plt.subplots函数生成子图网格,然后使用pie函数用饼图填充每个子图。该代码调整布局的间距,并显示饼图的可视化表示。 importmatplotlib.pyplotasplt# Example data for pie chartslabels1=['Category 1','Category 2','Category 3']sizes1=[30,40,30]labels2=[
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.sub...
ax=plt.subplots()# 绘制外圈ax.pie(sizes_outer,labels=labels_outer,radius=1,autopct='%1.1f%%',pctdistance=0.85)# 绘制内圈ax.pie(sizes_inner,labels=labels_inner,radius=0.7,autopct='%1.1f%%
import matplotlib.pyplot as plt import pandas as pd labels = ['吉祥物公仔','校服','文化摆件','实用工具','纪念日产品','其他'] y1 = [19.3,19.3,17.96,24.93,16.09,2.41] y2 = [32.97,12.03,12.67,20.43,21.2,0.71] y3= [11.32,13.21,18.87,24.53,30.19,1.89] fig,ax = plt.subplots(1,1,...
20,50]# 各部分大小labels=['Group A','Group B','Group C']plt.pie(sizes,labels=labels,...
import matplotlib.pyplot as plt# 数据labels = ['Label1', 'Label2', 'Label3', 'Label4']sizes = [15, 30, 45, 10]colors = ['gold', 'yellowgreen', 'lightcoral', 'lightskyblue']# 绘图fig1, ax1 = plt.subplots()ax1.pie(sizes, labels=labels, color...
image.chart import Chartfrom borb.pdf.canvas.layout.layout_element import Alignmentdefcreate_piechart(labels: typing.List[str], data: typing.List[float]):# Symetric figure to ensure equal aspect ratio fig1, ax1 = plt.subplots(figsize=(4, 4)) ax1.pie( data, explode=[for _ in ...
# Pie chart, where the slices will be ordered and plotted counter-clockwise: Players = 'Rohit', 'Virat', 'Shikhar', 'Yuvraj' Runs = [45, 30, 15, 10] explode = (0.1, 0, 0, 0) # it "explode" the 1st slice fig1, ax1 = plt.subplots() ...
plt.rcParams['font.family']=['Times New Roman']fig,ax=plt.subplots(1,1,figsize=(7,4.5),dpi=200)labels=[iforiinbar_01.columns[2:]]x=np.arange(len(labels))# the label locations width=0.35# the widthofthe bars label_font={'weight':'bold','size':14,'family':'simsun'}rects1=ax...
# left-每个柱x轴左边界,bottom-每个柱y轴下边界 → bottom扩展即可化为甘特图 Gantt Chart # align:决定整个bar图分布,默认left表示默认从左边界开始绘制,center会将图绘制在中间位置 # xerr/yerr :x/y方向error bar 5、面积图 fig,axes = plt.subplots(2,1,figsize = (8,6)) ...