[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fYXEpY3SBJDWk9QLwjBX4sCEACFGXchSMUKqx7xwSLQ8":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":17,"related":18,"source":24,"type":41},[],"2023-06-17 20:10:56",68270868,[8,9],"正确","错误",{"count":11,"courseId":12,"courseImg":13,"courseName":14,"workId":15,"workName":16},9,"fd211794b2f995354c06a551f561d4ba","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F4cb775485ea22a161d1400d999b78ab1.jpg","Python程序开发","exam_94472378","14周02可视化课堂测试","任何类型的图表都可以添加数据标记.( )",[19,26,31,36,42,45,50,60,69],{"answer":20,"createTime":5,"id":21,"options":22,"question":23,"source":24,"type":25},[],68270864,[],"matplotlib中文本都是一个 类的对象","v1",2,{"answer":27,"createTime":5,"id":28,"options":29,"question":30,"source":24,"type":25},[],68270865,[],"matplotlib使用subplots()绘制多个子图时可以通过 参数控制是否共享x轴",{"answer":32,"createTime":5,"id":33,"options":34,"question":35,"source":24,"type":25},[],68270866,[],"在数据可视化中, 通常被用于编码数据的分类或定序属性",{"answer":37,"createTime":5,"id":38,"options":39,"question":40,"source":24,"type":41},[],68270867,[8,9],"坐标轴的刻度范围取决于数据的最大值和最小值.( )",3,{"answer":43,"createTime":5,"id":6,"options":44,"question":17,"source":24,"type":41},[],[8,9],{"answer":46,"createTime":5,"id":47,"options":48,"question":49,"source":24,"type":41},[],68270869,[8,9],"matplotlib中图例一直位于图表的右上方,它的位置是不可变的.( )",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":24,"type":59},[],68270870,[54,55,56,57],"星形","菱形","正三角形","正方形","import matplotlib.pyplot as plt plt.scatter([1, 2, 3], [3, 4, 5], s=10, marker='^') plt.show() 以上代码运行后,展示了一个带有( )标记的散点图",0,{"answer":61,"createTime":5,"id":62,"options":63,"question":68,"source":24,"type":59},[],68270871,[64,65,66,67],"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","将后绘制的柱形置于先绘制的柱形下方","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( )",{"answer":70,"createTime":5,"id":71,"options":72,"question":77,"source":24,"type":59},[],68270872,[73,74,75,76],"plt.axvline(x=1.5, ls='--', linewidth=1.5)","plt.axvline(x=1, ls='--', linewidth=1.5)","plt.axhline(y=1.5, ls='--', linewidth=1.5)","plt.axhline(y=1, ls='--', linewidth=1.5)","下列选项中,可以为图表添加一条值为1.5的水平参考线的是( )"]