我们可以通过set_title()方法来设置图例标题,并通过get_title()方法来获取图例标题对象,然后使用set_fontsize()和set_color()方法来设置字体大小和颜色。下面是一个例子: importmatplotlib.pyplotaspltimportnumpyasnpfrommatplotlib.legendimportLegendx=np.linspace(0,10,100)y1=np.sin(x)y2=np.cos(x)line1,=...
5,7,8,10]# 创建图表plt.figure(figsize=(8,6))plt.plot(x,y1,label='Series 1')plt.plot(x,y2,label='Series 2')# 添加图例和图例标题legend=plt.legend(title='Data from how2matplotlib.com')# 设置图表标题和轴标签plt.title('Simple Plot with Legend Title')plt.xlabel('X-axis')plt.ylabel...
fig,ax=plt.subplots(1,1)ax.plot(np.random.randn(1000).cumsum())props={'title':'Matplotlib title','xlabel':'Stages'}ax.set(**props) 在同一图中绘制不同数据时,图例对于识别图元素至关重要。因此,我们使用标签“label和legend”方法来添加图例。 代码语言:javascript 代码运行次数:0 运行 AI代码解释...
plt.legend(loc='best',frameon=False) #去掉图例边框 plt.legend(loc='best',edgecolor='blue') #设置图例边框颜色 plt.legend(loc='best',facecolor='blue') #设置图例背景颜色,若无边框,参数无效 (4)设置图例标题 plt.legend(loc='best',title='figure 1 legend') #去掉图例边框 2.legend面向对象命令...
add_axes([left, bottom, width, height]) # main axes ax1.plot(x, y, 'r')#绘制大图,颜色为red ax1.set_xlabel('x')#横坐标名称为x ax1.set_ylabel('y') ax1.set_title('title')#图名称为title #绘制小图,注意坐标系位置和大小的改变 ax2 = fig.add_axes([0.2, 0.6, 0.25, 0.25]) ...
plt.legend(scatterpoints=1, frameon=False, labelspacing=1, title='City Area') plt.title('California Cities: Area and Population'); 之前的图例都关联着图表上的一些对象,因此如果我们需要展示图例的话我们首先需要绘制图表元素。在上例中,我们需要的图例对象(灰色圆圈)不在图表上,因此我们采用绘制空列表的...
plt.legend(loc='best',title='figure 1 legend') #去掉图例边框 2.legend面向对象命令 (1)获取并设置legend图例 plt.legend(loc=0, numpoints=1) leg = plt.gca().get_legend() #或leg=ax.get_legend() ltext = leg.get_texts() plt.setp(ltext, fontsize=12,fontweight='bold') ...
()# add the axesax = fig.add_axes()l1 = ax.plot(x1,y,'ys-')l2 = ax.plot(x2,y,'go--')# add additional parametersax.legend(labels = ('line 1', 'line 2'), loc = 'lower right')ax.set_title("usage of add axes function")ax.set_xlabel('x-axix')ax.set_ylabel('y-...
The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. In this case, the labels are taken from the artist. You can specify them either at artist creation or by calling the
# 使用lambda创建wave函数wave = lambda amp, angle, phase: amp * np.sin(angle + phase)# 设置参数值theta = np.linspace(0., 2 * np.pi, 100)amp = np.linspace(0, .5, 5)phase = np.linspace(0, .5, 5)# 创建主容器及其标题plt.figure()plt.title(r'Wave Function $y = \gamma \sin...