DataFrame打印设置

作者

本文主要记录对Pandas DataFrame进行打印时的一些实例。以从BaoStock获取的sh.600000浦发银行2000年前的日线数据为例，共有36行（不含表头）*17列数据完整数据如下表所示：

date open high low close preclose volume amount adjustflag turn tradestatus pctChg peTTM pbMRQ psTTM pcfNcfTTM isST
1999-11-10 2.7232630000 2.7509572000 2.4924780000 2.5617135000 0.9231400000 174085055 4859102435.0000 2 54.401580 1 177.500000 77.815386 17.418388 22.359317 0.000000 0
1999-11-11 2.5460201200 2.6198713200 2.5414044200 2.5580209400 2.5617135000 29403491 821582199.0000 2 9.188591 1 -0.144147 77.703220 17.393280 22.327087 0.000000 0
1999-11-12 2.5718680400 2.6124862000 2.5635597800 2.5894077000 2.5580209400 15007963 421591623.0000 2 4.689988 1 1.226995 78.656634 17.606695 22.601039 0.000000 0
1999-11-15 2.6032548000 2.6078705000 2.5570978000 2.5617135000 2.5894077000 11921071 332952812.0000 2 3.725335 1 -1.069516 77.815386 17.418388 22.359317 0.000000 0
1999-11-16 2.5737143200 2.5820225800 2.4444747200 2.4509367000 2.5617135000 23223120 628908296.0000 2 7.257225 1 -4.324327 74.450397 16.665160 21.392428 0.000000 0
1999-11-17 2.4463210000 2.5090945200 2.4343201800 2.5090945200 2.4509367000 10052566 268995055.0000 2 3.141427 1 2.372885 76.217016 17.060605 21.900045 0.000000 0
1999-11-18 2.5109408000 2.5460201200 2.4721689200 2.4943242800 2.5090945200 8446529 229577879.0000 2 2.639540 1 -0.588668 75.768351 16.960175 21.771126 0.000000 0
1999-11-19 2.5386350000 2.5414044200 2.4740152000 2.4814003200 2.4943242800 5374994 145887121.0000 2 1.679686 1 -0.518139 75.375769 16.872298 21.658322 0.000000 0
1999-11-22 2.4814003200 2.4878623000 2.4278582000 2.4417053000 2.4814003200 5535421 147086153.0000 2 1.729819 1 -1.599697 74.169981 16.602391 21.311854 0.000000 0
1999-11-23 2.4417053000 2.4509367000 2.4093954000 2.4417053000 2.4417053000 3843966 101224493.0000 2 1.201239 1 0.000000 74.169981 16.602391 21.311854 0.000000 0
1999-11-24 2.4407821600 2.4509367000 2.4010871400 2.4398590200 2.4417053000 4098001 107344461.0000 2 1.280625 1 -0.075616 74.113898 16.589838 21.295739 0.000000 0
1999-11-25 2.4278582000 2.4610912400 2.4020102800 2.4370896000 2.4398590200 5725292 150528185.0000 2 1.789154 1 -0.113510 74.029773 16.571007 21.271567 0.000000 0
1999-11-26 2.4398590200 2.4610912400 2.4140111000 2.4417053000 2.4370896000 2282685 60508935.0000 2 0.713339 1 0.189398 74.169981 16.602391 21.311854 0.000000 0
1999-11-29 2.4417053000 2.4767846200 2.4204730800 2.4306276200 2.4417053000 2681243 71099577.0000 2 0.837888 1 -0.453689 73.833482 16.527069 21.215165 0.000000 0
1999-11-30 2.4278582000 2.4463210000 2.4103185400 2.4370896000 2.4306276200 2371355 62335742.0000 2 0.741048 1 0.265855 74.029773 16.571007 21.271567 0.000000 0
1999-12-01 2.4287813400 2.4832466000 2.4195499400 2.4555524000 2.4370896000 2865195 76287992.0000 2 0.895373 1 0.757579 74.590605 16.696545 21.432715 0.000000 0
1999-12-02 2.4481672800 2.4666300800 2.4204730800 2.4241656400 2.4555524000 1938487 51110241.0000 2 0.605777 1 -1.278196 73.637191 16.483130 21.158763 0.000000 0
