Python | Pandas TimedeltaIndex.dropna
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.dropna()
function drop all the missing values from the given TimedeltaIndex object. The function return Index without NA/NaN
values.
Syntax : TimedeltaIndex.dropna(how=’any’)
Parameters :
how : If the Index is a MultiIndex, drop the value when any or all levels are NaN.
Return : valid : Index
Example #1: Use TimedeltaIndex.dropna()
function to drop all 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.dropna()
function to drop all the missing values from the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.dropna()
function has returned a new object which has all the missing values dropped.
Example #2: Use TimedeltaIndex.dropna()
function to drop all 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.dropna()
function to drop all the missing values from the tidx object.
Output :
As we can see in the output, the TimedeltaIndex.dropna()
function has returned a new object which has all the missing values dropped.
Share your thoughts in the comments
Please Login to comment...