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Print a dictionary of lists vertically

I want to print the following dictionary of lists vertically:

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]}

So it should look like this:

Job           Task          LoadLevel         Blocks          Failure         WeightedLevel
Desktop       test          4546543           4384284         0,46544564      0,1354385
                            474454            978456          2               9655
                            9655              55654           966             665

etc.

I tried some codes that I found on the Internet, but they still print the results horizontally:

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

and

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

Pretty-printing tables require a significant amount of code ( table-recipe , pretty table ). It is not fun to write such code on a one-time basis; You can also use a well-designed module.

If you have pandas , you can dump the dict file directly in the DataFrame and print it as follows:

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]

dict :

import itertools as IT

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]}

matrix = zip(*[value if isinstance(value, list) else IT.repeat(value) for key,value in result.items()])
print(''.join(['{:15}'.format(key) for key in result.keys()]))
for row in matrix:
    print(''.join(['{:15}'.format(str(item)) for item in row]))


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
+5

, . , , , end kwarg . ​​

- . , .

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)


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

. , . , .

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Source: https://habr.com/ru/post/1670511/

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