35,30,35]women_means=[25,32,34,20]x=np.arange(len(categories))width=0.35fig,ax=plt.subplots(figsize=(12,6))rects1=ax.bar(x-width/2,men_means,width,label='Men')rects2=ax.bar(x+width/2,women_means,width,label='Women')ax.set_ylabel('Scores')ax.set_title('Grouped Bar Chart - ...
(x-width/2,men_means,width,label='Men')rects2=ax.bar(x+width/2,women_means,width,label='Women')# Add some text for labels, title and custom x-axis tick labels, etc.ax.set_ylabel('Scores')ax.set_title('Scores by group and gender')ax.set_xticks(x)ax.set_xticklabels(labels)ax...
bar(x_pos, data1, width=0.4, align='center', label='Group 1') plt.bar(x_pos, data2, width=0.4, align='edge', label='Group 2') # 设置图表标题和标签 plt.title('Grouped Bar Chart') plt.xlabel('Groups') plt.ylabel('Values') # 设置x轴刻度标签 plt.xticks(x_pos, groups) # 添...
7,4]fig,ax=plt.subplots(figsize=(10,6))ax.bar(categories,values1,label='Group 1')ax.bar(categories,values2,bottom=values1,label='Group 2')ax.set_ylabel('Total Values')ax.set_title('Stacked Bar Chart')ax.legend()plt.tight_layout()plt.show()print("Learn more at how2matplotlib.com"...
The plt.barh() function is used to create a horizontal bar chart. Grouped Bar ChartThis example demonstrates how to create a grouped bar chart. grouped_bar_chart.py import matplotlib.pyplot as plt import numpy as np # Data categories = ['A', 'B', 'C', 'D'] values1 = [10, 20,...
(x - width/2, values1, width, label='Group 1') rects2 = ax.bar(x + width/2, values2, width, label='Group 2') # 添加标签和标题 ax.set_xlabel('Categories') ax.set_ylabel('Values') ax.set_title('Grouped Bar Chart') ax.set_xticks(x) ax.set_xticklabels(categories) ax....
2.Grouped bar chart with labels x = np.arange(len(labels)) # the label locations width = 0.35 # the width of the bars fig, ax = plt.subplots() rects1 = ax.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...
title("Scatterplot with line of best fit grouped by number of cylinders", fontsize=20) plt.show() 图3 针对每列绘制线性回归线 或者,可以在其每列中显示每个组的最佳拟合线。 可以通过在 sns.lmplot() 中设置 col=groupingcolumn 参数来实现,如下: 代码语言:javascript 代码运行次数:0 运行 AI代码解释...
柱状图(bar chart): 用长方形(柱子)的长度表示数值的统计图表,又称为条形图。柱状图常用来对比两个以上的数值,适用于较小的数据集。 Matplotlib创建柱状图的接口:bar(x, height, width, bottom, align, color) x: 柱子的x轴坐标 height: 柱子高度,y轴坐标 ...
(10,6))# 绘制两组柱状图rects1=ax.bar(x-width/2,group1,width,yerr=errors1,label='Group 1',capsize=5)rects2=ax.bar(x+width/2,group2,width,yerr=errors2,label='Group 2',capsize=5)# 设置图表标题和轴标签ax.set_title('Grouped Bar Chart with Error Bars - how2matplotlib.com',fontsize...