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.view()
function is used for the visualization of the given TimedeltaIndex object. It is like printing the object.
Syntax : TimedeltaIndex.view(cls=None)
Parameters : None
Return : View
Example #1: Use TimedeltaIndex.view()
function to visualize the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '06:05:01.000030' , '+23:59:59.999999' ,
'22 day 2 min 3us 10ns' , '06:05:01.000030' ,
'+12:19:59.999999' ])
# Print the TimedeltaIndex object print (tidx)
|
Output :
Now we will use the TimedeltaIndex.view()
function to view the tidx object
# print the TimedeltaIndex object tidx.view() |
Output :
As we can see in the output, the TimedeltaIndex.view()
function has basically printed the given TimedeltaIndex object on the screen.
Example #2: Use TimedeltaIndex.view()
function to visualize the given TimedeltaIndex object.
# importing pandas as pd import pandas as pd
# Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '3 days 06:05:01.000030' , '1 days 06:05:01.000030' ,
'3 days 06:05:01.000030' , '1 days 06:05:01.000030' ,
'21 days 06:15:01.000030' ])
# Print the TimedeltaIndex object print (tidx)
|
Output :
Now we will use the TimedeltaIndex.view()
function to view the tidx object
# print the TimedeltaIndex object tidx.view() |
Output :
As we can see in the output, the TimedeltaIndex.view()
function has basically printed the given TimedeltaIndex object on the screen.