[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f6mxXJoTPJh5tEiQ_AdDv0vEFkjHv0iDMPjwsu28FMyQ":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":16,"related":17,"source":28,"type":29},[],"2023-11-13 19:05:08",105563998,[8,9,10,11],"Scatter","Map","Funnel","Sankey",{"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","下列选项中,可以创建漏斗图的是( )",[18,30,39,48,57,66,75,84,92,101],{"answer":19,"createTime":20,"id":21,"options":22,"question":27,"source":28,"type":29},[],"2023-11-13 19:05:07",105563989,[23,24,25,26],"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":31,"createTime":20,"id":32,"options":33,"question":38,"source":28,"type":29},[],105563990,[34,35,36,37],"wordcloud","Numpy","jieba","matplotlib","对Text文本文件进行分词处理常用的第三方包是( )",{"answer":40,"createTime":20,"id":41,"options":42,"question":47,"source":28,"type":29},[],105563991,[43,44,45,46],"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":49,"createTime":20,"id":50,"options":51,"question":56,"source":28,"type":29},[],105563992,[52,53,54,55],"xlim()","grid ()","xticks()","axhline()","下列函数中,可以设置坐标轴刻度标签的是( )",{"answer":58,"createTime":20,"id":59,"options":60,"question":65,"source":28,"type":29},[],105563993,[61,62,63,64],"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":67,"createTime":20,"id":68,"options":69,"question":74,"source":28,"type":29},[],105563994,[70,71,72,73],"'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":76,"createTime":20,"id":77,"options":78,"question":83,"source":28,"type":29},[],105563995,[79,80,81,82],"\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":85,"createTime":20,"id":86,"options":87,"question":91,"source":28,"type":29},[],105563996,[37,88,89,90],"seaborn","bokeh","pyecharts","下列哪个可视化库可以生成Echarts 图表?( )",{"answer":93,"createTime":20,"id":94,"options":95,"question":100,"source":28,"type":29},[],105563997,[96,97,98,99],"twinx()","constrained_layout()","tight_layout()","GridSpec()","下列选项中,可以实现紧密布局的是( )",{"answer":102,"createTime":5,"id":6,"options":103,"question":16,"source":28,"type":29},[],[8,9,10,11]]