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.is_all_dates attribute return a boolean value. It returns True if the TimedeltaIndex object contains only dates.
Syntax: TimedeltaIndex.is_all_dates
Return : boolean
Example #1: Use TimedeltaIndex.is_all_dates attribute to check if the TimedeltaIndex object contains only dates.
# 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', None]) # Print the TimedeltaIndex print(tidx) |
Output :
Now we will check if the TimedeltaIndex object contains only date.
# check if tidx contains date tidx.is_all_dates |
Output :
As we can see in the output, the TimedeltaIndex.is_all_dates attribute has returned True indicating that tidx contain all date values.
Example #2: Use TimedeltaIndex.inferred_type attribute to check if the TimedeltaIndex object contains only dates.
# 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 will check if the TimedeltaIndex object contains only date.
# check if tidx contains date tidx.is_all_dates |
Output :
As we can see in the output, the TimedeltaIndex.is_all_dates attribute has returned True indicating that tidx contain all date values.
