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...
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() 这样大家看到每一个legen...
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...
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' ...
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:: ...
plt.plot(df['assists'], label='Assists', color='steelblue') #place legend in center right of plot plt.legend(loc='upper left', title='Metric') 示例2:在 Matplotlib 绘图之外更改图例位置 要将图例放置在 Matplotlib 图之外,我们可以使用bbox_to_anchor()参数。
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...
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"]) ...
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。