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.dtype_str
attribute return the data type of the TimedeltaIndex object in the string form.
Syntax: TimedeltaIndex.dtype_str
Return : dtype
Example #1: Use TimedeltaIndex.dtype_str
attribute to find the data type of the given TimedeltaIndex object in string format.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '1 days 02:00:00' , '1 days 06:05:01.000030' ]) # Print the TimedeltaIndex print (tidx) |
Output :
Now we want to find out the data type of the given TimedeltaIndex object in string format.
# return the data type of the values # in the given object in string format tidx.dtype_str |
Output :
As we can see in the output, the TimedeltaIndex.dtype_str
has returned the underlying data type of the values in the tidx object in string format.
Example #2: Use TimedeltaIndex.dtype_str
attribute to find the data type of the given TimedeltaIndex object in string format.
# importing pandas as pd import pandas as pd # Create the TimedeltaIndex object tidx = pd.TimedeltaIndex(data = [ '-1 days 2 min 3us' , '1 days 06:05:01.000030' , '-1 days + 23:59:59.999999' ]) # Print the TimedeltaIndex print (tidx) |
Output :
Now we want to find out the data type of the given TimedeltaIndex object in string format.
# return the data type of the values # in the given object in string format tidx.dtype_str |
Output :
As we can see in the output, the TimedeltaIndex.dtype_str
has returned the underlying data type of the values in the tidx object in string format.