Matplotlib Pie Chart Documentation In this article, we have explored various types of pie charts using Matplotlib, including basic, customized, donut, and nested pie charts. AuthorMy name is Jan Bodnar, and I am a passionate programmer with extensive programming experience. I have been writing ...
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....
Add a shadow to the pie chart by setting the shadows parameter to True:Example Add a shadow: import matplotlib.pyplot as pltimport numpy as npy = np.array([35, 25, 25, 15])mylabels = ["Apples", "Bananas", "Cherries", "Dates"] myexplode = [0.2, 0, 0, 0]plt.pie(y, labels...
matplotlib.rcParams['font.sans-serif']='Microsoft Yahei'#改字体为微软雅黑,以便显示中文fig,ax=plt.subplots() animal={"锯齿动物":38,"蝙蝠类":21.8,"食虫类":8.2,"灵长类":8,"其他":6.9,"有袋类":6.5,"食肉类":5.6,"偶蹄类":5}#创建数据data=np.array([iforiinanimal.values()]).astype(f...
We are here to discuss the topic of creating pie charts using Python's Matplotlib library. In this article, we will provide a comprehensive guide on how to create a pie chart using Matplotlib, and offer some tips and tricks to help you make the most of this powerful visualization tool. ...
To plot a pie chart in Matplotlib, we can call thepie()function of the PyPlot orAxesinstance. The only mandatory argument is the data we'd like to plot, such as a feature from a dataset: importmatplotlib.pyplotasplt x = [15,25,25,30,5] ...
# library import matplotlib.pyplot as plt # create data: an array of values size_of_groups=[12,11,3,30] # Create a pieplot plt.pie(size_of_groups) plt.show() ⚠️ Mind the pie chart Pie chart is probably the most criticized chart type. Humans are pretty bad at reading angles,...
import matplotlib.pyplot as plt # Pie chart, where the slices will be ordered and plotted counter-clockwise: labels = 'Frogs', 'Hogs', 'Dogs', 'Logs' sizes = [15, 30, 45, 10] explode = (0, 0.1, 0, 0) # only "explode" the 2nd slice (i.e. 'Hogs') fig1, ax1 = plt.subp...
import matplotlib.pyplot as plt sizes = [25, 20, 30, 25] # Creating a shadowed pie chart plt.pie(sizes, labels=['Category A', 'Category B', 'Category C', 'Category D'], shadow=True) plt.title('Shadowed Pie Chart') plt.show() ...
{"A": city, "B": cat}) #count the numbers occurrence of each category in an A x B table df_count = df.pivot_table(index="B", columns="A", fill_value=0, aggfunc="size") #plot the pie chart using pandas convenience wrapper for matplotlib ax = df_count.plot.pie(subplots=True,...