[英]Solving ValueError: cannot convert float NaN to integer
我正在編寫一個函數,該函數返回一個字典,其中數據集中所有引用的創建日期的年份用作鍵,作為值,它指定函數do_get_citations_per_year
返回的兩個項目的元組。
def do_get_citations_per_year(data, year):
result = tuple()
my_ocan['creation'] = pd.DatetimeIndex(my_ocan['creation']).year
len_citations = len(my_ocan.loc[my_ocan["creation"] == year, "creation"])
timespan = my_ocan.loc[my_ocan["creation"] == year, "timespan"].fillna(0).mean()
result = (len_citations, round(timespan))
return result
def do_get_citations_all_years(data):
mydict = {}
s = set(my_ocan.creation)
print(s)
for year in s:
mydict[year] = do_get_citations_per_year(data, year)
#print(mydict)
return mydict
我不斷收到錯誤消息:
(32, 240)
{2016, 2017, 2018, 2013, 2015}
File "/Users/lisa/Desktop/yopy/execution_example.py", line 28, in <module>
print(my_ocan.get_citations_all_years())
File "/Users/lisa/Desktop/yopy/ocan.py", line 35, in get_citations_all_years
return do_get_citations_all_years(self.data)
File "/Users/lisa/Desktop/yopy/lisa.py", line 113, in do_get_citations_all_years
mydict[year] = do_get_citations_per_year(data, year)
File "/Users/lisa/Desktop/yopy/lisa.py", line 103, in do_get_citations_per_year
result = (len_citations, round(timespan))
ValueError: cannot convert float NaN to integer
Process finished with exit code 1
更新:為了提供一個工作示例,我在這里發布了其他函數,特別是處理我的數據幀 (my_ocan) do_process_citation_data(f_path)
和我的解析函數parse_timespan
函數:
def do_process_citation_data(f_path):
global my_ocan
my_ocan = pd.read_csv(f_path, names=['oci', 'citing', 'cited', 'creation', 'timespan', 'journal_sc', 'author_sc'],
parse_dates=['creation', 'timespan'])
my_ocan = my_ocan.iloc[1:] # to remove the first row
my_ocan['creation'] = pd.to_datetime(my_ocan['creation'], format="%Y-%m-%d", yearfirst=True)
my_ocan['timespan'] = my_ocan['timespan'].map(parse_timespan)
print(my_ocan['timespan'])
return my_ocan
#print(my_ocan['timespan'])
timespan_regex = re.compile(r'P(?:(\d+)Y)?(?:(\d+)M)?(?:(\d+)D)?')
def parse_timespan(timespan):
# check if the input is a valid timespan
if not timespan or 'P' not in timespan:
return None
# check if timespan is negative and skip initial 'P' literal
curr_idx = 0
is_negative = timespan.startswith('-')
if is_negative:
curr_idx = 1
# extract years, months and days with the regex
match = timespan_regex.match(timespan[curr_idx:])
years = int(match.group(1) or 0)
months = int(match.group(2) or 0)
days = int(match.group(3) or 0)
timespan_days = years * 365 + months * 30 + days
return timespan_days if not is_negative else -timespan_days
當我打印 my_ocan['timespan']
我得到:
1 486.0
2 1080.0
3 730.0
4 824.0
5 365.0
6 0.0
...
我認為問題是 0.0
我怎樣才能解決這個浮點 NaN 到整數問題?
先感謝您!
我試過用python 2.7這個:
>>> round(float('NaN'))
nan
>>> round(float(0.0))
0.0
這與python 3.6:
>>> round(float('NaN'))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: cannot convert float NaN to integer
>>> round(float(0.0))
0
因此,您似乎將任何 NaN 值放入輪函數中。 您可以使用 try except 語句來管理此問題:
try:
result = (len_citations, round(timespan))
except ValueError:
result = (len_citations, 0)
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