[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$feM0aH_Ky31l_SVx2DcXFEE-q_Yn_teDdHXJViCBhLEg":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":71},[],"2023-10-23 09:45:08",101229907,[8,9,10,11],"Figure","Axes","Axis","Artist 对象",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},10,"89d9fe193c8ceac50cbb0b02500df127","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F526d7859c9c42788b7f4f0a1d953afdf.png","数据分析与可视化","a2746b0bbceb4f29bdbc7c1fd69c4cb7","使用matplotlib实现数据可视化--单元作业","Matplotlib 生成的图形主要由以下( )个部分构成",[21,32,41,50,59,68,72,81,90,99],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],101229900,[25,26,27,28],"matplotlib.pyplot.pie()","matplotlib.pyplot.bar()","matplotlib.pyplot.plot()","matplotlib.pyplot.scatter()","绘制散点图的函数是()","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],101229901,[36,37,38,39],"直方图的各矩形通常是连续排列,而条形图是分开排列","条形统计图中,横轴上的数据是孤立的;直方图中,横轴上的数据是连续的","条形统计图中,横轴上的数据是一个范围;直方图中,横轴上的数据是一个具体的数据","条形统计图使用条形的高度表示频数的大小;而直方图是用长方形的面积表示频数","以下关于直方图与条形图描述错误的是()",{"answer":42,"createTime":5,"id":43,"options":44,"question":49,"source":30,"type":31},[],101229902,[45,46,47,48],"将数据图存储成文件","记录并存储数据","刷新数据","显示所绘制的数据图","阅读下面代码: l import matplotlib.pyplot as plt2plt.plot([9,7,15,2,9]) 3plt.savefig( 'test' , dpi=600) 其中,savefig()函数的作用是什么",{"answer":51,"createTime":5,"id":52,"options":53,"question":58,"source":30,"type":31},[],101229905,[54,55,56,57],"饼图一般用于表示不同分类的占比情况","箱线图展示了分位数的位置","散点图无法反映特征间的统计关系","词云对于文本中出现频率较高的关键词予以视觉上的突出","以下说法错误的是( )",{"answer":60,"createTime":5,"id":61,"options":62,"question":67,"source":30,"type":31},[],101229906,[63,64,65,66],"plt.scatter(x,y)","plt.plot(x,y)","plt.legend( 'upper left')","plt.xlabel('散点图')","下列代码中用于设置当前图表的图例的是()",{"answer":69,"createTime":5,"id":6,"options":70,"question":19,"source":30,"type":71},[],[8,9,10,11],1,{"answer":73,"createTime":5,"id":74,"options":75,"question":80,"source":30,"type":71},[],101229908,[76,77,78,79],"plt.pie([0.1,0.5,0.2])","plt.pie([0.1,0.5,0.3,0.1])","plt.pie([0.1,0.2,0.3,0.2,0.1])","plt.pie([1,6,8,3])","下列饼图画法中能够占满的有()",{"answer":82,"createTime":5,"id":83,"options":84,"question":89,"source":30,"type":71},[],101229909,[85,86,87,88],"subplot(323)和subplot(3,2,3)是等价的","散点图包含的数据点越少,比较的效果就会越好","pyplot库绘图区域位于左上角的子图编号为0","Figure对象可以理解为一张空白的画布,用于容纳图表的各种组件","关于Matplotlib绘图,以下说法正确的是()",{"answer":91,"createTime":5,"id":92,"options":93,"question":98,"source":30,"type":71},[],101229910,[94,95,96,97],"from matplotlib.font_manager import FontProperties # 导人FontProperties font = FontProperties(fname="SimHei.ttf", size=14)#设置字体","通过 fontdict 字典参数来设置fontdict={"family": "KaiTi", "size": 15, "color": "r"}","改变全局的字体# matplotlib其实是不支持显示中文的 显示中文需要一行代码设置字体 mpl.rcParams['font.family'] = 'SimHei' plt.rcParams['axes.unicode_minus'] = False # 步骤二(解决坐标轴负数的负号显示问题)","改变全局的字体font = {'family' : 'SimHei', 'weight' : 'bold', 'size' : '16'} plt.rc('font', **font) # 步骤一(设置字体的更多属性) plt.rc('axes', unicode_minus=False) # 步骤二(解决坐标轴负数的负号显示问题)","使用matplotlib需要设置一些内容才能正确的显示中文,不然会出现一些报错,可以通过()方式来进行设置",{"answer":100,"createTime":5,"id":101,"options":102,"question":107,"source":30,"type":71},[],101229911,[103,104,105,106],"importmatplotlib.pyplotasplt,加载matplotlib.pyplot并取名为plt","X =np.arange (0,2*np.pi,0.01)为x轴区间","plt.plot (x, y),显示x轴、y轴","plt.show ()显示图像","matplotib模块是Python中最出色的绘图库,功能很完善.调用matplotib.pyplot时,坐标系可以根据数值范围自动生成.阅读下列程序代码. import numpy as np #加载numpy模块并取名为np import matplotlib.pyplot as plt x= np.arange(0,2*np.pi, 0.01) y = np.sin(x) plt.plot(x , y) plt.title('sin(x)') plt.xlabel('X') plt.ylabel('Y'") plt.show 下列选择正确的是()"]