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Python Pandas - Get the Total seconds in the duration from the Timedelta object

AmitDiwan
Updated on 14-Oct-2021 06:46:33

16K+ Views

To get the Total seconds in the duration from the Timedelta object, use the timedelta.total_seconds() method.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 object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Get the total seconds −timedelta.total_seconds() ExampleFollowing 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('2 days 11 hours 22 min 25 s 50 ms ... Read More

Python Pandas - Sort index values and also return the indices that would sort the index

AmitDiwan
Updated on 14-Oct-2021 06:45:16

268 Views

To sort index values and also return the indices that would sort the index, use the index.sort_values(). The return_indexer parameter is set to be True.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Sort index values. By default, sorts in Ascending order. Return the indices to sort the index using the "return_indexer" parameter with value True −print("Sort and also return the indices that would sort the index...", index.sort_values(return_indexer=True))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = ... Read More

Python Pandas - Convert the Timedelta to a NumPy timedelta64

AmitDiwan
Updated on 14-Oct-2021 06:44:12

2K+ Views

To convert the Timedelta to a NumPy timedelta64, use the timedelta.to_timedelta64() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Convert the Timedelta to a NumPy timedelta64 −timedelta.to_timedelta64() ExampleFollowing 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('2 days 11 hours 22 min 25 s 50 ms 45 ns') # display the Timedelta print("Timedelta...", timedelta) # Convert ... Read More

Python Pandas - Return a numpy.timedelta64 object with ns precision

AmitDiwan
Updated on 14-Oct-2021 06:41:05

394 Views

To return a numpy.timedelta64 object with ns precision, use the timedelta.to_timedelta64() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return a numpy.timedelta64 object with nanoseconds precision −timedelta.to_timedelta64() ExampleFollowing 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('2 days 11 hours 22 min 25 s 50 ms 45 ns') # display the Timedelta print("Timedelta...", timedelta) # ... Read More

Python Pandas - Return a sorted copy of the index in descending order

AmitDiwan
Updated on 14-Oct-2021 06:43:12

353 Views

To return a sorted copy of the index, use the index.sort_values() method in Pandas. The parameter ascending is set False.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Sort index values. To sort values in Descending order, set the "ascending" parameter to "False" −print("Sort the index values in descending order...", index.sort_values(ascending=False))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([50, 10, 70, 95, 110, 90, 30]) # Display the Pandas index print("Pandas Index...", index) ... Read More

Convert a pandas Timedelta object into a Python timedelta object

AmitDiwan
Updated on 14-Oct-2021 06:39:43

725 Views

To convert a pandas Timedelta object into a Python timedelta object, use the timedelta.to_pytimedelta() method.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Convert a pandas Timedelta object into a python timedelta object. Any nanosecond resolution will be lost −timedelta.to_pytimedelta() ExampleFollowing 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('2 days 11 hours 22 min 25 s 50 ms ... Read More

Python Pandas - Return a sorted copy of the index

AmitDiwan
Updated on 14-Oct-2021 06:39:01

188 Views

To return a sorted copy of the index, use the index.sort_values() method in Pandas. At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([50, 10, 70, 95, 110, 90, 30]) Display the Pandas index −print("Pandas Index...", index)Sort index values. By default, sorts in Ascending order −print("Sort the index values...", index.sort_values()) ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([50, 10, 70, 95, 110, 90, 30]) # Display the Pandas index print("Pandas Index...", index) # Return the number of elements in the Index print("Number of elements in ... Read More

Python Pandas - Round the Timedelta with daily frequency

AmitDiwan
Updated on 14-Oct-2021 06:37:40

216 Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the daily frequency resolution using the freq parameter with value ‘D’.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 object −timedelta = pd.Timedelta('2 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return the rounded Timestamp with daily frequency. Here, the specified resolution is set using the "freq" parameter −timedelta.round(freq='D') ExampleFollowing is the code −import pandas as pd # TimeDeltas is Python’s standard datetime library uses a ... Read More

Python Pandas - Round the Timedelta with seconds frequency

AmitDiwan
Updated on 14-Oct-2021 06:36:26

2K+ Views

To round the Timedelta with specified resolution, use the timestamp.round() method. Set the seconds frequency resolution using the freq parameter with value ‘s’.At first, import the required libraries −import pandas as pdCreate a Timedelta object −timedelta = pd.Timedelta('1 days 11 hours 22 min 25 s 50 ms 45 ns') Display the Timedelta −print("Timedelta...", timedelta)Return the rounded Timestamp with seconds frequency. Here, the specified resolution is set using the "freq" parameter: −timedelta.round(freq='s') ExampleFollowing 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 ... Read More

Python - Find indexes where values passed as an array should be inserted to maintain order in Pandas index

AmitDiwan
Updated on 14-Oct-2021 06:36:13

427 Views

To find indexes where values passed as an array should be inserted to maintain order in Pandas index, use the index.searchsorted() method.At first, import the required libraries −import pandas as pdCreating Pandas index −index = pd.Index([10, 20, 30, 40, 50]) Display the Pandas index −print("Pandas Index...", index)Searchsorted − set the values to insert like an array and get the exact index positions where these values should be placed −print("The exact positions where the values should be placed?...", index.searchsorted([35, 60]))ExampleFollowing is the code −import pandas as pd # Creating Pandas index index = pd.Index([10, 20, 30, 40, 50]) # ... Read More

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