Python | Pandas TimedeltaIndex.astype ()

TimedeltaIndex.astype() Pandas TimedeltaIndex.astype() creates an index with values ​​cast to dtypes ... The class of the new index is determined by the dtype. When conversion is not possible, a ValueError is thrown.

Syntax: TimedeltaIndex.astype (dtype, copy = True)

Parameters:
dtype: numpy dtype or pandas type
copy: bool, default True
By default, astype always returns a newly allocated object. If copy is set to False and internal requirements on dtype are satisfied, the original data is used to create a new Index or the original Index is returned.

Return: Index object

Example # 1: Use TimedeltaIndex.astype () to cast TimedeltaIndex object values ​​to & # 39; str & # 39;.

# import pandas as pd import pandas as pd   # Create first TimedeltaIndex object tidx = pd.TimedeltaIndex (start = ’1 days 02: 00: 12.001124’ , periods = 5 , freq = ’N’ , name = ’Koala’ )   # Print the TimedeltaIndex object print (tidx)

Output:

We will now use TimedeltaIndex.astype () to cast the value to a string.

# convert data values ​​to string format. tidx. astype ( ’str’ )

Output:

As we can see in the output, TimedeltaIndex.astype () values ​​the tidx object into the desired format.

Example # 2 : Use TimedeltaIndex.astype () to cast TimedeltaIndex object values ​​to & # 39; bool & # 39 ;.

# import pandas as pd import pandas as pd   # Create TimedeltaIndex object tidx = pd.TimedeltaIndex (data = [ ’06: 05: 01.000030’ , ’+23: 59: 59.999999’ ,   ’22 day 2 min 3us 10ns’ ])    # Print the TimedeltaIndex object print (tidx )

Output:

Now we will use TimedeltaIndex.astype () to cast the value to the bool type.

# cast data values ​​to bool type. tidx.astype ( ’bool’ )

Output:

As we can see in the output, TimedeltaIndex.astype () values ​​the tidx object into the desired format.