1999-12-03 2.4232425000 2.4601681000 2.4186268000 2.4333970400 2.4241656400 2552574 67291877.0000 2 0.797679 1 0.380809 73.917607 16.545899 21.239337 0.000000 0
1999-12-06 2.4278582000 2.4324739000 2.3632384000 2.3687772400 2.4333970400 6983999 180516074.0000 2 2.182500 1 -2.655541 71.954696 16.106517 20.675318 0.000000 0
1999-12-07 2.3632384000 2.3863169000 2.3540070000 2.3632384000 2.3687772400 3955769 101467905.0000 2 1.236178 1 -0.233825 71.786446 16.068855 20.626974 0.000000 0
1999-12-08 2.3632384000 2.3780086400 2.3540070000 2.3567764200 2.3632384000 2236538 57214358.0000 2 0.698918 1 -0.273436 71.590155 16.024917 20.570572 0.000000 0
1999-12-09 2.3540070000 2.3586227000 2.3355442000 2.3410830400 2.3567764200 2564635 65136972.0000 2 0.801448 1 -0.665883 71.113449 15.918210 20.433596 0.000000 0
1999-12-10 2.3410830400 2.4093954000 2.3281590800 2.3973945800 2.3410830400 3553913 91041273.0000 2 1.110598 1 2.405358 72.823985 16.301100 20.925098 0.000000 0
1999-12-13 2.3983177200 2.4417053000 2.3632384000 2.3927788800 2.3973945800 7058409 184655963.0000 2 2.205753 1 -0.192527 72.683777 16.269716 20.884811 0.000000 0
1999-12-14 2.3724698000 2.4001640000 2.3724698000 2.4001640000 2.3927788800 1618462 41845145.0000 2 0.505769 1 0.308642 72.908110 16.319931 20.949270 0.000000 0
1999-12-15 2.4001640000 2.4832466000 2.3909326000 2.4417053000 2.4001640000 6797886 180407899.0000 2 2.124339 1 1.730772 74.169981 16.602391 21.311854 0.000000 0
1999-12-16 2.4463210000 2.4463210000 2.3955483000 2.4001640000 2.4417053000 3616200 94601476.0000 2 1.130062 1 -1.701326 72.908110 16.319931 20.949270 0.000000 0
1999-12-17 2.4001640000 2.4121648200 2.3549301400 2.3613921200 2.4001640000 3565329 91807404.0000 2 1.114165 1 -1.615385 71.730363 16.056301 20.610859 0.000000 0
1999-12-21 2.3493913000 2.3586227000 2.3207739600 2.3300053600 2.3613921200 4215311 106523995.0000 2 1.317285 1 -1.329164 70.776950 15.842887 20.336907 0.000000 0
1999-12-22 2.3300053600 2.3401599000 2.3124657000 2.3216971000 2.3300053600 3083548 77614086.0000 2 0.963609 1 -0.356577 70.524575 15.786395 20.264390 0.000000 0
1999-12-23 2.3263128000 2.3355442000 2.2801558000 2.2875409200 2.3216971000 4161561 103557903.0000 2 1.300488 1 -1.471169 69.487037 15.554150 19.966266 0.000000 0
1999-12-24 2.2709244000 2.3143119800 2.2700012600 2.2847715000 2.2875409200 2832485 70142724.0000 2 0.885152 1 -0.121068 69.402912 15.535319 19.942094 0.000000 0
1999-12-27 2.2847715000 2.3078500000 2.2616930000 2.2690781200 2.2847715000 2233778 55170691.0000 2 0.698056 1 -0.686869 68.926205 15.428612 19.805118 0.000000 0
1999-12-28 2.2653855600 2.3152351200 2.2616930000 2.2709244000 2.2690781200 3176686 78430313.0000 2 0.992714 1 0.081369 68.982288 15.441166 19.821232 0.000000 0
1999-12-29 2.2810789400 2.3050805800 2.2681549800 2.2764632400 2.2709244000 2284237 56436027.0000 2 0.713824 1 0.243900 69.150538 15.478827 19.869577 0.000000 0
1999-12-30 2.2986186000 2.3069268600 2.2755401000 2.2847715000 2.2764632400 2333169 57888237.0000 2 0.729115 1 0.364964 69.402912 15.535319 19.942094 0.000000 0

