检查单个单元格的值是否为Pandas中的NaN
问题描述：
我只想检查Pandas系列中的单个单元格是否为空，即检查值是否为NaN.
I just want to check if a single cell in Pandas series is null or not i.e. to check if a value is NaN.
所有其他答案适用于序列和数组，但不适用于单个值.
All other answers are for series and arrays, but not for single value.
我尝试了pandas.notnull，pandas.isnull，numpy.isnan.是否只有一个单一值的解决方案?
I have tried pandas.notnull, pandas.isnull, numpy.isnan. Is there a solution for a single value only?
答
尝试一下:
import pandas as pd
import numpy as np
from pandas import *
>>> L = [4, nan ,6]
>>> df = Series(L)
>>> df
0 4
1 NaN
2 6
>>> if(pd.isnull(df[1])):
print "Found"
Found
>>> if(np.isnan(df[1])):
print "Found"
Found