第6章課后答案本章習(xí)題答案一、單項(xiàng)選擇題1-5DBBCA6-10DACCA二、填空題1.Figure2.plot3.title4.xlabel,ylabel5.Legend6.show7.subplots8.grid9.color10.savefig上機(jī)練習(xí)答案（1）importmatplotlib.pyplotaspltdata=[(2015,45.2,1.4,11.4),(2017,52.7,1.6,12.0),(2018,57.5,1.6,12.4),(2019,62.5,1.5,12.7),(2020,68.3,1.5,13.1),(2021,73.2,1.6,13.7)]years=[x[0]forxindata]zhiyeyishi=[x[1]forxindata]jianxiyishi=[x[2]forxindata]zhongyaoshi=[x[3]forxindata]plt.figure()plt.plot(years,zhiyeyishi,label='執(zhí)業(yè)醫(yī)師',marker='s',color='y')plt.plot(years,jianxiyishi,label='見習(xí)醫(yī)師',marker='d',color='b')plt.plot(years,zhongyaoshi,label='中藥師',marker='*',color='r')plt.xticks(years)plt.xlabel('年份')plt.ylabel('中醫(yī)藥人員數(shù)')plt.title('2015—2021年中醫(yī)藥人員數(shù)')plt.legend()plt.show()（2）#根據(jù)表格信息，選擇繪制內(nèi)蒙古地區(qū)三種中醫(yī)類醫(yī)院（中醫(yī)醫(yī)院、中西醫(yī)結(jié)合醫(yī)院、民族醫(yī)醫(yī)院）占比的餅狀圖。importmatplotlib.pyplotaspltex=(0,0.1,0)plt.pie([43.58,3.74,52.68],labels=['中醫(yī)醫(yī)院','中西醫(yī)結(jié)合醫(yī)院','民族醫(yī)醫(yī)院'],autopct='%1.1f%%',explode=ex)plt.axis('equal')plt.show()（3）importmatplotlib.pyplotaspltregion=['吉林','內(nèi)蒙古','遼寧','湖南','湖北','四川']hospital_counts=[23667,33160,34874,67229,51840,83988]plt.bar(region,hospital_counts,width=0.5)plt.title('2021年部分地區(qū)中醫(yī)類醫(yī)院床位數(shù)')plt.xlabel('地區(qū)')plt.ylabel('數(shù)量/(個)')plt.show()（4）importmatplotlib.pyplotaspltimportnumpyasnpimportpandasaspdimportseabornassnsyear=['2018年','2019年','2020年','2021年']Expenditure=['醫(yī)療衛(wèi)生服務(wù)支出','醫(yī)療保障支出','行政管理事務(wù)支出','人口與計劃生育事務(wù)支出']data=np.array([[6908.05,7795.57,1005.79,689.72],[7986.42,8459.16,883.77,687.61],[11415.83,8844.93,1021.15,660],[9564.18,9416.78,1048.13,646.97]])fig,ax=plt.subplots(figsize=(8,7))ax.set_xticks(np.arange(len(Expenditure)))ax.set_yticks(np.arange(len(year)))heat_map=sns.heatmap(data,annot=True,fmt='.2f',cmap='Blues',xticklabels=Expenditure,yticklabels=year)plt.title('政府衛(wèi)生支出（億元）',fontsize=15)plt.imshow(data)plt.tight_layout()plt.show()（5）importmatplotlib.pyplotaspltimportnumpyasnpimportpandasaspdimportseabornassnsplt.figure(figsize=(8,8))plt.subplot(2,2,1)data=[(2015,45.2,1.4,11.4),(2017,52.7,1.6,12.0),(2018,57.5,1.6,12.4),(2019,62.5,1.5,12.7),(2020,68.3,1.5,13.1),(2021,73.2,1.6,13.7)]years=[x[0]forxindata]zhiyeyishi=[x[1]forxindata]jianxiyishi=[x[2]forxindata]zhongyaoshi=[x[3]forxindata]plt.plot(years,zhiyeyishi,label='執(zhí)業(yè)醫(yī)師',marker='s',color='y')plt.plot(years,jianxiyishi,label='見習(xí)醫(yī)師',marker='d',color='b')plt.plot(years,zhongyaoshi,label='中藥師',marker='*',color='r')plt.xticks(years)plt.xlabel('年份')plt.ylabel('中醫(yī)藥人員數(shù)')plt.title('2015—2021年中醫(yī)藥人員數(shù)')plt.legend()plt.subplot(2,2,2)ex=(0,0.1,0)plt.pie([43.58,3.74,52.68],labels=['中醫(yī)醫(yī)院','中西醫(yī)結(jié)合醫(yī)院','民族醫(yī)醫(yī)院'],autopct='%1.1f%%',explode=ex)plt.axis('equal')plt.subplot(2,2,3)region=['吉林','內(nèi)蒙古','遼寧','湖南','湖北','四川']hospital_counts=[23667,33160,34874,67229,51840,83988]plt.bar(region,hospital_counts,width=0.5)plt.title('2021年部分地區(qū)中醫(yī)類醫(yī)院床位數(shù)')plt.xlabel('地區(qū)')plt.ylabel('數(shù)量/(個)')plt.subplot(2,2,4)year=['2018年','2019年','2020年','2021年']Expenditure=['醫(yī)療衛(wèi)生服務(wù)支出','醫(yī)療保障支出','行政管理事務(wù)支出','人口與計劃生育事務(wù)支出']data=np.array([[6908.05,7795.57,1005.79,689.72],[7986.42,8459.16,883.77,687.61],[11415.83,8844.93,1021.15,660],[9564.18,9416.78,1048.13,646.97]])ax.set_xticks(np.arange(len(Expenditure)))ax.set_yticks(np.arange(len(year)))h