[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fnjN4K2lQmWkQXHI5GoJWt97UyRt-OF31u9H5BIMSAEw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-11-04 07:55:30",228470513,[8,9,10,11],"将后绘制的柱形置于先绘制的柱形下方","将后绘制的柱形置于先绘制的柱形上方","将后绘制的柱形置于先绘制的柱形左方","将后绘制的柱形置于先绘制的柱形右方",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},40,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","work_46075642","第1~3章课后作业","请阅读下面一段代码: plt.bar(x, y1, tick_label=["A", "B", "C", "D"]) plt.bar(x, y2, bottom=y1, tick_label=["A", "B", "C", "D"]) 以上代码中bar()函数的bottom参数的作用是( )",[21,32,41,50,59,68,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],228470508,[25,26,27,28],"数据可视化可以简单地理解为将不易描述的事物形成可感知画面的过程","数据可视化的目的是准确地、高效地、全面地传递信息","数据表格是数据可视化最基础的应用","数据可视化对后期数据挖掘具有深远的影响","下列选项中,关于数据可视化描述错误的是()","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],228470509,[36,37,38,39],"柱形图可以反映数据增减的趋势","条形图是横置的直方图","饼图用于显示数据中各项大小与各项总和的比例","雷达图是一种可以展示多变量关系的图表","关于常见图表的说法中,下列描述正确的是( )",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],228470510,[45,46,47,48],"折线图","柱形图","散点图","气泡图","下列图表中,可以反映3个变量之间关系的是( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],228470511,[54,55,56,57],"plot()","figure()","show()","subplot()","在 matplotlib 中,用于创建一个画布的函数是()",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],228470512,[63,64,65,66],"width","height","tick_label","align","当pyplot调用barh()函数绘图时,可以通过哪个参数设置图表的刻度标签?()",{"answer":69,"createTime":5,"id":6,"options":70,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],228470514,[75,76,77,78],"箱形图中异常值对应的符号默认为星号","箱形图只能垂直摆放,无法水平摆放","箱形图默认显示箱体","箱形图默认不会显示异常值","关于使用boxplot()函数绘制的箱形图,下列描述正确的是( )",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],228470515,[84,85,86,87],"bar()","barh()","hist()","polar()","下列函数中,用于在当前画布上绘制雷达图的函数是( )",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],228470516,[93,94,95,96],"import numpy as np import matplotlib.pyplot as plt data = np.array([20, 50, 10, 15, 30, 55]) pie_labels = np.array(['A', 'B', 'C', 'D', 'E', 'F']) plt.pie(data, labels=pie_labels) plt.show()","import numpy as np import matplotlib.pyplot as plt data = np.array([20, 50, 10, 15, 30, 55]) pie_labels = np.array(['A', 'B', 'C', 'D', 'E', 'F']) plt.pie(data, radius=1.5, labels=pie_labels) plt.show()","import numpy as np import matplotlib.pyplot as plt data = np.array([20, 50, 10, 15, 30, 55]) pie_labels = np.array(['A', 'B', 'C', 'D', 'E', 'F']) plt.pie(data, radius=1.5, explode=[0, 0.2, 0, 0, 0, 0],labels=pie_labels) plt.show()","import numpy as np import matplotlib.pyplot as plt data = np.array([20, 50, 10, 15, 30, 55]) pie_labels = np.array(['A', 'B', 'C', 'D', 'E', 'F']) plt.pie(data, radius=1.5, wedgeprops={'width': 0.6},labels=pie_labels) plt.show()","下列选项中,哪个代码运行的效果为圆环图?( )",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],228470517,[102,103,104,105],"Matplotlib","Seaborn","Bokeh","pyecharts","下列选项中,哪个可视化库可以创建ECharts图表?( )"]