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]}
所以看起来应该是这样的:
Job Task LoadLevel Blocks Failure WeightedLevel
Desktop test 4546543 4384284 0,46544564 0,1354385
474454 978456 2 9655
9655 55654 966 665
等...
我尝试了一些我在网上找到的代码,但他们仍然会横向打印结果:
for k, d in result.items():
print(k + ":", d)
和
print("\t".join(str(x) for x in result))
答案 0 :(得分:5)
漂亮的打印表需要大量的代码(table-recipe,pretty-table)。在特定的基础上编写这种代码并不好玩;你不妨使用精心设计的模块。
如果你有pandas,你可以将dict直接转储到DataFrame中,并按照以下方式打印:
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]
这是一种在不使用第三方模块的情况下以类似表格式打印字典的方法:
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]))
产量
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
答案 1 :(得分:0)
如果它们的长度相同,那么这很容易。你想要做的是将字典分开,然后在print语句中使用end kwarg循环打印。
如下所示。如果你使每个项目都是一个相同长度的列表,那就更容易了。
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
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
不订购字典。老实说,我会重新定义您的数据结构。如果是表格数据则使用表格。