选择题
1-10： a ? a ? a b a a b ? bc ? abd ? ? abcd
填空题
11、数组或列表
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12、大数据方面的科学计算、数据可视化模块
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13、while语句、for语句
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14、PyPDF2、NLTK 、Python-docx
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15、Python2、Python3
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16、#
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17、|
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18、read_csv()、read_table()
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19、对齐
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20、5
问答题
21、 size=steps)# 当元素为1时，direction_steps为1，# 当元素为0时，direction_steps 为-1direction_steps = np.where(draws > 0, 1, -1)# 使用cumsum()计算步数累计和distance = direction_steps.cumsum()# 使用max()计算向前走的最远距离distance.max()# 使用min()计算向 后走的最远距离distance.min()# 15米换算成步数steps = 15/0.5(np.abs(distance) >= steps).argmax()
22、 f = open("D:/python/data.csv","r",encoding="UTF-8")lines = f.readlines()lines.reverse()for line in lines: line=line.replace("\n"," ") lt = line.split(',') lt.reverse() ans = ';'.join(lt) print(ans.replace(" ",""))f.close()
23、 ? f=open("D:/python/score.csv")ls=[]for line in f: line = line.replace("\n","") ls.append(line.split(","))print(ls)ls[0].append('总分')for i in range(len(ls)-1): sum1 = 0 for j in range(len(ls[i+1])): if ls[i+1][j].isnumeric(): sum1 = sum1 + int(ls[i+1][j]) ls[i+1].append(str(sum1))print(ls)file_new = open("D:/python/newdata.csv","w")for line in ls: file_new.write(",".join(line)+"\n")f.close()file_new.close()
24、 "#Python数据分析\n", "##Python数据分析\n", "###Python数据分析\n", "Python数据分析 \n", "Python数据分析\n", "_Python数据分析_\n"
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