默认打印结果

我们将数据，保存到df中，直接打印，结果如下：

print(df)

          date      open      high  ...      psTTM  pcfNcfTTM  isST
0   1999-11-10  2.723263  2.750957  ...  22.359317        0.0     0
1   1999-11-11  2.546020  2.619871  ...  22.327087        0.0     0
2   1999-11-12  2.571868  2.612486  ...  22.601039        0.0     0
3   1999-11-15  2.603255  2.607871  ...  22.359317        0.0     0
4   1999-11-16  2.573714  2.582023  ...  21.392428        0.0     0
5   1999-11-17  2.446321  2.509095  ...  21.900045        0.0     0
6   1999-11-18  2.510941  2.546020  ...  21.771126        0.0     0
7   1999-11-19  2.538635  2.541404  ...  21.658322        0.0     0
8   1999-11-22  2.481400  2.487862  ...  21.311854        0.0     0
9   1999-11-23  2.441705  2.450937  ...  21.311854        0.0     0
10  1999-11-24  2.440782  2.450937  ...  21.295739        0.0     0
11  1999-11-25  2.427858  2.461091  ...  21.271567        0.0     0
12  1999-11-26  2.439859  2.461091  ...  21.311854        0.0     0
13  1999-11-29  2.441705  2.476785  ...  21.215165        0.0     0
14  1999-11-30  2.427858  2.446321  ...  21.271567        0.0     0
15  1999-12-01  2.428781  2.483247  ...  21.432715        0.0     0
16  1999-12-02  2.448167  2.466630  ...  21.158763        0.0     0
17  1999-12-03  2.423243  2.460168  ...  21.239337        0.0     0
18  1999-12-06  2.427858  2.432474  ...  20.675318        0.0     0
19  1999-12-07  2.363238  2.386317  ...  20.626974        0.0     0
20  1999-12-08  2.363238  2.378009  ...  20.570572        0.0     0
21  1999-12-09  2.354007  2.358623  ...  20.433596        0.0     0
22  1999-12-10  2.341083  2.409395  ...  20.925098        0.0     0
23  1999-12-13  2.398318  2.441705  ...  20.884811        0.0     0
24  1999-12-14  2.372470  2.400164  ...  20.949270        0.0     0
25  1999-12-15  2.400164  2.483247  ...  21.311854        0.0     0
26  1999-12-16  2.446321  2.446321  ...  20.949270        0.0     0
27  1999-12-17  2.400164  2.412165  ...  20.610859        0.0     0
28  1999-12-21  2.349391  2.358623  ...  20.336907        0.0     0
29  1999-12-22  2.330005  2.340160  ...  20.264390        0.0     0
30  1999-12-23  2.326313  2.335544  ...  19.966266        0.0     0
31  1999-12-24  2.270924  2.314312  ...  19.942094        0.0     0
32  1999-12-27  2.284772  2.307850  ...  19.805118        0.0     0
33  1999-12-28  2.265386  2.315235  ...  19.821232        0.0     0
34  1999-12-29  2.281079  2.305081  ...  19.869577        0.0     0
35  1999-12-30  2.298619  2.306927  ...  19.942094        0.0     0
[36 rows x 17 columns]

这里就打印显示了所有行的前3列及后3列数据。如果需要打印的行数过多，则只会显示前5行及后5行的数据，例如当我们打印2020年前sh.600000的所有日线数据时，结果如下：

            date           open           high  ...      psTTM  pcfNcfTTM isST
0     1999-11-10   2.7232630000   2.7509572000  ...  22.359317   0.000000    0
1     1999-11-11   2.5460201200   2.6198713200  ...  22.327087   0.000000    0
2     1999-11-12   2.5718680400   2.6124862000  ...  22.601039   0.000000    0
3     1999-11-15   2.6032548000   2.6078705000  ...  22.359317   0.000000    0
4     1999-11-16   2.5737143200   2.5820225800  ...  21.392428   0.000000    0
...          ...            ...            ...  ...        ...        ...  ...
4877  2019-12-25  11.0953874200  11.0953874200  ...   1.880224  -5.959912    0
4878  2019-12-26  11.0683034800  11.1224713600  ...   1.887905  -5.984258    0
4879  2019-12-27  11.0592755000  11.2217791400  ...   1.892513  -5.998866    0
4880  2019-12-30  11.0773314600  11.1585832800  ...   1.895585  -6.008604    0
4881  2019-12-31  11.1224713600  11.1766392400  ...   1.900194  -6.023212    0

[4882 rows x 17 columns]

打印指定的行

可以head函数选择DataFrame的前n行，n默认为5，然后进行打印：

print(df.head())

输出结果为：

         date      open      high  ...      psTTM  pcfNcfTTM  isST
0  1999-11-10  2.723263  2.750957  ...  22.359317        0.0     0
1  1999-11-11  2.546020  2.619871  ...  22.327087        0.0     0
2  1999-11-12  2.571868  2.612486  ...  22.601039        0.0     0
3  1999-11-15  2.603255  2.607871  ...  22.359317        0.0     0
4  1999-11-16  2.573714  2.582023  ...  21.392428        0.0     0

