Note: The size of each wedge is determined by comparing the value with all the other values, by using this formula: The value divided by the sum of all values: x/sum(x)LabelsAdd labels to the pie chart with the labels parameter.
plt.show() 4、饼图(Pie Chart) 饼图(Pie Chart)是一种常用的图表类型,用于显示数据的相对比例。每个扇区的大小表示该类别的比例。饼图非常适合于展示部分与整体之间的关系。使用plt.pie()函数绘制饼图,常用参数如下, 使用代码:Python Matplotlib 常见图形绘制-CJavaPy 5、直方图(Histogram) 绘制直方图(Histogram)...
plt.show() 4、饼图(Pie Chart) 饼图(Pie Chart)是一种常用的图表类型,用于显示数据的相对比例。每个扇区的大小表示该类别的比例。饼图非常适合于展示部分与整体之间的关系。使用plt.pie()函数绘制饼图,常用参数如下, 使用代码:Python Matplotlib 常见图形绘制-CJavaPy 5、直方图(Histogram) 绘制直方图(Histogram)...
sizes=[30,20,25,15,10]labels=['A','B','C','D','E']explode=(0,0.1,0,0,0)# 只突出显示第二个扇形plt.pie(sizes,explode=explode,labels=labels,autopct='%1.1f%%')plt.title('How2matplotlib.com Pie Chart with Exploded Slice')plt.axis('equal')plt.show() Python Copy Output: explode...
8. 3D饼图(3D Pie Chart) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import matplotlib.pyplot as plt labels = ['A', 'B', 'C', 'D'] sizes = [15, 30, 45, 10] colors = ['red', 'blue', 'green', 'yellow'] explode = (0, 0.1, 0, 0) # 用于突出显示某个扇区 plt....
plt.show() 3.2 设置显示颜色,Method 1: frommatplotlibimportfont_managerasfmimportmatplotlibasmpl# Pie chart, where the slices will be ordered and plotted counter-clockwise:labels = s.index sizes = s.values explode = (0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)# only "explode" ...
from matplotlib import font_manager as fm import matplotlib as mpl # Pie chart, where the slices will be ordered and plotted counter-clockwise: labels = s.index sizes = s.values explode = (0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0) # only "explode" the 1st slice fig1, ax...
plot(kind='pie', subplots=True, figsize=(8, 8)) plt.title("Pie Chart of Vehicle Class - Bad") plt.ylabel("") plt.show() 图32 图32-2 33 树形图 (Treemap) 树形图类似于饼图,它可以更好地完成工作而不会误导每个组的贡献。 (『Python数据之道』注:需要安装 squarify 库) 代码语言:...
plt.show() 绘制柱状图 import matplotlib.pyplot as plt # 数据 labels = ['A', 'B', 'C', 'D'] values = [1, 2, 3, 4] # 创建柱状图 plt.bar(labels, values) plt.title('Bar Chart') plt.xlabel('Categories') plt.ylabel('Values') ...
s = pd.Series(values, index=shapes) from matplotlib import font_manager as fm import matplotlib as mpl # Pie chart, where the slices will be ordered and plotted counter-clockwisse: labels = s.index sizes = s.values explode = (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0...