()),它列出了属性及其值。 这适用于从Artist派生的类,例如Figure和Rectangle。 这里是上面提到的Figure的矩形属性: 代码语言:javascript 代码运行次数:0...
Autoscale the scalar limits on the norm instance using the current array autoscale_None(self)[source] Autoscale the scalar limits on the norm instance using the current array, changing only limits that are None changed(self)[source] Call this whenever the mappable is changed to notify all the...
import numpy as npimport matplotlib.pyplot as pltupperlimits = [True, False] * 5lowerlimits = [False, True] * 5fig = plt.figure()x = np.arange(10) / 10y = (x + 0.1)**2plt.errorbar(x, y, xerr=0.1, xlolims=True, label='xlolims=True')y = (x + 0.1)**3plt.errorbar(...
Out[287]:10Text major ticklabel objects># note there are twice as many ticklines as labels because by# default there are tick lines at the top and bottom but only tick# labels below the xaxis; this can be customizedIn [288]: axis.get_ticklines() Out[288]:20Line2D ticklines objects...
在这个例子中,我们使用plt.annotate('y = x^2', xy=(5, 25), xytext=(6, 40), arrowprops=dict(facecolor='black', shrink=0.05), fontsize=16)添加了一个注释,并将其文本大小设置为 16 点。xy参数指定箭头的目标位置,xytext参数指定文本的位置,arrowprops参数用于设置箭头的属性。您可以根据需要调整font...
("Custom view limits:",ax.get_xlim(),ax.get_ylim())# 重置为默认间隔ax.xaxis.set_default_intervals()ax.yaxis.set_default_intervals()# 打印重置后的视图限制print("Reset view limits:",ax.get_xlim(),ax.get_ylim())plt.title('How2matplotlib.com: Understanding Default Int...
Matplotlib 可以通过 pip 安装,支持 Python 2.7 和 Python 3.x。 安装Matplotlib: pip install matplotlib 导入Matplotlib: import matplotlib.pyplot as plt 基础图表绘制 线条图绘制 线条图是最基本的图表类型之一,常用于展示数据随时间的变化趋势。 示例代码: ...
lines = plt.plot(x, np.sin(x), x, np.cos(x)) 调用setp()以同时配置多个对象的属性,这里同时设置两条曲线的颜色和线宽: plt.setp(lines, color="r”, linewidth=4.0) 通过调用Line2D对象的get_*()或者通过plt.getp()来获取对象的属性值: line.get_linewidth() plt.getp(lines[0], "color")...
In [268]: print rect.get_transform() <Affine object at 0x15009ca4> # the default axes transformation is ax.transData In [269]: print ax.transData <Affine object at 0x15009ca4> # notice that the xlimits of the Axes have not been changed ...
Theplt.plot(orax.plot) function will automatically set defaultxandylimits.plt.plot(或ax.plot)函数将自动设置默认的x和y限制。If you wish to keep those limits, and just change the stepsize of the tick marks, then you could useax.get_xlim()to discover what limits Matplotlib has already set....