【发布时间】:2021-09-18 11:37:27
【问题描述】:
我正在尝试编写一个代码来格式化列表理解函数[print('{:<15} ${:<4f}'.format(Timeframes[counter],x)) for counter,x in enumerate(Compounding)],以便打印预期的输出。我正在尝试在同一行上打印 Compounding 和 Non_Compounding 的值,但我尝试执行的 Print Function 不起作用。我怎样才能像预期输出一样运行它?
代码:
import numpy as np
Timeframes = ['Last Month:', 'Three Months:', 'Six Months:', 'Last Year:', 'Last Two Years:', 'Entirety:']
Compounding = np.array([97.44704833566995, 77.20626280482892, 232.04635122144302, 424.5742707027069, 4076.195731389482, 28513.877490504994])
NonCompounding = np.array([98.7019108522086, 79.00055035682558, 198.89764228943147, 268.25878090471525, 514.6930939260048, 938.811329948405])
print("\t\tCompounding ")
[print('{:<15} ${:<4f}'.format(Timeframes[counter],x)) for counter,x in enumerate(Compounding)]
print("\n\t\tNon Compounding: ")
[print('{:<15} ${:<4f}'.format(Timeframes[counter],x)) for counter,x in enumerate(NonCompounding)]
打印功能:
[print('{:<15} ${:<4f}\t\t${:<4f}'.format(Timeframes[counter],x,y)) for counter,x,y in enumerate(Compounding,NonCompounding)]
输出
Compounding
Last Month: $97.447048
Three Months: $77.206263
Six Months: $232.046351
Last Year: $424.574271
Last Two Years: $4076.195731
Entirety: $28513.877491
Non Compounding:
Last Month: $98.701911
Three Months: $79.000550
Six Months: $198.897642
Last Year: $268.258781
Last Two Years: $514.693094
Entirety: $938.811330
预期输出:
Compounding Non Compounding
Last Month: $97.447048 $98.701911
Three Months: $77.206263 $79.000550
Six Months: $232.046351 $198.897642
Last Year: $424.574271 $268.258781
Last Two Years: $4076.195731 $514.693094
Entirety: $28513.877491 $938.811330
【问题讨论】:
-
不要使用列表推导进行循环,使用普通的
for循环。
标签: python arrays numpy for-loop printing