垂直打印列表词典

Question

我想垂直打印以下列表字典：

result = {'WeightedLevel': [388.850952, 716.718689, 1312.55957, 2405.087158, 4460.083984, 8543.792969, 18805.201172, 57438.140625, 1792.367554], 'Job': 'Desktop', 'LoadLevel': [0.212399, 0.393191, 0.727874, 1.347436, 2.494368, 4.617561, 8.548006, 15.824027, 1.0], 'Task': 'test', 'Failure': [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], 'Blocks': [7255.151855, 231.589661, 9.365415, 0.55364, 0.0504, 0.006408, 0.001204, 0.000842, 2.060041]}

所以应该是这样的：

^{pr2}$

等等。。。在

我尝试了一些我在网上找到的代码，但他们仍然水平打印结果：

for k, d in result.items():
    print(k + ":", d)         

以及

print("\t".join(str(x) for x in result))

Answer 1

如果它们的长度都一样，这就很容易了。您要做的是拆分字典，然后在print语句中使用end kwarg循环打印。在

像下面这样的。如果你把每一项都列成一个长度相同的清单，那就更容易了。在

def print_dict_table(result):
    """Print a dictionary of lists like a table.

    Args:
        result (dict): Dictionary of lists to print as a table.
    """
    # Count the longest value
    keys = result.keys()
    count = 0
    for i in result.values():
        if isinstance(i, list) and len(i) > count:
            count = len(i)

    # print header
    for i in keys:
        print(i, end="\t")
    print()

    # print columns
    for i in range(count):
        for j in keys:
            if isinstance(result[j], list) and len(result[j]) >= i:
                    print(result[j][i], end="\t")
            else:
                print(result[j], end="\t")
        print()
# end print_dict_table


result = {'WeightedLevel': [388.850952, 716.718689, 1312.55957, 2405.087158, 4460.083984, 8543.792969, 18805.201172, 57438.140625, 1792.367554], 'Job': 'Desktop', 'LoadLevel': [0.212399, 0.393191, 0.727874, 1.347436, 2.494368, 4.617561, 8.548006, 15.824027, 1.0], 'Task': 'test', 'Failure': [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], 'Blocks': [7255.151855, 231.589661, 9.365415, 0.55364, 0.0504, 0.006408, 0.001204, 0.000842, 2.060041]}

print_dict_table(result)

结果

^{pr2}$

词典没有排序。老实说，我会重新定义你的数据结构。如果是表数据，则使用表。在

Answer 2

漂亮的打印表需要大量的代码（table-recipe，pretty-table）。在即席的基础上编写这种代码并不是一件有趣的事；您不妨使用一个设计良好的模块。在

如果有pandas，可以将dict直接转储到数据帧中，然后按如下方式打印：

In [4]: import pandas as pd
In [5]: result = {'WeightedLevel': [388.850952, 716.718689, 1312.55957, 2405.087158, 4460.083984, 8543.792969, 18805.201172, 57438.140625, 1792.367554], 'Job': 'Desktop', 'LoadLevel': [0.212399, 0.393191, 0.727874, 1.347436, 2.494368, 4.617561, 8.548006, 15.824027, 1.0], 'Task': 'test', 'Failure': [2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0], 'Blocks': [7255.151855, 231.589661, 9.365415, 0.55364, 0.0504, 0.006408, 0.001204, 0.000842, 2.060041]}

In [6]: pd.DataFrame(result)
Out[6]: 
        Blocks  Failure      Job  LoadLevel  Task  WeightedLevel
0  7255.151855        2  Desktop   0.212399  test     388.850952
1   231.589661        2  Desktop   0.393191  test     716.718689
2     9.365415        2  Desktop   0.727874  test    1312.559570
3     0.553640        2  Desktop   1.347436  test    2405.087158
4     0.050400        2  Desktop   2.494368  test    4460.083984
5     0.006408        2  Desktop   4.617561  test    8543.792969
6     0.001204        2  Desktop   8.548006  test   18805.201172
7     0.000842        2  Desktop  15.824027  test   57438.140625
8     2.060041        2  Desktop   1.000000  test    1792.367554

[9 rows x 6 columns]

---

以下是一种不使用第三方模块以表格格式打印dict的方法：

^{pr2}$

收益率

Task           Blocks         LoadLevel      Failure        Job            WeightedLevel  
test           7255.151855    0.212399       2.0            Desktop        388.850952     
test           231.589661     0.393191       2.0            Desktop        716.718689     
test           9.365415       0.727874       2.0            Desktop        1312.55957     
test           0.55364        1.347436       2.0            Desktop        2405.087158    
test           0.0504         2.494368       2.0            Desktop        4460.083984    
test           0.006408       4.617561       2.0            Desktop        8543.792969    
test           0.001204       8.548006       2.0            Desktop        18805.201172   
test           0.000842       15.824027      2.0            Desktop        57438.140625   
test           2.060041       1.0            2.0            Desktop        1792.367554