[5 rows x 17 columns]

显式设置n的值：

print(df.head(n=2))

输出结果为：

         date      open      high  ...      psTTM  pcfNcfTTM  isST
0  1999-11-10  2.723263  2.750957  ...  22.359317        0.0     0
1  1999-11-11  2.546020  2.619871  ...  22.327087        0.0     0

[2 rows x 17 columns]

同样，可以使用tail函数，选择后n行进行打印：

print(df.tail())

输出结果为：

          date      open      high  ...      psTTM  pcfNcfTTM  isST
31  1999-12-24  2.270924  2.314312  ...  19.942094        0.0     0
32  1999-12-27  2.284772  2.307850  ...  19.805118        0.0     0
33  1999-12-28  2.265386  2.315235  ...  19.821232        0.0     0
34  1999-12-29  2.281079  2.305081  ...  19.869577        0.0     0
35  1999-12-30  2.298619  2.306927  ...  19.942094        0.0     0

[5 rows x 17 columns]

也可以使用iloc选择指定的行，进行打印，例如选择第2到4行：

print(df.iloc[2:5])

输出结果为：

         date      open      high  ...      psTTM  pcfNcfTTM  isST
2  1999-11-12  2.571868  2.612486  ...  22.601039        0.0     0
3  1999-11-15  2.603255  2.607871  ...  22.359317        0.0     0
4  1999-11-16  2.573714  2.582023  ...  21.392428        0.0     0

[3 rows x 17 columns]

再如选择倒数第2行打印：

print(df.iloc[-2:-1])

输出结果为：

          date      open      high  ...      psTTM  pcfNcfTTM  isST
34  1999-12-29  2.281079  2.305081  ...  19.869577        0.0     0

[1 rows x 17 columns]

打印指定的列

可以通过iloc打印指定的列，例如打印前两列：

print(df.iloc[:, :2])

输出结果为：

          date      open
0   1999-11-10  2.723263
1   1999-11-11  2.546020
2   1999-11-12  2.571868
3   1999-11-15  2.603255
4   1999-11-16  2.573714
5   1999-11-17  2.446321
6   1999-11-18  2.510941
7   1999-11-19  2.538635
8   1999-11-22  2.481400
9   1999-11-23  2.441705
10  1999-11-24  2.440782
11  1999-11-25  2.427858
12  1999-11-26  2.439859
13  1999-11-29  2.441705
14  1999-11-30  2.427858
15  1999-12-01  2.428781
16  1999-12-02  2.448167
17  1999-12-03  2.423243
18  1999-12-06  2.427858
19  1999-12-07  2.363238
20  1999-12-08  2.363238
21  1999-12-09  2.354007
22  1999-12-10  2.341083
23  1999-12-13  2.398318
24  1999-12-14  2.372470
25  1999-12-15  2.400164
26  1999-12-16  2.446321
27  1999-12-17  2.400164
28  1999-12-21  2.349391
29  1999-12-22  2.330005
30  1999-12-23  2.326313
31  1999-12-24  2.270924
32  1999-12-27  2.284772
33  1999-12-28  2.265386
34  1999-12-29  2.281079
35  1999-12-30  2.298619

也可以使用loc函数或者直接用列名组合，按指定的列名打印：

    print(df.loc[:, ['date', 'close']])
    print(df[['date', 'close']])

二者的输出结果均为：

          date     close
0   1999-11-10  2.561714
1   1999-11-11  2.558021
2   1999-11-12  2.589408
3   1999-11-15  2.561714
4   1999-11-16  2.450937
5   1999-11-17  2.509095
6   1999-11-18  2.494324
7   1999-11-19  2.481400
8   1999-11-22  2.441705
9   1999-11-23  2.441705
10  1999-11-24  2.439859
11  1999-11-25  2.437090
12  1999-11-26  2.441705
13  1999-11-29  2.430628
14  1999-11-30  2.437090
15  1999-12-01  2.455552
16  1999-12-02  2.424166
17  1999-12-03  2.433397
18  1999-12-06  2.368777
19  1999-12-07  2.363238
20  1999-12-08  2.356776
21  1999-12-09  2.341083
22  1999-12-10  2.397395
23  1999-12-13  2.392779
24  1999-12-14  2.400164
25  1999-12-15  2.441705
26  1999-12-16  2.400164
27  1999-12-17  2.361392
28  1999-12-21  2.330005
29  1999-12-22  2.321697
30  1999-12-23  2.287541
31  1999-12-24  2.284772
32  1999-12-27  2.269078
33  1999-12-28  2.270924
34  1999-12-29  2.276463
35  1999-12-30  2.284772

