Pretty-printing tables requires a considerable amount of code (table-recipe, pretty-table). It's no fun writing this kind of code on an ad-hoc basis; you might as well use a well-designed module.
If you have pandas, you could dump the dict directly into a DataFrame, and print it like this:
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]
Here is a way to print the dict in a table-like format without using a third-party module:
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]))
yields
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