categories=['A','B','C','D']values=[4,7,2,5]plt.figure(figsize=(8,6))plt.bar(categories,values,label='Data - how2matplotlib.com')plt.title('Bar Chart with Custom Legend Location')plt.xlabel('Categories')plt.ylabel('Values')plt.legend(loc='upper right')plt.show() Python Copy ...
1,2,3]forax,locinzip(axes,locations):ax.plot(x,y1,label='Sin(x)')ax.plot(x,y2,label='Cos(x)')ax.legend(loc=loc)ax.set_title(f'Legend at location{loc}- how2matplotlib.com')plt.tight_layout()plt.show()
Learn how to use the default legend in matplotlib Map color text to colors in chart Put directly the legend on each line Use arrows to point to the legend Advanced use case with a custom legend for a map Patterns in charts Hatchs and patternsare a great way to enhance the readability of...
AI代码解释 importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.colorsimportLinearSegmentedColormap# 创建自定义颜色映射colors=["#0000ff","#00ff00","#ff0000"]# 蓝色到绿色到红色n_bins=100# 颜色映射中的颜色数量cmap_name='custom_cmap'# 创建颜色映射对象custom_cmap=LinearSegmentedColormap.from_lis...
The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case *bbox_to_anchor* will be ignored). For back-compatibility, ``'center right'`` (but no other location) can also ...
legend labels respectively: legend((line1, line2, line3), ('label1', 'label2', 'label3')) Parameters: loc : int or string or pair of floats, default: ‘upper right’ The location of the legend. Possible codes are: Location String Location Code ‘best’ 0 ‘upper right’ 1 ‘...
legend 还有一个可选参数 loc 决定画出图例的位置,详情见:http://matplotlib.org/users/legend_guide.html#legend-location 最常用的值如下: ax.legend(loc=0)# let matplotlib decide the optimal locationax.legend(loc=1)# upper right cornerax.legend(loc=2)# upper left cornerax.legend(loc=3)# lower...
ax.legend(); 这种方法的优点是,如果在图像上添加或者删除曲线,图例会随之自动更新。 legend函数有一个可供选择的关键字参数loc,用来确定图例添加的位置,loc参数的允许值是数值型代码,详见http://matplotlib.org/users/legend_guide.html#legend-location.下面列举了一些常见的loc值: ...
# 使用 plt.legend()importmatplotlib.pyplotasplt x=[1,2,3,4]y=[10,20,25,30]plt.plot(x,y,label='Dataset 1')plt.legend(loc='upper left',fontsize=10)plt.title('Sample Graph with Custom Label Location')plt.show() 1. 2. 3. ...
legend() 显示图例 刚开始看可能有点太慢,自己多练几遍多画几个就能很快掌握了。 2、常用图形 plot-折线图 前面介绍figure和axes是为了后面画复杂图形做铺垫,当然matplotlib 也有简易画图方法。 折线适用于观察对着周期、时间变化,业务变化情况如何,涨跌情况如何。