我有一些基本的代码来处理Perl哈希,我可以在这里解决以下元素:$ data {“WV2”} {789} {PP1}(或在作业中使用实际文本)...但我想使用Python词典做类似的事情。
Perl和Python中的一些简单程序说明了我一直在尝试复制的内容如下: -
所以,Perl代码: -
# hash.pl
use strict;
use warnings;
use Data::Dumper;
my %data = ();
my @reg_list = ( "MC1", "CA2", "WV2" );
my @site_list = ( 123, 456, 391, 287 );
$data{MC1}{4564}{PP}{1} = "-15,-15C";
$data{MC1}{4564}{PP}{2} = "5,5C";
$data{MC1}{4564}{PP}{3} = "-19,-19C";
$data{MC1}{4564}{PP}{4} = "-12,-12C";
printf("---- One:\n");
print Dumper(%data); # Ok, shows the full strucure
printf("---- Two:\n");
print Dumper($data{"MC2"}); # Shows as undef (sensible)
printf("---- Three:\n");
print Dumper($data{"MC1"}); # Ok, showing the key:values for each "site" key
printf("---- Four:\n");
print Dumper($data{"MC1"}{"4564"}); # Ok, shows the actual equality value above
# ---- This works Ok
my %xdata = ();
$xdata{"MC1"}{123}{"PP"} = "-15,-15C";
$xdata{"MC1"}{456}{"PP"} = "5,5C";
$xdata{"MC1"}{391}{"PP"} = "-19,-19C";
$xdata{"MC1"}{287}{"PP"} = "-12,-12C";
printf("---- One:\n");
print Dumper(%xdata); # Ok, shows the full strucure
#pprint.pprint(data["MC2"])
#pprint.pprint(data["MC1"}{391])
# [eof]
......和Python代码: -
# dict.py
import pprint
import collections
reg_list = [ "MC1", "CA2", "WV2" ]
site_list = [ 123, 456, 391, 287 ]
#data = {}
data = collections.defaultdict(dict) # {}
data["MC1"][123] = "-15,-15C"
data["MC1"][456] = "5,5C"
data["MC1"][391] = "-19,-19C"
data["MC1"][287] = "-12,-12C"
print("---- One:")
pprint.pprint(data) # Ok, shows the full strucure
print("---- Two:")
pprint.pprint(data["MC2"]) # Shows: {} [...Ok, undefined...]
print("---- Three:")
pprint.pprint(data["MC1"]) # Ok, showing the key:values for each "site" key
print("---- Four:")
pprint.pprint(data["MC1"][391]) # Ok, shows the actual equality value above
# ---- Cannot get the following to work
xdata = collections.defaultdict(dict) # {}
xdata["MC1"][123]["PP"] = "-15,-15C" # ERROR: Key error 123
xdata["MC1"][456]["PP"] = "5,5C"
xdata["MC1"][391]["PP"] = "-19,-19C"
xdata["MC1"][287]["PP"] = "-12,-12C"
#pprint.pprint(data["MC2"])
#pprint.pprint(data["MC1"][391])
# [eof]
每个计划的产出如下: -
# Perl Output:
---- One:
$VAR1 = 'MC1';
$VAR2 = {
'4564' => {
'PP' => {
'4' => '-12,-12C',
'1' => '-15,-15C',
'3' => '-19,-19C',
'2' => '5,5C'
}
}
};
---- Two:
$VAR1 = undef;
---- Three:
$VAR1 = {
'4564' => {
'PP' => {
'4' => '-12,-12C',
'1' => '-15,-15C',
'3' => '-19,-19C',
'2' => '5,5C'
}
}
};
---- Four:
$VAR1 = {
'PP' => {
'4' => '-12,-12C',
'1' => '-15,-15C',
'3' => '-19,-19C',
'2' => '5,5C'
}
};
---- One:
$VAR1 = 'MC1';
$VAR2 = {
'391' => {
'PP' => '-19,-19C'
},
'456' => {
'PP' => '5,5C'
},
'123' => {
'PP' => '-15,-15C'
},
'287' => {
'PP' => '-12,-12C'
}
};
......并从Python: -
# Python Output:-
---- One:
defaultdict(<class 'dict'>,
{'MC1': {123: '-15,-15C',
287: '-12,-12C',
391: '-19,-19C',
456: '5,5C'}})
---- Two:
{}
---- Three:
{123: '-15,-15C', 287: '-12,-12C', 391: '-19,-19C', 456: '5,5C'}
---- Four:
'-19,-19C'
Traceback (most recent call last):
File "C:\Projects\00-Development\LXQuery\CDB-Review\dict.py", line 30, in <module>
xdata["MC1"][123]["PP"] = "-15,-15C" # ERROR: Key error 123
KeyError: 123
我试图查找有关嵌套词典的信息......但是我所看到的一切并没有清楚地解释这个概念应该如何工作(无论如何我想到的)....特别是当有'使用中更深层次的词典。
我已经编写了大约25年的Perl代码,但我只是从Python开始。
在Windows 10 x64下运行ActiveState Perl v5.16.3,Build 1603和Anaconda Python 3.6.5。
非常感谢任何想法或建议。
Python不会像Perl对其哈希所做的那样自动生成多级词典。在第二级和更深级别,您必须在向其添加更多键之前将空dict
分配给更高级别的dict
s:
xdata = collections.defaultdict(dict)
xdata["MC1"] = collections.defaultdict(dict)
xdata["MC1"][123]["PP"] = "-15,-15C" # ERROR: Key error 123
xdata["MC1"][456]["PP"] = "5,5C"
xdata["MC1"][391]["PP"] = "-19,-19C"
xdata["MC1"][287]["PP"] = "-12,-12C"
解决问题的简单方法似乎是: -
xdata = collections.defaultdict(dict) # {}
xdata["MC1"][123] = {} # Define the dict before using it
xdata["MC1"][123]["PP"] = "-15,-15C" # Works Ok
......但这仍然意味着每当我发现'一个新的'价值'时,我必须'手动'定义一个字典... ...等等
尽管固有的Gotcha!有错误的打字和(可能的)dict内容的腐败,What is the best way to implement nested dictionaries?似乎是一个处理问题的好方法...特别是作为价值(在我当前的应用中,无论如何)“从来没有看到光明的一天“(它们是在进入我的应用程序之前生成并验证的机器)......所以,一些可能有用的代码可能是: -
class Vividict(dict):
def __missing__(self, key):
value = self[key] = type(self)() # retain local pointer to value
return value # faster to return than
# ...'dict lookup'
ydata = Vividict()
ydata["MC1"][123]["PP"] = "-15,-15C"
ydata["MC1"][456]["PP"] = "5,5C"
ydata["MC1"][391]["PP"] = "-19,-19C"
ydata["MC1"][287]["PP"] = "-12,-12C"
pprint.pprint(ydata) # Ok, shows the full strucure
感谢一堆建议和指针。