To check if the Pandas Index is of the object dtype, use the index.is_object() method. At first, import the required libraries -import pandas as pdCreating Pandas index −index = pd.Index(["Electronics", 6, 10.5, "Accessories", 25.6, 30]) Display the Pandas index −print("Pandas Index...", index)Check whether index values has object dtype −print("Is the Index of object dtype?", index.is_object()) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index(["Electronics", 6, 10.5, "Accessories", 25.6, 30]) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in the ... Read More

Use the timedelta.delta property in Pandas to get the timedelta in nanoseconds for internal compatibility.At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('5 days 1 min 45 s 40 ns') Return the timedelta in nanosecondstimedelta.deltaExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('5 days 1 min 45 s 40 ns') # display the Timedelta print("Timedelta...", timedelta) # return the timedelta in ... Read More

To check if the Pandas Index only consists of numeric data, use the index.is_numeric() method. At first, import the required libraries -import pandas as pd import numpy as npCreating Pandas index with integer, float and NaNsindex = pd.Index([5, 10.2, 25, 50, 75.2, 100, np.nan]) Display the Pandas index −print("Pandas Index...", index)Check whether index values has only numeric data. Numeric data includes integer, floats and NaNs −index.is_numeric() ExampleFollowing is the code −import pandas as pd import numpy as np # Creating Pandas index with integer, float and NaNs index = pd.Index([5, 10.2, 25, 50, 75.2, 100, np.nan]) # Display ... Read More

To get the number of days from TimeDelta, use the timedelta.days property in Pandas. At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('5 days 1 min 45 s') Return the number of daystimedelta.daysExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('5 days 1 min 45 s') # display the Timedelta print("Timedelta...", timedelta) # return the number of days res = timedelta.days ... Read More

To return a components namedtuple-like, use the timedelta.components. At first, import the required libraries −import pandas as pdTimeDeltas is Python’s standard datetime library uses a different representation timedelta’s. Create a Timedelta objecttimedelta = pd.Timedelta('1 days 10 min 20 s') Return a components namedtuple-liketimedelta.componentsExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('1 days 10 min 20 s') # display the Timedelta print("Timedelta...", timedelta) # return a components namedtuple-like res = timedelta.components # display the component print("Component...", res)OutputThis will ... Read More

To check if the Pandas Index with some NaNs is a floating type, use the index.is_floating() method. At first, import the required libraries −import pandas as pd import numpy as npCreating Pandas index with some NaNs −index = pd.Index([5.7, 6.8, 10.5, np.nan, 17.8, 25.6, np.nan ,np.nan, 50.2]) Display the Pandas index −print("Pandas Index...", index)Check whether index values with some NaNs are floating type −print("Index values with some NaNs is a floating type?", index.is_floating())ExampleFollowing is the code −import pandas as pd import numpy as np # Creating Pandas index with some NaNs index = pd.Index([5.7, 6.8, 10.5, np.nan, 17.8, 25.6, ... Read More

To return a numpy timedelta64 array scalar view in nanoseconds, use the timedelta.asm8 property in Pandas.At first, import the required libraries −import pandas as pdExampleFollowing is the code import pandas as pd # TimeDeltas is Python’s standard datetime library uses a different representation timedelta’s # create a Timedelta object timedelta = pd.Timedelta('10 min 20 s') # display the Timedelta print("Timedelta...", timedelta) # getting the timedelta64 in nanoseconds res = timedelta.asm8 # display the timedelta64 print("Timedelta64 array scalar view...", res)OutputThis will produce the following code Timedelta...  0 days 00:10:20 Timedelta64 array scalar view... 620000000000 nanoseconds

To check if the Pandas Index holds Interval objects, use the index.is_interval() method in Pandas.At first, import the required libraries -import pandas as pdCreate Interval objects −interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50)Display the intervals −print("Interval1...", interval1) print("Interval2...", interval2)Creating Pandas index with Interval object1 and 2 −index = pd.Index([interval1, interval2]) Check whether index values has only interval objects −print("Does Index consists of Interval objects?", index.is_interval())ExampleFollowing is the code −import pandas as pd # create Interval objects interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50) # display the intervals print("Interval1...", interval1) print("Interval2...", interval2) # Creating Pandas index ... Read More

To get the weekday from Timestamp object, use the timestamp.weekday() method. At first, import the required libraries −import pandas as pd import datetimeSet the timestamp in Pandas. Create a Timestamp objecttimestamp = pd.Timestamp(datetime.datetime(2021, 5, 12)) Get the weekday of the year. Weekday is represented by number Monday == 0, Tuesday == 1 … Sunday == 6timestamp.weekday()ExampleFollowing is the code import pandas as pd import datetime # set the timestamp in Pandas # create a Timestamp object timestamp = pd.Timestamp(datetime.datetime(2021, 5, 12)) # display the Timestamp print("Timestamp...", timestamp) # getting the weekday of the year res = timestamp.weekday() ... Read More

To get the UTC Offset Time, use the timestamp.utcoffset(). At first, import the required libraries −import pandas as pdCreating a timestamptimestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') New timestamp with UTC day and timetimestamp.utcnow()Get the UTC offset timetimestamp.utcoffset() ExampleFollowing is the code import pandas as pd # creating a timestamp timestamp = pd.Timestamp('2021-10-16T15:12:34.261811624', tz='UTC') # display the Timestamp print("Timestamp...", timestamp) # new timestamp with UTC day and time print("UTC day and time...", timestamp.utcnow()) # Get the UTC offset time print("UTC offset time...", timestamp.utcoffset())OutputThis will produce the following code Timestamp...  2021-10-16 15:12:34.261811624+00:00 UTC day and time... 2021-10-03 07:56:44.685816+00:00 ... Read More