Python | Pandas TimedeltaIndex.isnull
Last Updated :
28 Dec, 2018
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier.
Pandas TimedeltaIndex.isnull()
function detect all the missing values from the given TimedeltaIndex object. The function is similar to TimedeltaIndex.isna()
.
Syntax : TimedeltaIndex.isnull()
Parameters : None
Return : a boolean array of whether the values are NA
Example #1: Use TimedeltaIndex.isnull()
function to detect all the missing values from the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , None , '22 day 2 min 3us 10ns' ,
'+23:59:59.999999' , None , '+12:19:59.999999' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.isnull()
function to detect all the missing values from the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.isnull()
function has returned an array object which contains True
value corresponding to the missing values.
Example #2: Use TimedeltaIndex.isnull()
function to detect all the missing values from the given TimedeltaIndex object.
import pandas as pd
tidx = pd.TimedeltaIndex(data = [ None , '1 days 06:05:01.000030' , None ,
'1 days 02:00:00' , '21 days 06:15:01.000030' ])
print (tidx)
|
Output :
Now we will use the TimedeltaIndex.isnull()
function to detect all the missing values from the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.isnull()
function has returned an array object which contains True
value corresponding to the missing values.
Like Article
Suggest improvement
Share your thoughts in the comments
Please Login to comment...