全部打印

如果想打印DataFrame的全部内容，则需要以下设置（也可以单独设置打印所有行或者列）：

    pd.set_option('display.max_columns', None)
    pd.set_option('display.max_rows', None)

输出结果如下：

          date      open      high       low     close  preclose     volume  \
0   1999-11-10  2.723263  2.750957  2.492478  2.561714  0.923140  174085055   
1   1999-11-11  2.546020  2.619871  2.541404  2.558021  2.561714   29403491   
2   1999-11-12  2.571868  2.612486  2.563560  2.589408  2.558021   15007963   
3   1999-11-15  2.603255  2.607871  2.557098  2.561714  2.589408   11921071   
4   1999-11-16  2.573714  2.582023  2.444475  2.450937  2.561714   23223120   
5   1999-11-17  2.446321  2.509095  2.434320  2.509095  2.450937   10052566   
6   1999-11-18  2.510941  2.546020  2.472169  2.494324  2.509095    8446529   
7   1999-11-19  2.538635  2.541404  2.474015  2.481400  2.494324    5374994   
8   1999-11-22  2.481400  2.487862  2.427858  2.441705  2.481400    5535421   
9   1999-11-23  2.441705  2.450937  2.409395  2.441705  2.441705    3843966   
10  1999-11-24  2.440782  2.450937  2.401087  2.439859  2.441705    4098001   
11  1999-11-25  2.427858  2.461091  2.402010  2.437090  2.439859    5725292   
12  1999-11-26  2.439859  2.461091  2.414011  2.441705  2.437090    2282685   
13  1999-11-29  2.441705  2.476785  2.420473  2.430628  2.441705    2681243   
14  1999-11-30  2.427858  2.446321  2.410319  2.437090  2.430628    2371355   
15  1999-12-01  2.428781  2.483247  2.419550  2.455552  2.437090    2865195   
16  1999-12-02  2.448167  2.466630  2.420473  2.424166  2.455552    1938487   
17  1999-12-03  2.423243  2.460168  2.418627  2.433397  2.424166    2552574   
18  1999-12-06  2.427858  2.432474  2.363238  2.368777  2.433397    6983999   
19  1999-12-07  2.363238  2.386317  2.354007  2.363238  2.368777    3955769   
20  1999-12-08  2.363238  2.378009  2.354007  2.356776  2.363238    2236538   
21  1999-12-09  2.354007  2.358623  2.335544  2.341083  2.356776    2564635   
22  1999-12-10  2.341083  2.409395  2.328159  2.397395  2.341083    3553913   
23  1999-12-13  2.398318  2.441705  2.363238  2.392779  2.397395    7058409   
24  1999-12-14  2.372470  2.400164  2.372470  2.400164  2.392779    1618462   
25  1999-12-15  2.400164  2.483247  2.390933  2.441705  2.400164    6797886   
26  1999-12-16  2.446321  2.446321  2.395548  2.400164  2.441705    3616200   
27  1999-12-17  2.400164  2.412165  2.354930  2.361392  2.400164    3565329   
28  1999-12-21  2.349391  2.358623  2.320774  2.330005  2.361392    4215311   
29  1999-12-22  2.330005  2.340160  2.312466  2.321697  2.330005    3083548   
30  1999-12-23  2.326313  2.335544  2.280156  2.287541  2.321697    4161561   
31  1999-12-24  2.270924  2.314312  2.270001  2.284772  2.287541    2832485   
32  1999-12-27  2.284772  2.307850  2.261693  2.269078  2.284772    2233778   
33  1999-12-28  2.265386  2.315235  2.261693  2.270924  2.269078    3176686   
34  1999-12-29  2.281079  2.305081  2.268155  2.276463  2.270924    2284237   
35  1999-12-30  2.298619  2.306927  2.275540  2.284772  2.276463    2333169   

