我有一个字典,如下所示,如果一次找到更多相同的值,则必须使用增量编号来创建字典键。
TT = {
"TYPE_1" : ['ERROR'],
"TYPE_2": ['FATAL'],
"TYPE_3" : ["TIME_OUT"],
"TYPE_4" : ['SYNTAX'],
"TYPE_5" : ['COMPILE'],
}
m1 = "ERROR the input is not proper"
m2 = "This should have not occured FATAL"
m3 = "Sorry TIME_OUT"
m4 = "SYNTAX not proper"
m5 = "u r late its TIME_OUT"
“ TIME_OUT”值在搜索中出现两次。
count = 0
for key in TT.keys():
print(key)
Key_1 = key
while key_1 in TT:
count = count+1
key_1 = key + "_{}".format(count)
上面的代码给出了未定义的错误Key_1。
预期产量:
如果多次出现相同的值,则应使用递增编号“ TYPE_3_1”创建dict键:[“ TIME_OUT”],
TT = {
"TYPE_1" : ['ERROR'],
"TYPE_2": ['FATAL'],
"TYPE_3" : ["TIME_OUT"],
"TYPE_3_1" : ["TIME_OUT"],
"TYPE_4" : ['SYNTAX'],
"TYPE_5" : ['COMPILE'],
}
请对此提出建议。
答案 0 :(得分:0)
如果您可以重新考虑某些数据结构,那么可能会有一种非常有效的解决方法,但是如果这不是一种选择,您也许可以尝试一下。
inputs = ["ERROR the input is not proper",
"This should have not occured FATAL",
"Sorry TIME_OUT",
"SYNTAX not proper",
"u r late its TIME_OUT"]
basic_types = {
"TYPE_1" : ['ERROR'],
"TYPE_2": ['FATAL'],
"TYPE_3" : ["TIME_OUT"],
"TYPE_4" : ['SYNTAX'],
"TYPE_5" : ['COMPILE'],
}
type_counts = {}
results = {}
for sentence in inputs:
for basic_type in basic_types:
if basic_types.get(basic_type)[0] in sentence:
type_counts[basic_type] = type_counts.get(basic_type, 0) + 1
if type_counts[basic_type] == 1:
results[basic_type] = [basic_types.get(basic_type)[0]]
else:
results[basic_type+"_{}".format(type_counts[basic_type] - 1)] = [basic_types.get(basic_type)[0]]
print(results)