bottom=bottom[:-1], label='Data Series 2') bottom = [bottom[i] + data_series3[i] for i in range(len(categories))] plt.bar(categories, data_series3, bottom=bottom[:-1], label='Data Series 3') # 添加图例和标题 plt.legend() plt.title('Stacked Bar Chart Example') # 显示图表 ...
Stacked Bar ChartThis example shows how to create a stacked bar chart. stacked_bar_chart.py import matplotlib.pyplot as plt # Data categories = ['A', 'B', 'C', 'D'] values1 = [10, 20, 15, 25] values2 = [15, 25, 20, 30] # Create stacked bars plt.bar(categories, values1...
bar3 = ax.bar(categories, variables3, bottom=[i+j for i, j in zip(variables1,variables2)], label='Variable 3') # 添加图例 ax.legend() # 设置标题和轴标签 ax.set_title('Stacked Chart') ax.set_xlabel('Categories') ax.set_ylabel('Variables') # 调整图表布局,防止注释遮挡图表内容 plt...
n_rows = len(data) index = np.arange(len(columns)) + 0.3 bar_width = 0.4 # Initialize the vertical-offset for the stacked bar chart. y_offset = np.zeros(len(columns)) # Plot bars and create text labels for the table cell_text = [] for row in range(n_rows): plt.bar(index,...
bar_width = 0.4 # Initialize the vertical-offset for the stacked bar chart. y_offset = np.array([0.0] * len(columns)) # Plot bars and create text labels for the table cell_text = [] for row in range(n_rows): plt.bar(index, data[row], bar_width, bottom=y_offset, color=colors...
参考:matplotlib bar chart legend Matplotlib是Python中最流行的数据可视化库之一,它提供了强大的工具来创建各种类型的图表,包括柱状图。在数据可视化中,柱状图是一种常用的图表类型,用于比较不同类别的数据。而图例则是帮助读者理解图表内容的重要元素。本文将详细介绍如何使用Matplotlib创建柱状图,并重点讲解如何添加和自定...
2. How can I create a stacked bar chart in Matplotlib? You can create a stacked bar chart by plotting multiple datasets using plt.bar() with the bottom= parameter for each subsequent dataset. 3. Can I create grouped bar charts in Matplotlib?
堆叠柱状图 (Stacked Bar Chart): 展示各部分在不同类别中的构成 (简要介绍, 可以在后续章节实践)。 面积图 (Area Chart): 类似于折线图,但填充线条与坐标轴之间的区域,强调数量随时间变化的累积 (fill_between() 基础介绍)。 关系型图表: (展示变量之间的关联和联系) 散点图 (Scatter Plot): 用于观察两...
matplotlib的demo演示讲解stacked_bar_chart 32 2021-11 5 matplotlib的demo演示讲解horizontal bar chart,水平柱状状图 33 2021-11 6 matplotlib的demo演示讲解broken barh,坏掉的水平柱状图 33 2021-11 7 matplotlib的demo演示讲解bar_label_horizontal 29 ...
plt.title('cjavapy Bar Chart Example') # 显示图例 plt.legend(loc='upper right', fontsize='small', title='Trigonometric Functions', frameon=True, shadow=True, ncol=1) # 使用 plt.draw() 显示画布 plt.draw() # 显示图表 plt.show() ...