50)y1=np.sin(x)y2=np.cos(x)# 创建散点图plt.scatter(x,y1,label='sin(x) - how2matplotlib.com')plt.scatter(x,y2,label='cos(x) - how2matplotlib.com')# 添加图例plt.legend()# 设置标题和轴标签plt.title('Simple Scatter Plot with Legend')plt.xlabel('X axis')plt.ylabel('Y axis'...
To add a legend to a plot in Matplotlib, we can use thelegendfunction. By default, thelegendfunction will add a legend for all elements on the plot. However, we can specify which elements we want to include in the legend by passing alabelargument when plotting those elements. importmatplo...
1. 在图表中添加基本图例 要在Matplotlib中添加图例,我们可以使用legend()方法。下面是一个简单的例子: importmatplotlib.pyplotasplt x=[1,2,3,4,5]y=[2,4,6,8,10]plt.plot(x,y,label='Line 1')plt.legend()plt.show() Python Copy Output: 在这个例子中,我们创建了一个简单的折线图,并使用label...
import matplotlib.pyplot as plt line1, = plt.plot([1,2,3], label="Line 1", linestyle='--') line2, = plt.plot([3,2,1], label="Line 2", linewidth=4) # 为第一个线条创建图例 first_legend = plt.legend(handles=[line1], loc=1) # 手动将图例添加到当前轴域 ax = plt.gca()....
frompylabimport*fromnumpyimport*x=linspace(0,pi,20)L1,=plot(x,sin(x),label='Sin')L2,=plot(x,cos(x),label='Cos')f1=legend(handles=[L1],bbox_to_anchor=(0.5,1.15),ncol=2)gca().add_artist(f1)legend(handles=[L2],bbox_to_anchor=(0.5,0.0),ncol=2)show() ...
语法参数如下: matplotlib.pyplot.legend(*args, **kwargs) 常用的几个参数: 1.1 设置图列位置 plt.legend(loc='upper center') 0: ‘best' 1: ‘upper right' 2: ‘upper left' 3: ‘lower left' 4: ‘lower right' 5: ‘right' 6: ‘center left' ...
legend = plt.legend(["First", "Second"]) frame = legend.get_frame() frame.set_facecolor('blue') 1. 2. 3. 1.4 设置图例标题 legend = plt.legend(["CH", "US"], title='China VS Us') 1. 1.5 设置图例名字及对应关系 legend = plt.legend([p1, p2], ["CH", "US"]) ...
no legend being drawn. **2. Labeling existing plot elements** To make a legend for lines which already exist on the axes (via plot for instance), simply call this function with an iterable of strings, one for each legend item. For example:: ...
How to add a legend to the plots? For example, if using several moving averages it will be useful to show a legend to map moving averages to line plots. Is clear how this is done using matplotlib but I did not see an example of how to do...
legendax2.legend(bbox_to_anchor=(1.1, 0, 0.2, 0.2), loc = 'center') plt.show() 3 日历图 我们常用的日历也可以当作可视化工具,适用于显示不同时间段,以及活动的组织情况。时间段通常以不同单位表示,例如日、周、月、年。 日历图的可视化形式主要有:以年为单位的日历图和以月为单位的日历图。