Python 将3个不同For循环的结果显示到表中

我希望以表格格式并排显示所有三个列表，并显示与值关联的名称。我现在正在手动操作，需要一段时间才能完成所有20个文件。谢谢你的帮助

  maxpreandpost = [Pre1,Pre2,Pre3,Pre4,Pre5,Pre6,Pre7,Pre8,Pre9,Pre10,Post1,Post2,Post3,Post4,Post5,Post6,Post7,Post8,Post9,Post10]
    for i in maxpreandpost:
        height = max(i.Z)
        print (height)

165.387 160.214 159.118 186.685 163.744 160.717 184.026 171.25099999999995 175.73 156.512 150.339 131.528 148.52100000000004 126.738 136.389 148.334 129.855 153.599 144.595 159.3229999995

lenpreandpost = [Pre1,Pre2,Pre3,Pre4,Pre5,Pre6,Pre7,Pre8,Pre9,Pre10,Post1,Post2,Post3,Post4,Post5,Post6,Post7,Post8,Post9,Post10]
for i in lenpreandpost:
    duration = len(i.Z)
    print (duration)

690 543 292 271 293 147 209 355 230 293 395 256 349 255 335 255 231 243 315 267

2219.0546989150585 2337.434842606099 1857.1832474809803 1450.0472277998394 1512.6539831504758 1058.5635689541748 1653.517987682021 1854.670452561212 1861.8190476064021 1775.672511965326 1872.275393720069 1814.9932559772114 1852.3299779009246 1875.2281201398403 1867.1599096301313 1708.250531327712 1793.8521780715407 1862.7949271803914 1872.843665022548

---

1800.2239125453254

当然，将所有值附加到输出列表，然后将它们添加到数据帧：

import pandas as pd

heightmax = []
maxpreandpost = [Pre1,Pre2,Pre3,Pre4,Pre5,Pre6,Pre7,Pre8,Pre9,Pre10,Post1,Post2,Post3,Post4,Post5,Post6,Post7,Post8,Post9,Post10]
for i in maxpreandpost:
    height = max(i.Z)
    heightmax.append(height)

duration_pre_post = []
lenpreandpost = [Pre1,Pre2,Pre3,Pre4,Pre5,Pre6,Pre7,Pre8,Pre9,Pre10,Post1,Post2,Post3,Post4,Post5,Post6,Post7,Post8,Post9,Post10]
for i in lenpreandpost:
    duration = len(i.Z)
    duration_pre_post.append(duration)

dis_p1_p2 = []
dis = [Pre1,Pre2,Pre3,Pre4,Pre5,Pre6,Pre7,Pre8,Pre9,Pre10,Post1,Post2,Post3,Post4,Post5,Post6,Post7,Post8,Post9,Post10]
for i in dis:
    p1 = [max(i.X),max(i.Y)]
    p2 = [min(i.X),min(i.Y)]
    distance = math.sqrt(((p1[0]-p2[0])**2)+((p1[1]-p2[1])**2)) 
    dis_p1_p2.append(distance)

df = pd.DataFrame() # initialize empty dataframe

# Store each list as a column in the df.
df['HeightMax'] = heightmax
df['DurationPrePost'] = duration_pre_post
df['DistanceP1P2'] = dis_p1_p2

#if you want to write this out to a tabular file:

df.to_csv('./Desktop/myDf.csv', sep='\t', index=False)

其输出类似于：

  HeightMax    DurationPrePost    DistanceP1P2
0  165.387          690           2219.0546989150585
1  160.214          543           2337.434842606099
2  159.118          292           1857.1832474809803 
3  186.685          271           1450.0472277998394
4  163.744          293           1512.6539831504758
... #extends to end of lists

  HeightMax    DurationPrePost    DistanceP1P2
0  165.387          690           2219.0546989150585
1  160.214          543           2337.434842606099
2  159.118          292           1857.1832474809803 
3  186.685          271           1450.0472277998394
4  163.744          293           1512.6539831504758
... #extends to end of lists