          amount  adjustflag       turn  tradestatus      pctChg      peTTM  \
0   4.859102e+09           2  54.401580            1  177.500000  77.815386   
1   8.215822e+08           2   9.188591            1   -0.144147  77.703220   
2   4.215916e+08           2   4.689988            1    1.226995  78.656634   
3   3.329528e+08           2   3.725335            1   -1.069516  77.815386   
4   6.289083e+08           2   7.257225            1   -4.324327  74.450397   
5   2.689951e+08           2   3.141427            1    2.372885  76.217016   
6   2.295779e+08           2   2.639540            1   -0.588668  75.768351   
7   1.458871e+08           2   1.679686            1   -0.518139  75.375769   
8   1.470862e+08           2   1.729819            1   -1.599697  74.169981   
9   1.012245e+08           2   1.201239            1    0.000000  74.169981   
10  1.073445e+08           2   1.280625            1   -0.075616  74.113898   
11  1.505282e+08           2   1.789154            1   -0.113510  74.029773   
12  6.050894e+07           2   0.713339            1    0.189398  74.169981   
13  7.109958e+07           2   0.837888            1   -0.453689  73.833482   
14  6.233574e+07           2   0.741048            1    0.265855  74.029773   
15  7.628799e+07           2   0.895373            1    0.757579  74.590605   
16  5.111024e+07           2   0.605777            1   -1.278196  73.637191   
17  6.729188e+07           2   0.797679            1    0.380809  73.917607   
18  1.805161e+08           2   2.182500            1   -2.655541  71.954696   
19  1.014679e+08           2   1.236178            1   -0.233825  71.786446   
20  5.721436e+07           2   0.698918            1   -0.273436  71.590155   
21  6.513697e+07           2   0.801448            1   -0.665883  71.113449   
22  9.104127e+07           2   1.110598            1    2.405358  72.823985   
23  1.846560e+08           2   2.205753            1   -0.192527  72.683777   
24  4.184514e+07           2   0.505769            1    0.308642  72.908110   
25  1.804079e+08           2   2.124339            1    1.730772  74.169981   
26  9.460148e+07           2   1.130062            1   -1.701326  72.908110   
27  9.180740e+07           2   1.114165            1   -1.615385  71.730363   
28  1.065240e+08           2   1.317285            1   -1.329164  70.776950   
29  7.761409e+07           2   0.963609            1   -0.356577  70.524575   
30  1.035579e+08           2   1.300488            1   -1.471169  69.487037   
31  7.014272e+07           2   0.885152            1   -0.121068  69.402912   
32  5.517069e+07           2   0.698056            1   -0.686869  68.926205   
33  7.843031e+07           2   0.992714            1    0.081369  68.982288   
34  5.643603e+07           2   0.713824            1    0.243900  69.150538   
35  5.788824e+07           2   0.729115            1    0.364964  69.402912   

        pbMRQ      psTTM  pcfNcfTTM  isST  
0   17.418388  22.359317        0.0     0  
1   17.393280  22.327087        0.0     0  
2   17.606695  22.601039        0.0     0  
3   17.418388  22.359317        0.0     0  
4   16.665160  21.392428        0.0     0  
5   17.060605  21.900045        0.0     0  
6   16.960175  21.771126        0.0     0  
7   16.872298  21.658322        0.0     0  
8   16.602391  21.311854        0.0     0  
9   16.602391  21.311854        0.0     0  
10  16.589838  21.295739        0.0     0  
11  16.571007  21.271567        0.0     0  
12  16.602391  21.311854        0.0     0  
13  16.527069  21.215165        0.0     0  
14  16.571007  21.271567        0.0     0  
15  16.696545  21.432715        0.0     0  
16  16.483130  21.158763        0.0     0  
17  16.545899  21.239337        0.0     0  
18  16.106517  20.675318        0.0     0  
19  16.068855  20.626974        0.0     0  
20  16.024917  20.570572        0.0     0  
21  15.918210  20.433596        0.0     0  
22  16.301100  20.925098        0.0     0  
23  16.269716  20.884811        0.0     0  
24  16.319931  20.949270        0.0     0  
25  16.602391  21.311854        0.0     0  
26  16.319931  20.949270        0.0     0  
27  16.056301  20.610859        0.0     0  
28  15.842887  20.336907        0.0     0  
29  15.786395  20.264390        0.0     0  
30  15.554150  19.966266        0.0     0  
31  15.535319  19.942094        0.0     0  
32  15.428612  19.805118        0.0     0  
33  15.441166  19.821232        0.0     0  
34  15.478827  19.869577        0.0     0  
35  15.535319  19.942094        0.0     0

从打印结果可以看出，所有的行列均被显示，由于列数较多，出现了换行显示列的情况。

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