In the bar charts, we often need to add labels to visualize the data. ADVERTISEMENT This article will look at the various ways to add value labels on a Matplotlib bar chart. Add Value Labels on Matplotlib Bar Chart Using pyplot.text() Method To add value labels on a Matplotlib bar chart...
import numpy as np import matplotlib.pyplot as plt labels = ['G1', 'G2', 'G3', 'G4...
plot(sizes=sizes, label=labels, color=colors, alpha=.8) # Decorate plt.title('Treemap of Vechile Class') plt.axis('off') plt.show() 图33 34 条形图 (Bar Chart) 条形图是基于计数或任何给定指标可视化项目的经典方式。 在下面的图表中,我为每个项目使用了不同的颜色,但您通常可能希望为所有...
8))scatter=plt.scatter(x,y,c=colors,s=sizes,alpha=0.5,marker='o')plt.colorbar(scatter)plt.title('Scatter Plot with Custom Markers - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.show()
ax.spines['left'].set_position(('data',0)) 1. 2. 3. 4. 运行结果: Legend图例 给图做图例,只需要在plt.plot()加上label参数即可,然后执行plt.legend()即可 x=np.linspace(-2,2,50) y1=2*x+1 y2=x**2 plt.plot(x,y2,label='up') ...
# lets add axes using add_axes() method# create a sample datay =x1 =x2 =# create the figurefig = plt.figure()# 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'),...
bar(x - width/2, men_means, width, label='Men') #第一组柱状图,错开半个宽度以兼容另一根柱,第一个参数为x坐标,第二个为y坐标,第三个柱子宽度 rects2 = ax.bar(x + width/2, women_means, width, label='Women') #第二组柱状图 # Add some text for labels, title and custom x-axis ...
plt.pie(y, labels = x, labeldistance =1.1, startangle =90, counterclock =False) plt.subplot(2,2,2)# 参数width用于设置柱子的宽度,默认值为0.8。如果设置为1,则各个柱子会紧密相连;如果设置为大于1的数,则各个柱子会相互交叠plt.bar(x, y, width =0.5, color ='r') ...
ax2 = p.add_subplot(2,2,2) plt.bar(range(3),values[-1,3:6],width = 0.5)## 绘制散点图 plt.xlabel('产业')## 添加横轴标签 plt.ylabel('生产总值(亿元)')## 添加y轴名称 plt.xticks(range(3),label1) plt.title('2017年第一季度国民生产总值产业构成分布直方图') ...
cm.Spectral(i/float(len(labels))) for i in range(len(labels))] # Draw Plotplt.figure(figsize=(12,8), dpi= 80)squarify.plot(sizes=sizes, label=labels, color=colors, alpha=.8) # Decorateplt.title('Treemap of Vechile Class')plt.axis('off')plt.show() 图33 34 条形图 (Bar Chart...