plt.legend([p3, p4], ['label', 'label1'], loc='lower right', scatterpoints=1) # Add l1 as a separate artist to the axes plt.gca().add_artist(l1) import matplotlib.pyplot as plt line1, = plt.plot([1,2,3], label="Line 1", linestyle='--') line2, = plt.plot([3,2,1...
Python中使用legend()函数的方法-import numpy as np import matplotlib.pyplot as plt # X-axis values x = [1, 2, 3, 4, 5] # Y-axis values y = [1, 4, 9, 16, 25] # Function to plot plt.plot(x, y) # Function add a legend plt.legend(['single element']) # function to show...
python-pyplot库中legend函数即参数使⽤ 1.图例legend基础语法及⽤法 legend语法参数如下: matplotlib.pyplot.legend(*args, **kwargs)Keyword Description loc Location code string, or tuple (see below).图例所有figure位置 prop the font property字体参数 fontsize the font size (used only if prop is ...
# frameon=False参数表示不显示坐标轴的边框 ax = fig.add_axes([0, 0, 1, 1], frameon=False) ax.set_xlim(0, 1), ax.set_xticks([]) ax.set_ylim(0, 1), ax.set_yticks([]) # 创建雨滴数据 n_drops = 50 rain_drops = np.zeros(n_drops, dtype=[('position', float, (2,)), (...
import matplotlib.pyplot as plt plt.figure(figsize(10, 6)) # 定义画布大小 plt.plot(x, y, c='k', linewiidth=12, label='***') # 绘制折线图,并定义线型颜色、宽度、标签 plt.legend(loc='upper right') # 显示线型标签,并注明在图中的位置loc,如右上'upper right',百度plt.legeng即可 plt...
17、自动图例(Legend) legend()命令自动生成图例,并带有与MATLAB兼容的图例布局命令。 import numpy as np import matplotlib.pyplot as plt # Make some fake data. a = b = np.arange(0, 3, .02) c = np.exp(a) d = c[::-1] # Create plots with pre-defined labels. ...
plt.legend(['第一产业','第二产业','第三产业'])## 添加图例 ## 子图2 ax2 = p.add_subplot(2,1,2) plt.scatter(values[:,0],values[:,6], marker='o',c='r')## 绘制散点 plt.scatter(values[:,0],values[:,7], marker='D',c='b')## 绘制散点 ...
#先导入函数importmatplotlib.pyplotaspltimportnumpyasnp#设置中文可显示字体plt.rcParams["font.family"]="SimHei"#设置画布,添加子图fig=plt.figure(num=1,figsize=(8,6))ax=fig.add_subplot(111)#画条形图ax.bar(x=np.arange(1,8,1),height=app) ...
plt.legend() # 保存图表为图片文件 plt.savefig('product_sales_revenue.png') # 将图片插入到 Excel 中 import openpyxl from openpyxl.drawing.image import Image wb = openpyxl.load_workbook('product_totals.xlsx') ws = wb.active img = Image('product_sales_revenue.png') ...
plt.legend(numpoints=1) plt.xlim(0,1.8); 而且这些符号代码可以和线条、颜色代码一起使用,这会在折线图的基础上绘制出散点: plt.plot(x, y,'-ok'); plt.plot还有很多额外的关键字参数用来指定广泛的线条和点的属性: plt.plot(x, y,'-p', color='gray', ...