[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ftcHsRUuCh_eu9Ib8HWE3mix-4x89-hmNTMXkroCdFww":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":27,"type":28},[],"2023-11-13 19:05:07",105563996,[8,9,10,11],"matplotlib","seaborn","bokeh","pyecharts",{"courseId":13,"courseImg":14,"courseName":15},"0b611f573df91eebfe936fc3f3550502","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F25b30343053994e8940089572d36015b.jpg","大数据可视化技术","下列哪个可视化库可以生成Echarts 图表?( )",[18,29,37,46,55,64,73,82,85,94],{"answer":19,"createTime":5,"id":20,"options":21,"question":26,"source":27,"type":28},[],105563989,[22,23,24,25],"pip install pandas","pip show pandas","pip uninstall pandas","install pandas","在jupyter notebook中安装pandas程序包的命令是( )","v1",0,{"answer":30,"createTime":5,"id":31,"options":32,"question":36,"source":27,"type":28},[],105563990,[33,34,35,8],"wordcloud","Numpy","jieba","对Text文本文件进行分词处理常用的第三方包是( )",{"answer":38,"createTime":5,"id":39,"options":40,"question":45,"source":27,"type":28},[],105563991,[41,42,43,44],"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,程序运行的效果为圆环图的是( )",{"answer":47,"createTime":5,"id":48,"options":49,"question":54,"source":27,"type":28},[],105563992,[50,51,52,53],"xlim()","grid ()","xticks()","axhline()","下列函数中,可以设置坐标轴刻度标签的是( )",{"answer":56,"createTime":5,"id":57,"options":58,"question":63,"source":27,"type":28},[],105563993,[59,60,61,62],"plt.axhline(y=1.5, ls='--', linewidth=1.5)","plt.axhline(y=1, ls='--', linewidth=1.5)","plt.axvline(x=1.5, ls='--', linewidth=1.5)","plt.axvline(x=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( )",{"answer":65,"createTime":5,"id":66,"options":67,"question":72,"source":27,"type":28},[],105563994,[68,69,70,71],"'k'","'#000000'","(0.0, 0.0, 0.0)","'b'","下列选项中,表示的颜色不是黑色的是( )",{"answer":74,"createTime":5,"id":75,"options":76,"question":81,"source":27,"type":28},[],105563995,[77,78,79,80],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F99f79eeace86123feb787f4d813e0998.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F590c017e90286b391e09b9d69db4e92e.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fdd453dfc0e51dd3e334cb54fe5243636.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F04c6972e18aa7adca2f5bc49be62eac7.png\">","请阅读下面一段程序: %matplotlib auto import matplotlib.pyplot as plt ax_one = plt.subplot(223) ax_one.plot([1, 2, 3, 4, 5]) plt.show() 运行程序,效果为( )",{"answer":83,"createTime":5,"id":6,"options":84,"question":16,"source":27,"type":28},[],[8,9,10,11],{"answer":86,"createTime":5,"id":87,"options":88,"question":93,"source":27,"type":28},[],105563997,[89,90,91,92],"twinx()","constrained_layout()","tight_layout()","GridSpec()","下列选项中,可以实现紧密布局的是( )",{"answer":95,"createTime":96,"id":97,"options":98,"question":103,"source":27,"type":28},[],"2023-11-13 19:05:08",105563998,[99,100,101,102],"Scatter","Map","Funnel","Sankey","下列选项中,可以创建漏斗图的是( )"]