[英]How to convert float to int in a list in python?
I am facing problem in converting float to int in python list. 我在将float转换为python列表中的int时遇到问题。
One of the elements of the list looks like this: 列表的元素之一如下所示:
{'artForm': 'Madur',
'artistName': 'Bharati Dolai',
'gender': 'F',
'district': 'Paschim Medinipur',
'phone': '',
'artisanCard': {'exists': 'N', 'cardNo': ''},
'dob': '',
'age': 45.0,
'year': 1971.0,
'education': 'I',
'childrenGoToSchool': 'Y'
}
I am unable to convert the age
and year
to int. 我无法将
age
和year
转换为int。
My code: 我的代码:
for i in range(len(d)):
int(d[i]['age'])
And I get the following error 我得到以下错误
ValueError: cannot convert float NaN to integer
Desired output: 所需的输出:
{'artForm': 'Madur',
'artistName': 'Bharati Dolai',
'gender': 'F',
'district': 'Paschim Medinipur',
'phone': '',
'artisanCard': {'exists': 'N', 'cardNo': ''},
'dob': '',
'age': 45, #converted to int
'year': 1971, #converted to int
'education': 'I',
'childrenGoToSchool': 'Y'
}
You have some ages which are NaNs
in your list. 您的年龄列表中包含
NaNs
。 If these cannot be removed you could try wrapping your code in a try-except
statement: 如果无法删除这些代码,则可以尝试将代码包装在
try-except
语句中:
num_of_nans = 0
for entry in d:
try:
entry['age'] = int(entry['age'])
except ValueError:
entry['age'] = 'Age not known'
num_of_nans += 1
You may want to count the number of NaNs so you have an idea of how many of your entries are missing. 您可能需要计算NaN的数量,以便您知道缺少多少个条目。
Using dict comprehension
: 使用
dict comprehension
:
import math
print({k: int(v) if k == 'age' or k == 'year' and not math.isnan(v) else v for k,v in d.items()})
OUTPUT : 输出 :
{
'artForm': 'Madur', 'artistName': 'Bharati Dolai', 'gender': 'F',
'district': 'Paschim Medinipur', 'phone': '',
'artisanCard': {'exists': 'N', 'cardNo': ''},
'dob': '', 'age': 45, 'year': 1971,
'education': 'I', 'childrenGoToSchool': 'Y'
}
EDIT : 编辑 :
If you only want the specific columns: 如果只需要特定的列:
print({k: int(v) for k, v in d.items() if k == 'age' or k == 'year' and not math.isnan(v)})
OUTPUT : 输出 :
{'age': 45, 'year': 1971}
one liner 一支班轮
>>> test_dict = {"value1": 111.2, "value2": "asd", "value3": 13.232}
>>> test_dict = {key: int(math.floor(value)) if isinstance(value, float) else value for key, value in test_dict.items()}
>>> test_dict
{'value1': 111, 'value2': 'asd', 'value3': 13}
Some of your values are NaN
. 您的某些值为
NaN
。 Also, you missed the assignment operation. 另外,您错过了分配操作。
import math
for i in range(len(d)):
if not math.isnan(d[i]['age']):
d[i]['age'] = int(d[i]['age'])
Do the same within a try
block as some of the values for the 'age'
key is NaN
: 在
try
块中执行相同的操作,因为'age'
键的某些值为NaN
:
for i in range(len(d)):
try:
d[i]['age'] = int(d[i]['age'])
except Exception as e1:
pass
This will also help to avoid those cases where 'age'
key has vacant string like ''
. 这也将有助于避免
'age'
键具有空字符串(例如''
。
try this: 尝试这个:
d = {'artForm': 'Madur',
'artistName': 'Bharati Dolai',
'gender': 'F',
'district': 'Paschim Medinipur',
'phone': '',
'artisanCard': {'exists': 'N', 'cardNo': ''},
'dob': '',
'age': 45.0,
'year': 1971.0,
'education': 'I',
'childrenGoToSchool': 'Y'
}
for i in range(len(d)):
#convert age to int and replace age
d['age'] = int(d['age'])
#if you want to convert all the floats to ints:
for k in list(d):#list d to get all the key
#test is float?
if isinstance(d[k], float):
#yes? convert it to int
d[k] = int(d[k])
#else pass
else:
pass
print(d)
Better to have a default value if the property is missing or incorrect. 如果属性丢失或不正确,最好具有默认值。 and you don't need to use range to loop a list.
并且您不需要使用range来循环列表。
for u in d:
try:
u["age"] = int(u["age"])
except ValueError:
u["age"] = 0
try:
u["year"] = int(u["year"])
except ValueError:
u["year"] = 0
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